Data Developer Jobs with Equity ≥ 4%

Summary: Candidates must have a bachelor's degree in a relevant field and at least 12 years of IT experience, with a minimum of 5 years in cloud architecture roles. Proven expertise in Azure and extensive hand

Skills: azure, azure synapse analytics, databricks, python, spark, medallion architecture, etl, elt, ci/cd, data governance, data modeling, big data technologies, infrastructure as code, real-time data processing, ai/ml, database management, sql

Summary: Minimum 3 years of software development experience is required. A Bachelor's degree in a related field is preferred, along with proficiency in multiple programming languages and familiarity with moder

Skills: c#, node.js, react, typescript, java, python, sql server, postgresql, mysql, git, jira, devsecops, agile, restful apis, azure, ai/ml

Summary: Candidates should have over 5 years of experience in large-scale data collection and software engineering, with a deep understanding of internet infrastructure. Proficiency in SQL and Python, along wi

Skills: data collection, software engineering, sql, python, data structures, algorithms, object-oriented programming, functional programming, aws technologies, microservice applications, communication skills, agile environment, creative thinking, troubleshooting, ai tools, data analysis

Summary: 5+ years of industry experience building high-scale, data-intensive software solutions is required. Proficiency in Golang or Java, with strong data engineering skills and cloud-native proficiency is e

Skills: golang, java, distributed systems, microservices architecture, etl pipelines, data replication, cloud-native architecture, kubernetes, problem solving, production debugging, collaboration, communication skills

Summary: Candidates must have experience with Go programming languages and Agile development methodology. Preferred qualifications include 8+ years of relevant experience and a degree in a related technical di

Skills: go, java, test-driven development, scrum, agile, problem-solving, troubleshooting, collaboration, time management, multi-tasking, task-ownership, oral communication, written communication, sql, devops, microservices

Summary: Candidates should have 6+ years of software development experience with a focus on backend development, and proficiency in Golang, Typescript, and Python. Knowledge of Web3 technologies and experience

Skills: software development, backend development, golang, typescript, python, web3 technologies, stablecoins, smart contracts, wallets, ai, open-source projects

Summary: Candidates should have experience in building production data pipelines and operating data streaming solutions on Kubernetes. Familiarity with cybersecurity principles and excellent problem-solving sk

Skills: data engineering, etl, elt, aws, kubernetes, kafka, redpanda, terraform, cybersecurity, api security, container security, problem-solving, communication, machine learning, generative ai, infrastructure-as-code

Summary: Excellent design and Java programming experience is required, along with knowledge of unit testing methodologies and SQL expertise. A bachelor's degree in Computer Science or a related field is also n

Skills: java, spring boot, micro-services, continuous integration, jira, git, jenkins, unit testing, sql, database programming, hibernate, orm frameworks, aws, application design, troubleshooting, documentation

Summary: Design and manage data pipelines using Python, Airflow, and SQL to support pricing models and analytics.

Skills: python, airflow, sql

Summary: Lead data engineering, analytics, and automation. Requires Python, AWS, and Snowflake skills for data ingestion and pipelines.

Skills: python, aws, snowflake, airflow, airbyte

Summary: Develop AI-focused learning modules for K-12; requires Python, Data Science, and teaching ability.

Skills: python, data science, flask

Summary: Seeking a Curriculum Developer for K-12 English programs. Requires curriculum design experience and familiarity with teaching methodologies. Key tools include engaging content, assessment creation, and AI integration.

Skills: curriculum development, online learning, assessment design

Summary: Develop AI agents to enhance customer service experiences using prompt engineering and machine learning. Requires Python, AI/ML, and telephony platform experience.

Skills: python, ai/ml, telephony

Summary: Candidates should have 5-8+ years of experience in data engineering with strong hands-on experience in Snowflake, Airflow, and AWS. Proficiency in Python and SQL is required, along with the ability to

Skills: data engineering, snowflake, airflow, aws, python, sql, etl, elt, data governance, ai, ci/cd, github, data quality, data lineage, data observability, mentoring

Summary: Candidates should have experience with JavaScript/TypeScript and functional testing, along with expertise in automated testing tools. A solid understanding of test frameworks and experience in a start

Skills: javascript, typescript, functional testing, test strategy, test planning, test case design, automated testing, web application structure, llm, generative ai, test frameworks, docker, continuous integration, api testing, cypress, playwright, webdriverio

Summary: A minimum of 8 years of industry experience in data infrastructure/data engineering is required. Familiarity with AWS services and strong fundamentals in data structures and algorithms are also essent

Skills: data infrastructure, data engineering, python, sql, dbt, snowflake, infrastructure as code, cdk, terraform, aws, kafka, hadoop, spark, nosql, ci/cd, machine learning, business intelligence

Summary: Minimum 5 years of experience in software engineering with a focus on large-scale backend systems. Strong proficiency in backend technologies and cloud infrastructure is required.

Skills: software engineering, backend systems, cloud infrastructure, distributed systems, apis, system design, crypto, blockchain, stablecoins, payments, mentoring, collaboration, performance optimization, scalability, reliability, product mindset

Summary: You should have experience building data pipelines and working with ETL systems, as well as proficiency in SQL and programming in Python and Java. Familiarity with big data technologies and healthcare

Skills: data pipelines, etl systems, sql, data warehouse, python, java, big data technologies, kafka, spark, healthcare data formats, hl7, fhir

Summary: A Bachelor or Master’s degree in Computer Science or equivalent is required along with 2-5+ years of professional software development experience. Proficiency in Python and experience with scaling dis

Skills: python, microservices, restful apis, kubernetes, cloud environments, debugging, performance tuning, devops, ci/cd, infrastructure as code, scientific computing, hybrid systems, optimization problems, open-source contributions, collaboration, innovation

Summary: The ideal candidate should have over 8 years of product design experience, particularly in complex workflows and systems. A compelling portfolio demonstrating problem-solving capabilities and a strong

Skills: product design, ai-powered features, developer tools, software development lifecycle, prototyping, collaboration, user research, usability testing, technical understanding, systems thinking, workflow optimization, design communication, iterative design, complex problem solving, interface design, feedback incorporation

Summary: The ideal candidate will have 5+ years of experience in enterprise data management or data engineering roles and hands-on expertise with cloud data platforms. Strong proficiency in Python, PySpark, SQ

Skills: data management, data engineering, azure data factory, databricks, spark, snowflake, kafka, python, pyspark, sql, jupyter notebooks, devops, etl, powerbi, tableau, terraform

Summary: Candidates should have a minimum of 5 years of experience in software engineering or data engineering, with strong programming skills in Python, SQL, and Java. Familiarity with modern data lakehouse t

Skills: data engineering, etl processes, data pipelines, cloud technologies, python, sql, java, data streaming, apache kafka, aws kinesis, apache flink, apache spark, devsecops, agile, machine learning, data warehousing

Summary: The ideal candidate should have 2+ years of experience with React and proven experience in shipping user-facing features. Strong communication and collaboration skills are essential, along with famili

Skills: react, frontend development, web applications, accessibility, performance, reliability, collaboration, mentoring, problem-solving, teamwork, golang, graphql, docker, nosql

Summary: Candidates should have 7+ years of hands-on experience in ML engineering and production model deployment, with expert proficiency in Python and ML frameworks. A deep understanding of transformer archi

Skills: python, ml frameworks, pytorch, tensorflow, jax, transformer architectures, attention mechanisms, nlp, mlops, cloud ml platforms, aws sagemaker, gcp vertex ai, azure ml, docker, kubernetes, llm fine-tuning, multimodal ai models

Summary: Candidates should have 6+ years of development experience in Java and JavaScript, with 5+ years in Adobe Experience Manager. Proficiency in React and experience with DevOps pipelines and cloud platfor

Skills: aem, react, java, javascript, html, css, devops, aws, agile, restful api, frontend development, responsive web development, google analytics, google tag manager, unit testing, ci/cd

Summary: Candidates should have a bachelor's degree in a related field or equivalent experience, along with a minimum of 5 years of hands-on experience in data integration and reporting. Proficiency in SQL and

Skills: data integration, etl workflows, sql, python, power bi, microsoft stack technologies, process automation, technical documentation, problem-solving, critical thinking, communication, collaboration

Summary: Candidates should have 7+ years in data engineering, including 2+ years in a lead role, with strong expertise in Python and SQL. Experience in designing and scaling data platforms in a high-growth env

Skills: python, sql, data engineering, data modelling, data architecture, orchestration frameworks, mentoring, data pipelines, analytics, aws, snowflake, apache iceberg, infrastructure-as-code, observability, automation, version control

Summary: Design educational content for K-12 students focusing on AI topics. Skills needed: Python, Data Science, AI/ML.

Skills: python, data science, flask

Summary: Candidates should have proven experience leading distributed engineering teams and a background in building and deploying software in a SaaS environment. A bachelor's degree in a relevant field and at

Skills: engineering management, devops tools, productivity metrics, developer platforms, saas environment, agile environment, engineering practices, customer collaboration, team leadership, mentoring, software development, technical support, data-driven decision making, code quality, production robustness, hiring

Summary: Candidates must have a bachelor's degree in a quantitative field or equivalent experience in Information Technology. Hands-on experience with SQL, Hadoop, and programming in Scala, Java, or Python is

Skills: data engineering, hadoop, nosql, kafka, spark, ab initio, sql, shell scripting, data quality, data governance, agile methodology, data analysis, cloud services, etl, data warehousing, collibra

Summary: A Bachelor's degree in a quantitative or business field is required, along with 0-2 years of related experience. Technical skills in data analysis, cloud applications, and programming languages such a

Skills: data analysis, data collection, data quality, data validation, qa testing tools, cloud applications, cloud computing, big data, data manipulation, data mining, python, tableau, c#, java, javascript, sql

Summary: The ideal candidate will have 5+ years of experience building large-scale, real-time distributed systems and proficiency in Python and SQL. Familiarity with event-driven architectures and cloud platfo

Skills: data engineering, python, sql, java, scala, nosql, data pipelines, event-driven architectures, messaging frameworks, cloud platforms, erp solutions, hcm solutions, ci/cd, testing, secure coding, collaboration

Summary: The ideal candidate will have proven experience building and operating SaaS or large-scale internal compute infrastructure, with strong software engineering skills in Golang or similar languages. Know

Skills: software engineering, golang, kubernetes, cloud networking, multi-tenant architectures, problem-solving, communication, on-call support, infrastructure optimization, monitoring tools, logging tools, observability tools, apache airflow, cloud technologies, container technologies, disaster recovery

Summary: The ideal candidate should have a bachelor's degree in a related field and 4-6 years of professional experience in data engineering. Proficiency in SQL and experience with high-performance data pipeli

Skills: data engineering, sql, snowflake, informatica, data pipelines, data management, devops, ci/cd, automation, data quality, real-time processing, mentoring, problem-solving, communication, organizational skills

Summary: Candidates should have over 5 years of experience in data management or engineering, with expertise in building data pipelines and performing data analysis. A bachelor's degree in a related field is r

Skills: data management, data engineering, data pipelines, azure data factory, databricks, spark, sql, python, powerbi, tableau, agile, devops, etl, data quality, metadata, collaboration

Summary: Candidates must have 5+ years of data engineering experience and familiarity with multiple cloud platforms. Strong analytic skills and experience with big data tools are also required.

Skills: data engineering, cloud platforms, sql, data modeling, machine learning, data analysis, big data, hadoop, spark, kafka, data quality, data governance, data pipelines, documentation, data security, business intelligence

Summary: The role requires 5+ years of professional Product Design experience and excellence in UX thinking and visual design. A demonstrated interest in crypto products and experience in a collaborative envir

Skills: product design, developer experience, ux thinking, visual design, written communication, collaboration, figma, prototyping tools, ai in product design, crypto products, defi apps, wallets, exchanges, low ego, open minded

Summary: The role requires 5+ years of professional Product Design experience and excellence in UX thinking and visual design. A demonstrated interest in crypto products and experience in a collaborative envir

Skills: product design, developer experience, ux thinking, visual design, written communication, collaboration, figma, prototyping, ai in product design, crypto products, defi apps, wallets, exchanges, low ego, open minded

Summary: Candidates should have at least 3 years of experience engineering data systems with technologies like Spark, Beam, or Flink, and strong experience in relational database schema design. Excellent commu

Skills: software engineering, data systems, api development, relational database design, cloud infrastructure, devops, communication, ownership, craftsmanship

Summary: A Bachelor's degree in a quantitative or business field is required, along with 0-2 years of related experience. Technical skills in data analysis, cloud applications, and programming languages such a

Skills: data analysis, data collection, data quality, data validation, qa testing tools, cloud applications, cloud computing, big data, data manipulation, data mining, python, tableau, c#, java, javascript, sql

Summary: 5+ years of experience building production data pipelines with real user data at scale is required. Deep expertise in SQL and Python, along with experience in modern data stack tools and event-driven

Skills: data engineering, sql, python, bigquery, snowflake, redshift, dbt, airflow, dagster, architectural thinking, event-driven architectures, kafka, pub/sub, sqs, streaming, batch

Summary: Candidates should have 7+ years of professional experience in React development with expert-level TypeScript proficiency and advanced CSS skills. Experience with AI integration, performance optimizati

Skills: react, typescript, css, responsive design, ai integration, performance optimization, seo, git, test-driven development, ci/cd, accessibility, figma, node.js, python, progressive web apps, animations

Summary: Candidates must have 4+ years of hands-on experience in data engineering and deep expertise in building and optimizing data pipelines. A Bachelor's degree in a quantitative field is required, along wi

Skills: data engineering, data pipelines, etl, sql, cloud data warehouse, snowflake, streaming data technologies, medallion architecture, aws, python, data transformation, dbt, mlops, collaboration, data governance, machine learning

Summary: Candidates must be enrolled in an undergraduate program at an accredited university or college, preferably in a related field. A high school diploma or equivalent is required, and SQL experience is a

Skills: data engineering, analytics, linux, python, shell scripts, sql, managed care, research, training, development

Summary: Candidates should have a bachelor's degree in Computer Science or a related field, or equivalent experience, along with 2-4 years of experience with Epic applications and BI tools. Proficiency in data

Skills: business intelligence, data visualization, database design, sql, etl processes, analytical skills, problem solving, communication skills, team orientation, customer service, epic applications, healthcare data, project management, documentation, user training, mentoring

Summary: Bachelor's degree in Computer Science or related field and 5+ years of experience in Software AG Natural development and ADABAS integration are required. Strong analytical skills and familiarity with

Skills: software development, natural, adabas, api design, microservices, cloud technologies, devops, ci/cd, java, c#, python, analytical skills, problem-solving, collaboration, documentation, testing

Summary: Candidates should have a bachelor's degree in Computer Science or a related field and at least 3 years of programming experience. Strong hands-on experience with Python, Django, SQL, Docker, and GCP i

Skills: javascript, python, django, react, next.js, sql, docker, gcp, figma, agile, tailwind css, flexbox, material ui, redux, zustand, formik

Summary: Experience in building frontend applications using best practices, documentation, and testing is essential. A proactive approach to project delivery and a design-oriented mindset are also important.

Skills: frontend development, react, typescript, data manipulation, community engagement, operational excellence, user experience, mentorship, innovation, problem solving, collaboration, communication, cloud development, systems engineering, agile methodologies, prototyping

Summary: Experience in building frontend applications using React and TypeScript is essential. A proactive approach to project delivery and a design-oriented mindset are also important.

Skills: frontend development, react, typescript, data manipulation, community engagement, operational excellence, user experience, mentorship, innovation, problem solving, collaboration, cloud development, systems engineering, agile methodologies, code readability, testing

Summary: Candidates should have solid experience in Azure, specifically Azure Databricks and Azure SQL/SQL Server, along with proficiency in SQL and Python. Familiarity with data modelling methodologies and bu

Skills: azure, azure databricks, azure sql, sql, python, azure data factory, data modelling, metadata driven pipelines, data quality, data integrity, data security, agile principles, azure devops, apache airflow, dbt, bigquery

Summary: A Bachelor’s degree in Computer Science, Engineering, or equivalent experience is required, along with 2+ years of software development experience. Proficiency in Ruby, JavaScript/TypeScript, and SQL

Skills: ruby, javascript, typescript, sql, agile, software development lifecycle, engineering practices, client-server architecture, http protocols, html, css, cloud platforms, devops, collaboration, problem-solving, communication, growth mindset

Summary: Candidates should have over 3 years of engineering management experience and at least 5 years of hands-on experience with distributed serving systems. A strong background in query engines, caching, an

Skills: engineering management, distributed systems, query optimization, python, sql, kubernetes, data performance, collaboration, data infrastructure, apis, caching, indexing, real-time ingestion, olap, mentorship, incident response

Summary: Candidates must have a Bachelor’s or Master’s degree in a related field and at least 5 years of experience in data modeling and analytics. An active security clearance and US citizenship are also requ

Skills: data mining, analytics, cyber security, data modeling, programming, sql, cloud computing, databricks, jupyter, data analysis, data transformation, performance monitoring, communication, interpersonal skills, aws, cyber threats

Summary: Experience in building and operating SaaS infrastructure or managing a large-scale compute platform is required. Candidates should have software engineering expertise, preferably in Golang, and a pass

Skills: saas infrastructure, golang, kubernetes, cloud providers, security, operational excellence, communication skills, on-call rotation, resiliency, scale, apache airflow, multi-cloud environment, data pipelines, network access, disaster recovery, cloud quota management

Summary: Candidates should have at least 3 years of experience in engineering data systems and strong skills in relational database schema design. Experience with cloud infrastructure DevOps and excellent comm

Skills: data engineering, spark, beam, flink, relational database, devops, communication, ownership, craftsmanship

Summary: Bachelor’s degree in Computer Science or related field with at least 7 years of full-time C software development experience is required. Experience with Linux programming, distributed software archite

Skills: c, linux, software development, debugging, code reviews, testing, documentation, networking concepts, data structures, algorithms, voice communication, sip, rtp, safety-critical projects, packet analyzers

Summary: 3+ years of experience with large-scale data and query optimization techniques is required. Proficiency in SQL and experience with AWS cloud services are essential.

Skills: data engineering, sql, aws, etl, data visualization, problem solving, scripting, cloud services, nosql, rdbms, data structures, algorithms, distributed systems, stream-processing, communication, teamwork

Summary: Minimum of 5 years of professional experience in full stack development is required. Proficiency in HTML, CSS, Typescript, Node.js, and MS SQL is essential.

Skills: typescript, html, css, node.js, java, ms sql, problem-solving, collaboration, attention to detail, microservices, frontend development, backend development, database design, code reviews, cloud platforms, ci/cd

Summary: Candidates must have significant experience in software engineering, particularly with Golang and Python, and a strong understanding of data architecture. A relevant degree and extensive experience in

Skills: golang, python, api design, google kubernetes engine, google cloud platform, microservices, event-driven architecture, ci/cd, infrastructure as code, data architecture, observability, apache kafka, sql, git, machine learning, generative ai

Summary: Candidates should have extensive experience delivering data engineering projects with advanced skills in SQL and Python. Knowledge of Databricks and experience with PySpark, code control, and CI/CD pr

Skills: data engineering, sql, python, databricks, pyspark, git, ci/cd, dbt, atlassian, infrastructure as code

Summary: Candidates must have a Master's Degree in relevant fields or a Bachelor's Degree with 3 years of experience. Advanced English proficiency and familiarity with various programming languages and tools a

Skills: code generation, code review, prompt evaluation, data annotation, training, evaluation, large language models, benchmarking, microservices architectures, cloud platforms, containers, kubernetes, jvm profiling, debugging, ai-assisted tools, spring ecosystem

Summary: Candidates should have a Master's Degree in relevant fields or a Bachelor's Degree with 3 years of experience. Advanced English proficiency and familiarity with various programming tools and languages

Skills: code generation, code review, prompt evaluation, data annotation, training, evaluation, large language models, benchmarking, microservices architectures, cloud platforms, containers, kubernetes, jvm profiling, debugging, ai-assisted tools, spring ecosystem

Summary: Candidates must hold a Bachelor's or Master’s Degree in a relevant field and have at least 3 years of Kotlin development experience. Advanced English proficiency (C1) is required along with strong kno

Skills: kotlin, ai, jvm ecosystem, java interoperability, android sdk, jetpack compose, mvvm, clean architecture, coroutines, flows, async programming, di frameworks, git workflows, agile, ci/cd pipelines, docker, secure coding practices

Summary: Candidates must have a Master's degree in a relevant field or a Bachelor's degree with three years of experience. Advanced English proficiency and familiarity with various programming tools and langua

Skills: code generation, code review, prompt evaluation, data annotation, training, evaluation, large language models, benchmarking, microservices architectures, cloud platforms, containers, kubernetes, jvm profiling, debugging, ai-assisted tools, spring ecosystem

Summary: Candidates must have a Master's Degree in a relevant field or a Bachelor's Degree with 3 years of experience. Advanced English proficiency and familiarity with various programming tools and languages

Skills: full stack development, quality assurance, code generation, code review, prompt evaluation, data annotation, training models, benchmarking, spring ecosystem, jpa/hibernate, messaging systems, microservices, cloud platforms, containers, kubernetes, jvm profiling, debugging

Summary: Candidates must hold a Bachelor's or Master's Degree in a relevant field and have at least 3 years of Kotlin development experience. An advanced level of English proficiency (C1) is also required.

Skills: kotlin, ai, jvm ecosystem, java interoperability, android sdk, jetpack compose, mvvm, clean architecture, coroutines, flows, async programming, di frameworks, git workflows, agile, ci/cd pipelines, docker, secure coding practices

Summary: Candidates must have a Master's Degree in relevant fields or a Bachelor's Degree with 3 years of experience. Advanced English proficiency and familiarity with various programming languages and tools a

Skills: code generation, code review, prompt evaluation, data annotation, training, evaluation, large language models, benchmarking, microservices, cloud platforms, containers, kubernetes, jvm internals, performance optimization, debugging, ai-assisted tools

Summary: Candidates must hold a Bachelor's or Master’s Degree in a relevant field and have at least 3 years of Kotlin development experience. An advanced level of English (C1) or above is required, along with

Skills: kotlin, ai, jvm ecosystem, java interoperability, android sdk, jetpack compose, mvvm, clean architecture, coroutines, flows, async programming, di frameworks, git workflows, agile, ci/cd pipelines, docker, secure coding practices

Summary: Candidates must hold a Bachelor's or Master’s Degree in a relevant field and have at least 3 years of Kotlin development experience. Advanced English proficiency (C1 or above) is required, along with

Skills: kotlin, ai, jvm ecosystem, java interoperability, android sdk, jetpack compose, mvvm, clean architecture, coroutines, flows, async programming, di frameworks, git workflows, agile, ci/cd pipelines, docker, secure coding practices

Summary: Candidates must hold a Bachelor's or Master’s Degree in a relevant field and have at least 3 years of Kotlin development experience. Advanced English proficiency (C1 or above) is also required.

Skills: kotlin, ai, jvm ecosystem, java interoperability, android sdk, jetpack compose, mvvm, clean architecture, coroutines, flows, async programming, di frameworks, git workflows, agile, ci/cd pipelines, docker, secure coding practices

Summary: Candidates must hold a Bachelor's or Master's Degree in a relevant field and have at least 3 years of Kotlin development experience. Advanced English proficiency (C1 or above) is also required.

Skills: kotlin, ai, jvm ecosystem, java interoperability, android sdk, jetpack compose, mvvm, clean architecture, coroutines, flows, async programming, di frameworks, git workflows, agile, ci/cd pipelines, docker, secure coding practices

Summary: Candidates must have a Master's Degree in relevant fields or a Bachelor's Degree with 3 years of experience. Advanced English proficiency and familiarity with various programming languages and tools a

Skills: code generation, code review, prompt evaluation, data annotation, training, evaluation, large language models, benchmarking, microservices, cloud platforms, containers, kubernetes, jvm internals, performance optimization, debugging, ai-assisted tools

Summary: Candidates must hold a Bachelor's or Master’s Degree in a relevant field and have at least 3 years of Kotlin development experience. An advanced level of English proficiency (C1) is also required.

Skills: kotlin, ai, jvm ecosystem, java interoperability, android sdk, jetpack compose, mvvm, clean architecture, coroutines, flows, async programming, di frameworks, git workflows, agile, ci/cd pipelines, docker, secure coding practices

Summary: Candidates must have a Master's Degree in relevant fields or a Bachelor's Degree with 3 years of experience. Advanced English proficiency and familiarity with various programming languages and tools a

Skills: code generation, code review, prompt evaluation, data annotation, training, evaluation, large language models, benchmarking, microservices, cloud platforms, containers, kubernetes, jvm internals, performance optimization, debugging, ai-assisted tools

Summary: Candidates must hold a Bachelor's or Master’s Degree in a relevant field and have at least 3 years of Kotlin development experience. Advanced English proficiency (C1) and strong knowledge of the JVM e

Skills: kotlin, ai, jvm ecosystem, java interoperability, android sdk, jetpack compose, mvvm, clean architecture, coroutines, flows, async programming, di frameworks, git workflows, agile, ci/cd pipelines, docker, secure coding practices

Summary: Candidates must hold a Bachelor's or Master’s Degree in a relevant field and have at least 3 years of Kotlin development experience. Advanced English proficiency (C1) and strong knowledge of the JVM e

Skills: kotlin, ai, jvm ecosystem, java interoperability, android sdk, jetpack compose, mvvm, clean architecture, coroutines, flows, async programming, di frameworks, git workflows, agile, ci/cd pipelines, docker, secure coding practices

Summary: Candidates must hold a Bachelor's or Master’s Degree in a relevant field and have at least 3 years of Kotlin development experience. Advanced English proficiency (C1) and strong knowledge of the JVM e

Skills: kotlin, ai, jvm ecosystem, java interoperability, android sdk, jetpack compose, mvvm, clean architecture, coroutines, flows, async programming, di frameworks, git workflows, agile, ci/cd pipelines, docker, secure coding practices

Summary: Candidates must hold a Bachelor's or Master’s Degree in a relevant field and have at least 3 years of Kotlin development experience. An advanced level of English proficiency (C1) is also required.

Skills: kotlin, ai, jvm ecosystem, java interoperability, android sdk, jetpack compose, mvvm, clean architecture, coroutines, flows, async programming, di frameworks, git workflows, agile, ci/cd pipelines, docker, secure coding practices

Summary: Candidates must hold a Bachelor's or Master's Degree in a relevant field and have at least 3 years of Kotlin development experience. Advanced English proficiency (C1) and strong knowledge of the JVM e

Skills: kotlin, ai, jvm ecosystem, java interoperability, android sdk, jetpack compose, mvvm, clean architecture, coroutines, flows, async programming, di frameworks, git workflows, agile, ci/cd pipelines, docker, secure coding practices

Summary: Candidates must hold a Bachelor's or Master’s Degree in a relevant field and have at least 3 years of Kotlin development experience. Advanced English proficiency (C1) and strong knowledge of the JVM e

Skills: kotlin, ai, jvm ecosystem, java interoperability, android sdk, jetpack compose, mvvm, clean architecture, coroutines, flows, async programming, di frameworks, git workflows, agile, ci/cd pipelines, docker, secure coding practices

Summary: Candidates must hold a Bachelor's or Master’s Degree in a relevant field and have at least 3 years of Kotlin development experience. Advanced English proficiency (C1) and strong knowledge of the JVM e

Skills: kotlin, jvm ecosystem, java interoperability, android sdk, jetpack compose, mvvm, clean architecture, coroutines, flows, async programming, di frameworks, git workflows, code reviews, agile, ci/cd pipelines, docker, secure coding practices

Summary: Candidates must have a Master's Degree in relevant fields or a Bachelor's Degree with 3 years of experience. Advanced English proficiency and a strong understanding of various programming languages an

Skills: code generation, code review, prompt evaluation, data annotation, training, evaluation, jvm internals, performance optimization, microservices architectures, cloud platforms, containers, kubernetes, ai-assisted tools, spring ecosystem, ci/cd pipelines, build tools

Summary: Candidates must have a Master's Degree in a relevant field or a Bachelor's Degree with three years of experience. Advanced English proficiency and a strong understanding of various programming languag

Skills: code generation, code review, prompt evaluation, data annotation, training, evaluation, large language models, benchmarking, microservices architectures, cloud platforms, containers, kubernetes, jvm profiling, debugging, ai-assisted tools, spring ecosystem

Summary: Candidates must have a Bachelor's degree in a relevant field and at least 3 years of experience with Rust and its testing tools. Advanced English proficiency and the ability to adapt to complex guidel

Skills: rust, code generation, code review, prompt evaluation, data annotation, large language models, benchmarking, ci/cd, test integration, quality analysis, ai solutions, test automation, advanced english, adaptability, collaboration, problem solving

Summary: Candidates must have a Bachelor's degree in a relevant field and at least 3 years of experience with Rust and its testing tools. Advanced English proficiency and the ability to adapt to new methods ar

Skills: rust, code generation, code review, prompt evaluation, data annotation, large language models, benchmarking, agent-based code execution, python, javascript, typescript, sql, ci/cd, test automation, quality analysis, advanced english

Summary: Candidates must have a Bachelor's degree in a related field and at least 3 years of professional experience with Rust and its testing tools. Advanced English proficiency and the ability to learn new m

Skills: rust, code generation, code review, prompt evaluation, data annotation, large language models, benchmarking, agent-based code execution, python, javascript, typescript, sql, ci/cd, test integration, quality analysis, ai solutions, test automation

Summary: Candidates must hold a Bachelor's or Master’s Degree in a relevant field and have at least 3 years of Kotlin development experience. Advanced English proficiency (C1 or above) is also required.

Skills: kotlin, ai, jvm ecosystem, java interoperability, android sdk, jetpack compose, mvvm, clean architecture, coroutines, flows, async programming, di frameworks, git workflows, agile, ci/cd pipelines, docker, secure coding practices

Summary: Candidates must hold a Bachelor's or Master’s Degree in a relevant field and have at least 3 years of Kotlin development experience. Advanced English proficiency (C1 or above) is required, along with

Skills: kotlin, ai, jvm ecosystem, java interoperability, android sdk, jetpack compose, mvvm, clean architecture, coroutines, flows, async programming, di frameworks, git workflows, agile, ci/cd pipelines, docker, secure coding practices

Summary: Candidates must hold a Bachelor's or Master’s Degree in a relevant field and have at least 3 years of Kotlin development experience. Advanced English proficiency (C1) and strong knowledge of the JVM e

Skills: kotlin, ai, jvm ecosystem, java interoperability, android sdk, jetpack compose, mvvm, clean architecture, coroutines, async programming, di frameworks, git workflows, agile, ci/cd pipelines, docker, secure coding practices, debugging

Summary: Candidates should have at least 3 years of experience in a similar role and strong expertise in DBT, SQL, Python, and data orchestration frameworks. A degree in Computer Science, Engineering, IT, or a

Skills: data engineering, dbt, sql, python, data orchestration, etl, elt, data modeling, data mining, big data processing, cloud environments, google cloud platform, relational databases, bi tools, analytics, problem solving

Summary: Candidates should have over 5 years of experience with React and strong knowledge of modern JavaScript. Advanced spoken and written English skills are required, along with the ability to work during P

Skills: react, javascript, responsive ui development, rest api integration, problem-solving, collaboration, azure, ci/cd, observability

Summary: Candidates should have over 5 years of experience in building data infrastructure and proven skills in ETL/ELT workflows. Expertise in SQL and familiarity with cloud-based architectures, particularly

Skills: data engineering, etl, data pipelines, sql, python, aws, data modeling, cloud architecture, ci/cd, monitoring, data integrity, data quality, automation, infrastructure-as-code, analytics, business intelligence

Summary: Candidates should have a Bachelor's Degree or equivalent experience, with a track record of shipping and maintaining software products in Go. Extensive experience in system design for large-scale appl

Skills: go, data engineering, software craftsmanship, algorithms, data structures, system design, architecture, apache kafka, unit testing, test driven development, docker, kubernetes, cloud infrastructure, data modeling, bioinformatics, grpc

Summary: Candidates must have significant knowledge of the crypto industry and at least 4 years of hands-on experience with data modeling, schema design, and data warehousing. Proficiency in programming langua

Skills: data architecture, data engineering, data modeling, schema design, data operations, data warehousing, typescript, go, python, sql, postgresql, etl solutions, blockchain, devops, solana, microservices, automation

Summary: A BS or MS degree in Computer Engineering, Computer Science, or a related field is required, along with 5+ years of software and firmware security engineering experience. Strong comprehension of secur

Skills: system software security, root of trust, security firmware development, python, scripting, system programming, server architectures, security fundamentals, threat modeling, incident response, code audit, ci/cd, data center networking, linux security, application security, post-quantum cryptography

Summary: Candidates should have a bachelor's degree in Computer Science or a related field and at least 5 years of experience in building and maintaining data-intensive applications. Proficiency in modern data

Skills: data engineering, data pipelines, data modeling, python, java, scala, sql, spark, airflow, cloud platforms, databricks, data visualization, collaboration, automation, mentoring, troubleshooting

Summary: Candidates should have 3+ years of experience as a full-stack engineer with strong Python expertise and hands-on experience in building data pipelines. Proficiency with data orchestration frameworks,

Skills: python, data pipelines, data processing, etl, elt, cloud platforms, docker, kubernetes, data modeling, api development, data optimization, machine learning, observability, opensearch, stream processing, real-time data systems

Summary: Candidates should have 6-8 years of experience with various technologies and agile practices. Experience with cloud infrastructure and building partnerships with stakeholders is also required.

Skills: agile practices, tdd, team events facilitation, legacy systems, greenfield projects, go, .net, java, python, ruby, javascript, ci pipelines, cd best practices, cloud infrastructure, infrastructure as code, technical approaches, mentorship, genai

Summary: Bachelor's degree in Computer Science, Engineering, or a related field is required along with 8 years of experience, including 2 years as a Sales Engineer or data integration specialist in the SaaS in

Skills: sales engineering, data integration, saas, azure, data mapping, apis, data pipelines, python, sql, problem-solving, communication, teamwork, agile environment, technical expertise, customer collaboration, product development

Summary: Candidates must have a bachelor's degree in Computer Science or related discipline and a minimum of eight years of experience in software design and development. Expertise in secure development practi

Skills: python, snowflake, llms, rags, cloud services, .net, c#, java, node.js, javascript, typescript, secure development, ci/cd, sql, agile, tdd

Summary: Candidates should have a bachelor's or associate's degree in a related field, with at least five years of relevant experience in system software development and security remediation. Experience in Agi

Skills: system-level software development, troubleshooting, security remediation, agile methodologies, kubernetes, scripting, documentation, collaboration, windows, rhel, vmware, sql/plsql, devsecops, performance monitoring, legacy systems, automation

Summary: A bachelor's degree in a relevant field is required, along with experience in Data Engineering using various tools and languages. Strong numerical and analytical skills are essential for this role.

Skills: data engineering, dbt, spark, python, aws athena, presto, aws quicksight, sql, numerical skills, analytical skills, etl, business intelligence, ai, ml, data pipelines, automation

Summary: A bachelor's degree in a relevant field is required along with experience in Data Engineering using tools like DBT, Spark, and AWS. Strong skills in SQL and Python, as well as great numerical and anal

Skills: data engineering, dbt, spark, python, aws athena, presto, aws quicksight, sql, etl, business intelligence, ai, ml, numerical skills, analytical skills

Summary: Candidates should have experience in Data Engineering with tools like DBT, Spark, and Python. A bachelor's degree in a related field and strong numerical and analytical skills are also required.

Skills: data engineering, dbt, spark, python, aws athena, presto, aws quicksight, sql, numerical skills, analytical skills

Summary: A bachelor's degree in a relevant field is required along with experience in data engineering tools and languages such as DBT, Spark, and Python. Strong numerical and analytical skills are essential f

Skills: data engineering, dbt, spark, python, aws athena, presto, aws quicksight, sql, numerical skills, analytical skills, etl, business intelligence, ai, ml, data pipelines, automation

Summary: Candidates should have at least 10 years of professional software engineering experience, with 5 years leading other software engineers. Expertise in data architecture, ELT development, and proficienc

Skills: data architecture, business intelligence, elt development, data transformation, data modeling, report design, python, typescript, sql, infrastructure as code, aws, etl tooling, kinesis data streaming, tableau, hipaa, soc, hitrust

Summary: Candidates should have at least 10 years of professional software engineering experience, with 5 years leading other engineers and expertise in data architecture and business intelligence systems. Pro

Skills: data architecture, business intelligence, elt development, data transformation, data modeling, report design, python, typescript, sql, infrastructure as code, aws, etl tooling, kinesis, tableau, hipaa, golang

Summary: Candidates should have a bachelor's degree in a related field and at least 5 years of experience in engineering roles, with a minimum of 3 years in data engineering. Proficiency in SQL, experience wit

Skills: data engineering, data architecture, sql, cloud data warehouse, dbt, python, aws, gcp, business intelligence, metabase, data security, troubleshooting, agile, stakeholder management, cross-functional teams, data modeling

Summary: Candidates should have a bachelor's degree in Computer Science or a related field and at least one year of experience in a relevant role. Proficiency in Python, SQL, and data modelling techniques is e

Skills: data engineering, python, sql, data modelling, bigquery, dbt, ai, llm systems, workflow orchestration, aws, gcp, linux, restful apis, react, typescript, kotlin

Summary: B.S. or M.S. in Computer Science or similar field and 5+ years of software engineering experience required. Proficiency in distributed micro-services development and experience with databases and data

Skills: python, java, aws, terraform, kubernetes, agile, data pipelines, big data, sql, nosql, olap, microservices, data architecture, collaboration, mentoring, analytical skills

Summary: Candidates should have 5+ years of experience in data engineering and strong SQL skills. They must demonstrate the ability to work autonomously and have hands-on experience managing cloud data warehou

Skills: data engineering, sql, data pipelines, data modeling, cloud data warehouses, postgres, airbyte, dbt, tableau, data governance, analytics, business intelligence, etl, data quality, cross-functional collaboration, mentorship

Summary: Candidates should have a Bachelor's or Master's degree in a related technical discipline and a minimum of 3 years of software development experience on secure, cloud-based platforms. Strong programmin

Skills: data engineering, etl pipelines, data integration, python, pyspark, spark, hive, hadoop, cloud-based solutions, problem-solving, mentoring, collaboration, documentation, continuous improvement, data analysis, testing

Summary: Candidates should have a Bachelor's or Master's degree in a related technical discipline and at least 7 years of professional experience in software development, preferably in cloud-based environments

Skills: data engineering, cloud-based solutions, python, java, apache spark, hadoop, data governance, distributed systems, project management, technical leadership, problem solving, mentoring, collaboration, software development, data architecture, analytics technologies

Summary: 3-5 years of experience as a fullstack developer with strong skills in JavaScript/TypeScript and Python. Familiarity with Flutter and experience deploying services on GCP are also required.

Skills: fullstack development, javascript, typescript, node.js, python, flutter, google cloud platform, git, collaboration, problem solving

Summary: 15+ years of experience in data engineering and analytics platforms, including 7+ years in senior leadership roles. Expertise in cloud data warehouses and experience supporting AI/ML teams through adv

Skills: data engineering, enterprise integrations, analytics platforms, technical leadership, architecture design, pipeline development, sales systems, marketing systems, finance systems, ai/ml support, cloud data warehouses, orchestration tools, integration platforms, real-time pipelines, sql, python

Summary: Candidates should have 5 years of progressively complex experience in software development, with .NET and SQL experience required. Mulesoft experience is preferred, along with familiarity with Agile d

Skills: software development, .net, sql, mulesoft, agile development, angular, maui, critical thinking, attention to detail, quality work

Summary: Candidates must have a bachelor's degree in a related field and at least 7 years of experience in data engineering and ETL development. Supervisory experience and familiarity with cloud environments a

Skills: data engineering, etl development, data warehousing, data visualization, sql, java, xml, cloud computing, aws, azure, talend, ssis, snowflake, business intelligence, data analytics, metadata management, database security

Summary: 15+ years of experience in data engineering and analytics platforms, with 7+ years in senior leadership roles. Proven ability to manage global teams and deliver scalable solutions in high-growth envir

Skills: data engineering, enterprise integrations, analytics platforms, sales tech stacks, marketing tech stacks, finance systems, ai/ml support, data infrastructure, cloud data warehouses, orchestration tools, integration platforms, data ingestion, sql, python, cloud platforms, data modeling

Summary: A bachelor's degree in a technical field and 15+ years of product management experience are required. Candidates should have a strong technical background and proven experience in building developer e

Skills: product management, developer tools, sdks, gpu computing, machine learning, hpc, technical leadership, analytical abilities, communication, user-centric development, cross-functional collaboration, data-driven insights, continuous improvement, developer ecosystems, technical evangelism, open-source software

Summary: Candidates must have an active security clearance and US citizenship, along with a Bachelor's or Master's degree in Computer Science or Software Development. A minimum of 1 year of experience in Pytho

Skills: python development, aws serverless architecture, cybersecurity, analytics, machine learning, big data, databricks, splunk, shell scripting, network monitoring, linux, continuous integration, continuous delivery, automation, intrusion detection, information sharing

Summary: Candidates must have a Bachelor’s or Master’s degree in a relevant field and at least 5 years of experience in data modeling and analytics. An active security clearance and US citizenship are required

Skills: data mining, analytics, cyber security, data modeling, programming, sql, aws, databricks, jupyter, visualization, cloud computing, data analysis, machine learning, interpersonal skills, training, performance monitoring

Summary: Proven experience as a Product Manager with a focus on developer platforms or DevOps is required. Strong understanding of software development lifecycles and cloud computing technologies is essential.

Skills: product management, devops, infrastructure, software development lifecycle, cloud computing, information security, containerization, orchestration, infrastructure-as-code, data-driven decision making, communication, collaboration, stakeholder management, agile environment, developer empowerment, innovation

Summary: Candidates must have strong skills in JavaScript and Python, as well as experience with n8n and database management. Familiarity with ERP systems and E-Commerce processes is a plus.

Skills: javascript, nodejs, firebase functions, vue.js, python, sql, nosql, google cloud, docker, n8n, erp systems, e-commerce, logistics, deployment workflows, code reviews, automated tests

Summary: Candidates should have 4+ years of professional experience as a data engineer, with expertise in SQL and dbt. Familiarity with workflow orchestration tools like Airflow and strong problem-solving skil

Skills: sql, dbt, workflow orchestration tools, airflow, data quality, data pipelines, analytics, collaboration, problem-solving, ai, automation, communication, etl, data models, data documentation, metrics design

Summary: Candidates should have a bachelor's degree in a quantitative or technical field and 4-6 years of experience in data engineering or related fields. Strong knowledge of data pipeline development, ETL/EL

Skills: data engineering, data pipelines, etl, sql, informatica, snowflake, data modeling, real-time processing, batch processing, data quality, data governance, cloud-based platforms, devsecops, problem-solving, analytical skills, communication skills

Summary: Candidates should have over 5 years of software engineering experience, with 1-2 years specifically in AI/ML systems. Proficiency in LLM frameworks, cloud platforms, and strong communication skills ar

Skills: software engineering, ai/ml systems, llm frameworks, vector databases, rag pipelines, cloud platforms, containerization, apis, backend languages, communication skills, problem-solving skills, observability, multimodal ai, model fine-tuning, benchmarking

Summary: Candidates must have a minimum of 4 years of industry experience in software engineering and be fluent in at least one major programming language. Experience in developer infrastructure roles or relat

Skills: software engineering, developer experience, ci/cd, test infrastructure, observability, go, scala, php, typescript, react, next.js, swift, kotlin, python, developer infrastructure, problem solving

Summary: Candidates should have a Bachelor's or Master's degree in Computer Science or equivalent experience, along with 5+ years of professional software engineering experience. Strong proficiency in Python a

Skills: python, java, aws, terraform, kubernetes, data pipelines, distributed systems, microservices, sql, nosql, olap, data lake architectures, agile, mentorship, problem-solving, analytical skills

Summary: Candidates should have demonstrated experience building complex Angular applications and strong knowledge of reactive programming. Familiarity with modern encryption concepts and a passion for open so

Skills: angular, reactive programming, rxjs, front-end state management, tailwind css, problem-solving, collaboration, adaptability, communication, encryption, open source, user experience

Summary: The ideal candidate should have 3-5 years of experience as a fullstack developer with strong skills in Flutter and a solid grounding in Node.js and/or Python. Experience with Google Cloud Platform and

Skills: fullstack development, flutter, ios development, android development, node.js, python, google cloud platform, git, linear, cross-platform development, backend services, collaboration, lean environment, autonomy, customer-facing apps, agile methodologies

Summary: Candidates should have a bachelor's degree in Computer Science, MIS, or a related field, or equivalent work experience, along with a minimum of four years of experience with ETL, BI, and database solu

Skills: data visualization, analytics, etl, bi solutions, sql, power bi, ssis, devops, ci/cd, analytic skills, problem-solving, dashboard creation, report generation, collaboration, automation, process improvement

Summary: A bachelor's degree in a quantitatively rigorous discipline is preferred, along with 1-3 years of relevant experience in data science or consulting. Candidates should have a high level of comfort with

Skills: data science, machine learning, sql, python, problem solving, communication, analytical skills, a/b testing, data analysis, customer insights, operational efficiency, user acquisition, partnership growth, statistical analysis, technical skills, soft skills

Summary: A bachelor's degree in a quantitatively rigorous discipline is preferred, along with 1-3 years of relevant experience in data science or management consulting. Candidates should be comfortable with SQ

Skills: data science, machine learning, sql, python, data analysis, a/b testing, problem solving, communication, customer insights, operational efficiency, statistical analysis, business strategy, user acquisition, partnership growth, automation, technical skills

Summary: A bachelor's degree in a quantitatively rigorous discipline is preferred, along with 1-3 years of relevant experience in data science or consulting. Candidates should be comfortable with SQL or Python

Skills: data science, machine learning, sql, python, problem solving, communication, analytical skills, a/b testing, data analysis, customer insights, operational efficiency, user acquisition, partnership growth, statistical analysis, technical skills, soft skills

Summary: Candidates must have a Bachelor’s degree with 5+ years of experience, a Master’s degree with 3+ years of experience, or a PhD in a quantitative field. Proficiency in Python and experience with Generat

Skills: artificial intelligence, machine learning, python, data analysis, generative ai, software development, fairness evaluations, ethical standards, compliance, cross-functional collaboration, communication skills, risk mitigation, transparency, accountability, healthcare, responsible ai

Summary: Candidates should have a Master's degree or higher in a quantitative field and at least 3 years of experience managing data scientists. A strong understanding of data science fundamentals and experien

Skills: data science, machine learning, statistical analysis, data preparation, root cause investigation, sql, pandas, r, airflow, bash, linux/unix, git, data governance, analytical frameworks, mentoring, collaboration

Summary: Candidates should have a Master's degree with 6+ years of experience or a Ph.D. with 3+ years in Data Science or related fields. Strong proficiency in Python, SQL, and ML libraries, along with experie

Skills: machine learning, ai, data science, python, sql, statistical analysis, time series forecasting, regression modeling, classification techniques, cloud platforms, data pipelines, model deployment, business acumen, communication, problem solving, collaboration

Summary: Candidates must have a Master’s Degree in a relevant field or a Bachelor’s Degree with 3 years of experience. Advanced English proficiency (C1 or above) and strong knowledge of the JVM ecosystem are r

Skills: kotlin, ai, jvm ecosystem, java interoperability, android sdk, jetpack compose, mvvm, clean architecture, coroutines, flows, async programming, di frameworks, docker, cloud platforms, aws, azure, gcp

Summary: Candidates must have a Master's Degree in a relevant field or a Bachelor's Degree with three years of experience. Proficiency in Java and familiarity with various tools and frameworks is essential.

Skills: java, quality assurance, ai tutor, code generation, code review, data annotation, large language models, spring ecosystem, jpa/hibernate, microservices, cloud platforms, kubernetes, jvm profiling, debugging, automation, ci/cd

Summary: Candidates should have a strong background in data science and experience in developing predictive models. A focus on customer experience and business outcomes is essential.

Skills: data science, customer experience, revenue growth, churn reduction, ltv forecasting, dollars-at-risk scoring, collaboration, communication, accountability, problem solving, curiosity, model development, performance analysis, statistical analysis, machine learning, data analysis

Summary: Experience with CLI tools, DevOps, or Infrastructure-as-Code is required, along with prior experience owning a technical product. Experience building developer tools or working in a fast-growing start

Skills: product management, developer adoption, cli tools, devops, infrastructure-as-code, technical product ownership, developer tools, cloud costs, user experience, collaboration, product discovery, metrics analysis, customer conversations, roadmap decisions, documentation, community building

Summary: Candidates should have 2-4 years of professional experience in Data Engineering and Data Warehousing, with strong skills in Python and SQL. Experience with ETL/ELT processes, cloud infrastructure, and

Skills: data engineering, data warehousing, python, parquet, spark, azure databricks, sql, etl, elt, data modelling, bi visualization, ci/cd, cloud infrastructure, master data management, communication, collaboration

Summary: Active DHS CBP Public Trust Clearance or higher is required. Candidates should have 2-4 years of industry experience in Data Engineering and coding commercial software.

Skills: python, aws, hadoop, spark, kafka, postgres, cassandra, azkaban, luigi, airflow, ec2, emr, rds, redshift, storm, elasticsearch

Summary: Candidates must be currently enrolled graduate students in Computer Science or related fields with strong proficiency in modern web development. Experience with backend development, database managemen

Skills: web development, html5, css3, javascript, react, node.js, python, sql, nosql, web security, git, problem-solving, collaboration, communication, statistics, data analysis

Summary: Candidates must have a bachelor's degree in Computer Science or related discipline and a minimum of five years of experience in designing test plans and writing automated tests. Proficiency in program

Skills: automated testing, api testing, ci/cd, test plans, debugging, code reviews, sql, test frameworks, performance testing, scripting languages, continuous integration, root cause analysis, test data models, collaboration, communication, mentoring

Summary: Candidates must have a Bachelor's Degree or equivalent experience with a minimum of 10 years of relevant experience. Strong experience with ReactJS, JavaScript/TypeScript, HTML, and CSS is required, a

Skills: reactjs, javascript, typescript, html, css, full stack development, restful apis, python, django, flask, ui/ux design, unit testing, git, ci/cd, azure, sql server

Summary: Candidates should have a Bachelor's Degree in a relevant field and 5 to 10 years of experience in Software Engineering or Data Engineering. Knowledge of Databricks, Spark, and experience with AWS serv

Skills: data engineering, big data, data analysis, cloud computing, aws, databricks, python, spark, data pipelines, data wrangling, machine learning, software development, data modeling, data integration, agile, linux

Summary: Candidates must have a Bachelor's Degree in a relevant field and 5 to 10 years of experience in Software Engineering or Data Engineering. Knowledge of Databricks, Spark, and experience with AWS servic

Skills: data engineering, big data, aws, databricks, python, spark, data analysis, data pipelines, data wrangling, machine learning, software engineering, data modeling, agile, linux, data visualization, kafka

Summary: Candidates must have a BS degree in Computer Science or related field with 3+ years of experience, or a Master's degree with 2+ years of experience. Proficiency in Databricks, Python, Spark, and data

Skills: databricks, azure, data engineering, etl, ai technologies, python, spark, r, data governance, agile, ci/cd, infrastructure-as-code, data quality, data management, cost optimization, data analytics

Summary: Candidates must have at least 4 years of experience in Data Infrastructure and be proficient in Python and SQL query design. An operational mindset with skills in problem diagnosis, root cause analysi

Skills: data architecture, data engineering, python, sql, hive, spark, trino, data lakes, data pipelines, cost efficiency, incident management, problem diagnosis, root cause analysis, performance tuning, interpersonal skills, operational mindset

Summary: Candidates should have 8+ years of software engineering experience, including 2 years in a leadership role. Proficiency in Python, Go, or C++, and experience with large-scale distributed systems on cl

Skills: software engineering, technical leadership, data infrastructure, cloud services, distributed systems, data processing, etl/elt, networking principles, i/o optimization, system design, mentorship, communication skills, robotics, data transformation, containerization, orchestration technologies

Summary: 4+ years of experience as a Data Engineer with expertise in SQL and Python. Experience in building end-to-end data infrastructure and a strong focus on customer needs is essential.

Skills: data engineering, etl, elt, sql, python, data modeling, performance tuning, data warehousing, data pipelines, data infrastructure, monitoring, alerting, customer-facing metrics, privacy standards, event streaming, ci/cd

Summary: Bachelor's degree in Computer Science or equivalent experience is required, along with a minimum of 5 years of professional software development experience. Strong experience with .NET, C#, and cloud

Skills: c#, .net, sql, apis, cloud technologies, agile methodologies, secure coding practices, ci/cd, data modeling, automation, debugging, collaboration, communication, object-oriented programming, distributed systems, test-driven development

Summary: Candidates should have 5-7 years of relevant software development experience and a post-secondary degree or equivalent. Proficiency in Java and a strong understanding of enterprise identity and access

Skills: java, backend frameworks, enterprise identity management, security protocols, rest apis, web technologies, oop, data structures, synchronous programming, asynchronous programming, software design patterns, devops practices, testing frameworks, cloud development, problem-solving, leadership

Summary: Candidates must have a Master's Degree in a relevant field or a Bachelor's Degree with 3 years of experience. Advanced English proficiency (C1 or above) and strong knowledge of the JVM ecosystem and r

Skills: kotlin, ai, jvm ecosystem, java interoperability, android sdk, jetpack compose, mvvm, clean architecture, coroutines, flows, async programming, di frameworks, dagger, hilt, koin, ci/cd pipelines, docker, cloud platforms

Summary: Candidates must have a Master’s Degree in a relevant field or a Bachelor’s Degree with 3 years of experience. Advanced English proficiency (C1 or above) and strong knowledge of the JVM ecosystem are r

Skills: kotlin, ai, jvm ecosystem, java interoperability, android sdk, jetpack compose, mvvm, clean architecture, coroutines, flows, async programming, di frameworks, dagger, hilt, koin, ci/cd pipelines, docker, cloud platforms

Summary: Candidates must have a Master’s Degree in a relevant field or a Bachelor’s Degree with 3 years of experience. Advanced English proficiency (C1 or above) and strong knowledge of the JVM ecosystem are r

Skills: kotlin, ai, jvm ecosystem, java interoperability, android sdk, jetpack compose, mvvm, clean architecture, coroutines, flows, async programming, di frameworks, dagger, hilt, koin, ci/cd pipelines, docker, cloud platforms

Summary: Candidates must have a Master’s Degree in a relevant field or a Bachelor’s Degree with 3 years of experience. Advanced English proficiency (C1 or above) and strong knowledge of the JVM ecosystem are r

Skills: kotlin, ai, jvm ecosystem, java interoperability, android sdk, jetpack compose, mvvm, clean architecture, coroutines, flows, async programming, di frameworks, dagger, hilt, koin, ci/cd pipelines, docker, cloud platforms

Summary: Candidates must have a Master’s Degree in a relevant field or a Bachelor’s Degree with 3 years of experience. Advanced English proficiency (C1 or above) and strong knowledge of the JVM ecosystem are r

Skills: kotlin, ai, jvm ecosystem, java interoperability, android sdk, jetpack compose, mvvm, clean architecture, coroutines, flows, async programming, di frameworks, dagger, hilt, koin, ci/cd pipelines, docker, cloud platforms

Summary: Candidates must have a Master’s Degree in a relevant field or a Bachelor’s Degree with 3 years of experience. Advanced English proficiency (C1 or above) and strong knowledge of the JVM ecosystem are r

Skills: java, android sdk, jetpack compose, mvvm, clean architecture, coroutines, flows, async programming, di frameworks, dagger, hilt, koin, ci/cd pipelines, docker, aws, azure, gcp

Summary: Candidates must have a Master’s Degree in a relevant field or a Bachelor’s Degree with 3 years of experience. Advanced English proficiency (C1 or above) and strong knowledge of the JVM ecosystem are r

Skills: java, android sdk, jetpack compose, mvvm, clean architecture, coroutines, flows, async programming, di frameworks, dagger, hilt, koin, ci/cd pipelines, docker, aws, azure, gcp

Summary: Candidates must have a Master’s Degree in relevant fields or a Bachelor’s Degree with 3 years of experience. Advanced English proficiency (C1 or above) and strong knowledge of the JVM ecosystem are re

Skills: java, android sdk, jetpack compose, mvvm, clean architecture, coroutines, flows, async programming, di frameworks, dagger, hilt, koin, ci/cd pipelines, docker, aws, azure, gcp

Summary: Candidates must have a BS/BA degree in a related field and at least 5 years of experience in writing production-level code, particularly in Python and SQL. Knowledge of sports betting and familiarity

Skills: python, sql, airflow, kubernetes, etl pipelines, rest apis, git, continuous integration, deployment, shell scripting, cloud computing, aws, web scraping, data cleaning, data science, machine learning

Summary: Candidates should have a bachelor's degree in a related field or equivalent experience, along with 3+ years of experience with Microsoft data and business intelligence solutions. Strong communication

Skills: azure data platform, power bi, data engineering, data analytics, data pipelines, ai-driven solutions, client relationship skills, problem solving, microsoft azure, synapse, data factory, databricks, data lake, data warehouse, itil, documentation

Summary: Candidates should have a Master's Degree in relevant fields or a Bachelor's Degree with 3 years of experience. Advanced English proficiency and familiarity with various programming tools and methodolo

Skills: java, quality assurance, code generation, code review, prompt evaluation, data annotation, large language models, benchmarking, microservices, spring ecosystem, cloud platforms, containers, kubernetes, jvm profiling, debugging, ai-assisted tools

Summary: Candidates must have a Master's Degree in relevant fields or a Bachelor's Degree with 3 years of experience. Proficiency in Java and familiarity with various tools and frameworks is essential.

Skills: java, quality assurance, code generation, code review, data annotation, large language models, spring boot, spring data, spring security, jpa, hibernate, kafka, rabbitmq, aws, azure, kubernetes, ci/cd

Summary: Candidates should have a Master's Degree in relevant fields or a Bachelor's Degree with 3 years of experience. Proficiency in Java and familiarity with various tools and frameworks is essential.

Skills: java, quality assurance, code generation, code review, data annotation, large language models, spring boot, spring data, spring security, jpa, hibernate, cloud platforms, aws, azure, kubernetes, microservices, ai tools

Summary: Candidates should have a Master's degree in relevant fields or a Bachelor's degree with three years of experience. Proficiency in Java and familiarity with various tools and frameworks is essential.

Skills: java, quality assurance, code generation, code review, prompt evaluation, data annotation, large language models, benchmarking, microservices, spring boot, jpa, cloud platforms, kubernetes, ai tools, performance optimization, debugging

Summary: Candidates should have a Master's Degree in relevant fields or a Bachelor's Degree with 3 years of experience. Proficiency in Java and familiarity with various tools and frameworks is essential.

Skills: java, quality assurance, code generation, code review, prompt evaluation, data annotation, large language models, benchmarking, microservices, spring boot, cloud platforms, kubernetes, ai-assisted tools, jvm profiling, debugging, performance optimization, automation

Summary: Candidates must have a Master's Degree in relevant fields or a Bachelor's Degree with 3 years of experience. Advanced English proficiency and experience with various programming tools and frameworks a

Skills: java, quality assurance, code generation, code review, prompt evaluation, data annotation, large language models, spring boot, spring data, spring security, jpa, hibernate, cloud platforms, containers, kubernetes, ai-assisted tools, jvm profiling

Summary: The role requires 5+ years of experience with Microsoft’s Azure data stack and experience in a dynamic startup environment. Candidates should be comfortable translating ambiguous data needs into actio

Skills: azure data factory, azure synapse analytics, microsoft power bi, etl pipelines, data warehousing, python, data modeling, data aggregation, data analysis, agile practices, collaboration, troubleshooting, documentation, software development, data pipelines, stakeholder interaction

Summary: Candidates must have a Master's Degree in relevant fields or a Bachelor's Degree with three years of experience. Advanced English proficiency and familiarity with various programming languages and too

Skills: code generation, code review, prompt evaluation, data annotation, training, evaluation, large language models, spring boot, spring data, spring security, jpa, hibernate, cloud platforms, containers, kubernetes, ai-assisted tools, jvm profiling

Summary: Candidates must have a Master's Degree in a relevant field or a Bachelor's Degree with three years of experience. Advanced English proficiency and familiarity with various programming languages and to

Skills: code generation, code review, prompt evaluation, data annotation, training large language models, benchmarking, microservices architectures, cloud platforms, jvm internals, performance optimization, ai-assisted tools, spring ecosystem, containers, kubernetes, debugging, automation

Summary: Candidates must have a Master's Degree in relevant fields or a Bachelor's Degree with three years of experience. Advanced English proficiency and a strong understanding of various programming language

Skills: code generation, code review, prompt evaluation, data annotation, training, evaluation, large language models, benchmarking, microservices architectures, cloud platforms, containers, kubernetes, jvm profiling, debugging, ai-assisted tools, spring ecosystem

Summary: Candidates should have a minimum of 7-10 years of experience in software development, focusing on application development. Proficiency in multiple programming languages and a strong understanding of s

Skills: agile application development, enterprise data management, enterprise architecture, program management, java, c#, python, javascript, cloud computing, devops, ci/cd, docker, kubernetes, software development, software architecture, problem-solving

Summary: Candidates must have a Master’s Degree in relevant fields or a Bachelor’s Degree with 3 years of experience. Advanced English proficiency (C1 or above) and familiarity with various programming and dev

Skills: kotlin, coroutines, flows, async programming, di frameworks, git workflows, code reviews, agile, scrum, ci/cd pipelines, docker, cloud platforms, secure coding practices, ai-assisted development tools

Summary: Candidates must have a Master’s Degree in a relevant field or a Bachelor’s Degree with 3 years of experience. Advanced English proficiency and familiarity with various programming and development tool

Skills: kotlin, coroutines, flows, async programming, di frameworks, git workflows, code reviews, agile, scrum, ci/cd pipelines, docker, cloud platforms, aws, azure, gcp, secure coding practices, ai-assisted development tools

Summary: Candidates must have a Master’s Degree in a relevant field or a Bachelor’s Degree with 3 years of experience. Advanced English proficiency (C1 or above) and familiarity with various programming and de

Skills: kotlin, coroutines, flows, async programming, di frameworks, git workflows, code reviews, agile, scrum, ci/cd pipelines, docker, cloud platforms, secure coding practices, ai-assisted development tools

Summary: Candidates must have a Master’s Degree in a relevant field or a Bachelor’s Degree with 3 years of experience. Advanced English proficiency and familiarity with various programming and development tool

Skills: kotlin, coroutines, flows, async programming, di frameworks, git workflows, code reviews, agile, scrum, ci/cd pipelines, docker, cloud platforms, secure coding practices, ai-assisted development tools

Summary: Candidates must have a Master's Degree in relevant fields or a Bachelor's Degree with 3 years of experience. Advanced English proficiency (C1 or above) and familiarity with various programming and dev

Skills: kotlin, coroutines, flows, async programming, di frameworks, git workflows, code reviews, agile, scrum, ci/cd pipelines, docker, cloud platforms, aws, azure, gcp, secure coding practices, ai-assisted development tools

Summary: Candidates must have a Master’s Degree in relevant fields or a Bachelor’s Degree with 3 years of experience. Advanced English proficiency (C1 or above) is required along with specific technical skills

Skills: coroutines, flows, async programming, di frameworks, git workflows, code reviews, agile, scrum, ci/cd pipelines, docker, cloud platforms, secure coding practices, ai-assisted development tools

Summary: Candidates must have a Master's Degree in a relevant field or a Bachelor's Degree with 3 years of experience. An advanced level of English (C1) is required, along with proficiency in various programmi

Skills: coroutines, flows, async programming, di frameworks, git workflows, code reviews, agile, scrum, ci/cd pipelines, docker, cloud platforms, secure coding practices, ai-assisted development tools

Summary: Candidates must have a Master's Degree in relevant fields or a Bachelor's Degree with 3 years of experience. An advanced level of English (C1) is required along with proficiency in various programming

Skills: coroutines, flows, async programming, di frameworks, git workflows, code reviews, agile, scrum, ci/cd pipelines, docker, cloud platforms, secure coding practices, ai-assisted development tools

Summary: Candidates should have 3+ years of experience building scalable data pipelines in a cloud-native environment and 2+ years of experience using dbt, Flink, or Spark for data transformations. Advanced pr

Skills: data pipelines, cloud-native environment, aws, gcp, azure, dbt, flink, spark, python, sql, apache kafka, apache flink, gcp datastream, aws kinesis, ci/cd pipelines, infrastructure-as-code, data quality

Summary: Candidates should have over 3 years of experience with SQL, Python, and dbt for data processing and modeling. Familiarity with data orchestration tools and strong communication skills are also require

Skills: sql, python, dbt, airbyte, dagster, data quality, agile, communication, bi tools, reverse etl, data governance, aws, machine learning, infrastructure-as-code, containerization

Summary: Candidates must have an active DoD Secret clearance and a Bachelor's degree in a relevant field. They should also have over 8 years of experience in data engineering and familiarity with cloud data te

Skills: data mining, statistical analysis, hypothesis testing, segmentation, modeling, predictive models, data technologies, google cloud, aws, microsoft azure, ms products, data engineering, data science, big data, data visualization, client communication

Summary: An advanced degree in a related field and 7+ years of experience in data science or machine learning are required. Candidates should have a deep understanding of machine learning algorithms and experi

Skills: data science, machine learning, ai, python, data visualization, statistical methods, model deployment, cloud data warehouses, mlops, kubernetes, tensorflow, pytorch, continuous improvement, mentoring, collaboration, communication

Summary: A degree in Engineering, Computer Science, or a related field is required. Candidates should have at least 1 year of experience in Python and data engineering projects.

Skills: python, kubernetes, airflow, gitlab, etl processes, cloud infrastructures, docker, data engineering, sql, data modeling, tableau, monitoring systems, automation tools, storage technologies, software engineering patterns, data analytics

Summary: Candidates should have 3–5 years of experience in QA/Test Automation and strong proficiency in Python, specifically with pytest and unittest. Familiarity with ETL/data validation testing and CI/CD pip

Skills: python testing, etl validation, test automation, ci/cd, qa documentation

Summary: Candidates should have over 8 years of software engineering experience with a focus on data systems. Strong SQL skills and proficiency in Python are essential, along with experience in scaling product

Skills: software engineering, data systems, sql, python, mysql, mongodb, clickhouse, elasticsearch, data migration, event-driven architecture, data quality, technical leadership, communication skills, troubleshooting, data governance, cloud infrastructure

Summary: A completed Bachelor’s Degree in Computer Science, Information Systems, Engineering or related discipline is required by the start date. U.S. Citizenship is required due to federal contract requiremen

Skills: java, javascript, typescript, go, python, node.js, react, angular, sql

Summary: Candidates must have mastery in an object-oriented programming language, preferably Java, and a modern scripting language, preferably Python. A bachelor's degree or equivalent in a related field is re

Skills: java, python, ruby on rails, spring mvc, node.js, sql, git, html, css, javascript, angularjs, reactjs, linux, ci/cd, microservices, restful web services

Summary: A Bachelor's degree in Data Science or a closely related discipline is required, along with 5 years of experience. Candidates must have 2-4 years of experience with MS SQL Server and SSIS, as well as

Skills: big data, data engineering, data modeling, data tools, structured query language (sql), microsoft data stack, python, etl, cloud services, data warehousing, agile, hadoop, spark, kafka, relational databases, nosql databases

Summary: Candidates should have over 6 years of software engineering experience, with at least 3 years focused on data engineering. Expertise in Snowflake, DBT, and AWS is essential, along with strong system d

Skills: data engineering, analytics, snowflake, aws, airflow, dbt, python, sql, data systems, data pipelines, data quality, machine learning, collaboration, technical leadership, system design, performance optimization

Summary: Candidates must have a Bachelor’s Degree in a related field and knowledge of the technical solution development process. Familiarity with SAP ERP and agile methodologies is preferred, along with stron

Skills: sap fiori, abap, agile, microsoft office, test driven development, analytical skills, technical troubleshooting, collaboration, problem solving, detail oriented, organized, communication, self-starter, ownership, functional requirements gathering, testing

Summary: A completed Bachelor’s Degree in Computer Science, Information Systems, Engineering or related discipline is required by the start date. U.S. Citizenship is required due to federal contract requiremen

Skills: java, javascript, typescript, go, python, node.js, react, angular, sql

Summary: Candidates should have a bachelor's degree in a related field and at least 2 years of experience in data engineering. Strong skills in Python and SQL, along with experience in data warehousing technol

Skills: python, sql, data warehousing, etl, elt, gcp, snowflake, dbt, data quality, data governance, ci/cd, collaboration, problem-solving, analytical skills, software engineering, infrastructure-as-code

Summary: Candidates should have 7+ years of hands-on data engineering experience and a graduate degree in a related field. Strong skills in SQL, data modeling, and proficiency in programming languages such as

Skills: data engineering, data pipelines, etl processes, data integration, sql, data modeling, python, golang, java, scala, apache spark, kafka, data governance, orchestration tools, cloud-based solutions, project management, communication

Summary: Bachelor’s degree in a related technical field and 5+ years of experience in data engineering or full-stack development are required. Strong SQL skills and proficiency in Python, Java, or Scala are es

Skills: data engineering, cloud architecture, genai, llm workflows, etl, elt, sql, python, java, scala, apache airflow, aws glue, aws, azure, gcp, data validation, leadership

Summary: Candidates should have 10+ years of experience in building and shipping production-grade data products, with strong proficiency in Python and Java. Experience in early-stage startup environments or hi

Skills: machine learning, data engineering, python, java, cloud platforms, data strategy, feature engineering, model production, stakeholder collaboration, technical leadership, analytical thinking, problem solving, data pipelines, apis, security best practices, mentorship

Summary: Candidates must have a Master’s Degree in a relevant field or a Bachelor’s Degree with 3 years of experience. Advanced English proficiency (C1 or above) and familiarity with various programming and de

Skills: kotlin, coroutines, flows, async programming, di frameworks, git workflows, code reviews, agile, scrum, ci/cd pipelines, docker, cloud platforms, secure coding practices, ai-assisted development tools

Summary: Candidates must have a Master’s Degree in relevant fields or a Bachelor’s Degree with 3 years of experience. Advanced English proficiency (C1) and familiarity with various programming and development

Skills: kotlin, coroutines, flows, async programming, di frameworks, git workflows, code reviews, agile, scrum, ci/cd pipelines, docker, cloud platforms, secure coding practices, ai-assisted development tools

Summary: Candidates should have a bachelor's degree in a relevant field and at least 2 years of experience in data platforms. Proficiency in Python and cloud technologies is essential.

Skills: data pipelines, python, cloud technologies, aws, gcp, azure, software engineering practices, ci/cd, infrastructure as code, terraform, code review, documentation, testing principles, communication skills, automation, domain mastery

Summary: Candidates must have a Master's Degree in a relevant field or a Bachelor's Degree with 3 years of experience. Advanced English proficiency (C1 or above) and strong knowledge of the JVM ecosystem are r

Skills: kotlin, ai, jvm ecosystem, java interoperability, android sdk, jetpack compose, mvvm, clean architecture, coroutines, flows, async programming, di frameworks, docker, cloud platforms, aws, azure, gcp

Summary: Candidates should have at least five years of experience in Typescript, along with experience in React and Node.js. Nice-to-haves include experience with GraphQL, front-end testing, and AWS services.

Skills: typescript, react, node.js, graphql, cypress, devops, aws, functional programming, attention to detail

Summary: A completed degree in computer science or relevant work experience as a developer is required. You should have an affinity for digital processes, artificial intelligence, and automation.

Skills: low-code automation, digital processes, artificial intelligence, problem solving, technical understanding, communication, user support, error analysis, saas applications, video creation, automation tools, javascript, python, n8n, make.com, zapier

Summary: Candidates should have a Bachelor’s or Master’s degree in a quantitative field and 4 to 5+ years of related experience in data science. Advanced skills in Python, SQL, and ML model evaluation are esse

Skills: data science, machine learning, python, pandas, scikit-learn, pyspark, sql, nlp, mlops, prompt engineering, agentic ai, model deployment, recommendation systems, bias testing, cross-functional collaboration, agile project management

Summary: 5–7 years of experience in data science, applied machine learning, or advanced analytics is required. Strong skills in Python and SQL, with experience in developing forecasting, classification, or sco

Skills: data science, machine learning, python, sql, predictive modeling, data engineering, analytics, forecasting, classification, scoring models, communication skills, modern data workflows, snowflake, dbt, hex, streamlit

Summary: Candidates should possess 7+ years of experience in data science, machine learning, or related roles, with 4+ years of professional experience in Python and major AI/ML frameworks. A Bachelor's or Mas

Skills: data science, machine learning, ai engineering, python, large language models, generative ai, cloud-native ai services, nlp, computer vision, model development, data analysis, feature engineering, model training, testing, deployment, collaboration

Summary: A bachelor's degree in a relevant field is required, along with a basic understanding of statistical analysis and machine learning techniques. Familiarity with programming languages such as Python or

Skills: data analysis, machine learning, data visualization, python, r, sql, statistical analysis, problem-solving, communication, collaboration, creativity, attention to detail

Summary: The role requires over 5 years of product development experience with a strong proficiency in TypeScript. Familiarity with mobile (React Native) and web (React/Next) development is essential, along wi

Skills: typescript, react native, react, next, api integration, mobile development, web development, quality assurance, devops, ai, mentoring, product management, user experience, accessibility, performance optimization, collaboration

Summary: A minimum of 60 college-credit hours completed is required, along with U.S. Citizenship due to federal contract requirements. Preferred qualifications include experience with Python, Azure, and large

Skills: python, azure, large language models, git, github, shell scripting, bash, powershell, linux, containers, streamlit, interpersonal skills, communication, math

Summary: Bachelor's degree and at least 4 years of experience in software engineering are required. Candidates should have experience with cloud computing and programming languages such as Java, Python, C++, R

Skills: software engineering, data security, cloud computing, java, python, c++, rust, go, sql, rdbms, nosql, docker, kubernetes, data governance, ai systems, agile practices

Summary: The ideal candidate should have hands-on experience with data governance and proficiency in Python and SQL. A strong sense of accountability for customer data privacy and the ability to translate gove

Skills: data governance, metadata frameworks, python, sql, relational schema design, access control, aws, data infrastructure, data quality, apis, automation, compliance, privacy, data catalog, data privacy, ai

Summary: Candidates should have a bachelor's degree in a related field and 5-7+ years of experience in data engineering. Expertise in SQL and Python, along with strong experience in AWS data products, is essen

Skills: data engineering, etl pipelines, sql, python, aws, data modeling, schema design, data governance, automation, cloud platforms, mentoring, communication, problem solving, critical thinking, data analysis, data integrity

Summary: Candidates must have a mastery of an object-oriented programming language, preferably Java, and at least 5-7 years of relevant work experience. A bachelor's degree in computer science, data engineerin

Skills: software engineering, data engineering, cloud infrastructure, data modeling, etl processes, sql, project management, leadership, communication, troubleshooting, problem solving, collaboration, mentoring, agile methodologies, automation, best practices

Summary: Candidates must have a bachelor's degree with at least 2 years of experience in data engineering and database management. Proficiency in SQL and experience with data pipelines and ETL tools are requir

Skills: data engineering, sql, database management, data pipelines, etl, cloud solutions, data warehousing, data quality, data security, agile methodologies, collaboration, problem-solving, automation, data architecture, infrastructure as code, scripting

Summary: Candidates should have a Bachelor's Degree in a relevant field and 2-3 years of industry experience, with a strong understanding of ETL processing and proficiency in SQL Server Integration Services. F

Skills: software development, etl processing, sql server integration services, continuous integration, unit testing, agile, sql, data analysis, data interpretation, communication skills, critical thinking, attention to detail, resilience, curiosity, optimization, tuning

Summary: Candidates should have a Bachelor's Degree in a related field and 2-3 years of industry experience, with strong proficiency in RPG and knowledge of DB2 and SQL Server. Familiarity with Agile methodolo

Skills: software development, rpg, db2, sql server, agile, scrum, unit testing, continuous integration, data analysis, critical thinking, attention to detail, communication skills, mentoring, problem solving, data interpretation, learning agility

Summary: Candidates should have a Master's or Ph.D. degree in a relevant field and a minimum of 8-10+ years of experience in the technology industry. Proven experience in drug discovery, data automation, and l

Skills: developer advocacy, technical expertise, commercial go-to-market experience, life science data platforms, high-performance computing, cloud, ai/ml, laboratory informatics, technical partnerships, problem solving, technical enablement, integration, collaboration, interpersonal skills, technical mentorship, community building

Summary: Candidates must have a bachelor's degree in Computer Science or a related discipline and a minimum of five years of experience in software design and development. Expertise in secure development pract

Skills: c#, .net, sql, git, api development, secure coding, agile methodologies, cloud technologies, ci/cd, test driven development, data modeling, system architecture, javascript, python, automation, collaboration

Summary: Candidates should have 3+ years of experience for the Data Engineer role or 8+ years for the Senior Data Engineer role in cloud-based data engineering. Proficiency in SQL and Python, along with knowle

Skills: data engineering, cloud-based solutions, bigquery, etl processes, sql, python, data modeling, data warehousing, agile frameworks, problem-solving, data quality, collaboration, technical guidance, data governance, workflow automation, scalability

Summary: Candidates should possess 4+ years of experience in cloud-based data engineering for Data Engineer and 7+ years for Senior Data Engineer, with strong skills in SQL, Python, and optionally Scala. A Bac

Skills: data engineering, ai, ml, cloud-based solutions, sql, python, scala, etl processes, data warehousing, big data architecture, agile frameworks, data modeling, infrastructure-as-code, data integrity, problem-solving, communication

Summary: Candidates should have 3+ years of experience with Google BigQuery for Data Engineer and 5+ additional years for Senior Data Engineer. Proficiency in SQL, Python, and experience with cloud-native serv

Skills: data engineering, gcp, bigquery, etl, sql, python, terraform, kubernetes, looker, data modeling, cloud services, ci/cd, version control, data lake, automation, problem solving

Summary: Candidates should have a bachelor's degree and over 5 years of experience in data analytics or engineering, preferably in a SaaS environment. Proficiency in SQL and experience with Databricks and Pyth

Skills: data engineering, sql, python, databricks, snowflake, data modeling, documentation, version control, excel, google sheets, data visualization, looker, strategic thinking, project management, automation, agile

Summary: Candidates should have 5+ years of experience as a Software Engineer or SDET, with proficiency in various coding languages and experience in designing test frameworks. Familiarity with Docker, Kuberne

Skills: software development, test automation, docker, kubernetes, aws, coding, test frameworks, frontend development, backend development, performance bottlenecks, system behavior, communication skills, data intensive applications, quality software, bug detection

Summary: Candidates should have 5+ years of experience as a Software Engineer or SDET, with hands-on experience in Docker, Kubernetes, and AWS. Proficiency in coding and designing test frameworks is essential,

Skills: software development, test automation, docker, kubernetes, aws, coding, test frameworks, frontend testing, backend testing, performance bottlenecks, system behavior, communication skills, data intensive applications, bug detection, collaboration

Summary: 3+ years of professional experience as a Data Engineer in cloud environments is required. Strong experience with AWS services and big data architectures is essential.

Skills: data engineering, aws, python, apache spark, kinesis, airflow, terraform, data governance, ci/cd, data pipelines, big data, real-time data streaming, containerization, infrastructure as code, monitoring, collaboration

Summary: Candidates should have 3-6 years of professional software engineering experience with a strong portfolio in full stack development. Proficiency in Python and cloud experience, particularly with AWS, a

Skills: python, full stack development, aws, restful apis, sql server, snowflake, mongodb, debugging, issue resolution, troubleshooting, ux design tools, containerization, infrastructure as code, cicd tools, financial systems, credit modeling

Summary: Candidates should have 7+ years of experience in Data Science/Analytics and strong proficiency in data manipulation and visualization tools. A bachelor's or advanced degree in a quantitative disciplin

Skills: data science, analytics, stakeholder management, communication, problem solving, data manipulation, sql, python, data visualization, tableau, a/b testing, causal inference, machine learning, quantitative analysis, experimentation, leadership

Summary: Candidates should have 6+ years of experience in data science or machine learning, with expertise in time-series data and deep learning frameworks. Proficiency in Python and SQL, along with a strong u

Skills: data science, machine learning, python, sql, deep learning, aws, signal processing, causal inference, experimental design, time-series data, algorithm development, mentoring, data wrangling, model deployment, embedded systems, biomechanics

Summary: Candidates should have 6+ years of experience in data science or machine learning, with expertise in time-series data and deep learning frameworks. Proficiency in Python and SQL, along with a strong u

Skills: data science, machine learning, python, sql, deep learning, aws, time-series data, signal processing, causal inference, algorithm development, mentoring, data wrangling, experimental design, mlops, embedded systems, biomechanics

Summary: Candidates should have 6+ years of experience in data science or machine learning, with expertise in time-series data and proficiency in Python and SQL. Familiarity with deep learning frameworks and c

Skills: data science, machine learning, python, sql, deep learning, aws, time-series data, signal processing, causal inference, experimental design, mentoring, algorithm development, mlops, wearable technology, biometrics, kinesiology

Summary: Candidates should have strong experience in product analytics or a similar data-focused role, with expertise in translating complex data into actionable insights. A degree in a related analytical fiel

Skills: product analytics, data analysis, sql, a/b testing, machine learning, statistical analysis, r, python, sas, cohort analysis, time series analysis, funnel analysis, data-driven decision making, communication skills, exploratory analysis, product strategy

Summary: Candidates should have proven experience with data protection technologies and managing data protection programs. A strong understanding of cybersecurity laws and regulations, along with relevant cert

Skills: data protection, cybersecurity, risk assessment, data encryption, data classification, data handling, data access controls, data inventory, data retention, incident response, data privacy laws, programming languages, cloud services, data loss prevention, data security policies, analytical skills, communication skills

Summary: Candidates must have 2 years of professional experience in full stack software development and 1 year of experience with JavaScript/TypeScript and a modern front-end framework. Additionally, experienc

Skills: full stack development, javascript, typescript, react, angular, vue, node.js, python, java, .net, restful apis, generative ai, cloud platforms, ai evaluation, agile, continuous integration, continuous delivery

Summary: 5+ years of professional experience in data engineering, ideally in the insurance or financial services sector. Proficiency in Python, SQL, and Spark, with hands-on experience in Databricks and AWS da

Skills: python, sql, spark, databricks, unity catalog, delta lake, dlt pipelines, data governance, data quality, aws, github, ci/cd, mentoring, problem-solving, cloud services, data architecture

Summary: Candidates must be U.S. Citizens with the ability to obtain a DoD Secret security clearance and have a minimum of 4 years of experience in software development. Experience with cloud environments, Jav

Skills: software development, cloud computing, devsecops, containerization, javascript, react, apis, node.js, python, microsoft azure, aws, database integration, m365 sharepoint online, dataverse, user interface design, systems integration

Summary: Candidates should have software development experience, including expertise in multiple programming languages and technologies. A bachelor's degree in computer science and 10-12+ years of professional

Skills: software development, troubleshooting, log analysis, performance tuning, container infrastructure, linux configuration, public key infrastructure, javascript, html, css, react, microservices, unit testing, security analysis, analytical skills, communication skills

Summary: Candidates should have 5-7 years of relevant experience and a post-secondary degree in a related field. Proficiency in Java and knowledge of Identity Access Management platforms are essential.

Skills: backend development, rest api development, identity access management, security application, java, javascript, http, ajax, json, devops, cloud development, algorithms, data structures, software testing, technical specifications, collaboration

Summary: Candidates should have over 5 years of experience in building and maintaining ETL pipelines and a strong background in SQL and Python. A bachelor's degree in a relevant field is required.

Skills: data engineering, etl pipelines, sql development, python development, data transformation, data access patterns, data modelling, data serialization, json-based storage, communication skills, monitoring strategies, incident response, data optimization, machine learning, data frameworks, data tools

Summary: Bachelor’s or Master’s degree in Computer Science or related field with significant experience is required. Candidates should have 10+ years of hands-on full-stack software development experience.

Skills: javascript, css, html, json, rest web services, backbone, webpack, node.js, nginx, redis db, linux, automated unit testing, manual testing, agile software workflows, git, docker, aws

Summary: Candidates must possess a BS degree in Computer Science or related field with 3+ years of experience, or a Master's degree with 2+ years of experience. Proficiency in Python, Spark, and R is essential

Skills: databricks, data engineering, azure, etl, ai technologies, python, spark, r, data governance, agile, ci/cd, infrastructure-as-code, data quality, data management, cost optimization, data analytics

Summary: Candidates should have 1 to 4 years of experience in data engineering or analytics engineering, with strong SQL and Python skills. Familiarity with cloud data warehouses and tools like dbt is essentia

Skills: data engineering, sql, python, cloud data warehouses, dbt, airflow, data modeling, healthcare data, git, looker, data pipelines, data integrity, data transformation, collaboration, problem solving, communication

Summary: A Bachelor's or Master's degree in Computer Science or equivalent experience is required, along with 5+ years of software development experience. Strong proficiency in modern programming languages and

Skills: cloud computing, full-stack development, typescript, react, node.js, python, ci/cd, git, automation, monitoring, api design, infrastructure, documentation, problem-solving, communication, teamwork

Summary: Candidates must have 7+ years of experience in Java development with a focus on AWS, ETL, and database development. A bachelor's degree in Computer Science or a related field is required, along with s

Skills: java, aws, etl, database development, sql, python, data pipelines, data quality, agile, problem solving, collaboration, data warehousing, data modeling, data governance, devops, cloud computing

Summary: Candidates should have 5-7 years of relevant experience and a post-secondary degree in a related field. Proficiency in Java and knowledge of software development practices and Identity Access Manageme

Skills: backend development, rest api development, identity access management, security application, java, javascript, http, ajax, json, devops, cloud development, ibm isam, active directory, kerberos, oop, data structures

Summary: B.S. degree in Computer Science or a related technical field and 5+ years of experience as a Software Engineer or Data Engineer. Proficiency in programming languages and hands-on experience with big d

Skills: software engineering, data engineering, distributed systems, big data technologies, sql, data tooling, ci/cd, containerization, cloud infrastructure, python, java, scala, testing, debugging, performance optimization, data processing, data storage

Summary: The role requires professional experience with multiple key technologies, particularly Python, and a history of designing impactful applications. Understanding the latest web development tools and tec

Skills: python, django, html/css, javascript, terraform, aws, docker, postgres, redis, github actions, git, vba, c#, r

Summary: You should have a track record of delivering scalable service components and experience with Python. Familiarity with public cloud concepts, especially GCP, and a proactive mindset for continuous impr

Skills: python, api development, data pipelines, microservices, data dashboards, data models, etl pipelines, public cloud, gcp, bigquery, bigtable, pub/sub, infrastructure as code, containerization, data governance, testing practices

Summary: Candidates should have 3-5 years of experience with .NET Core, Angular, C#, and TypeScript, along with 1-2 years of experience with cloud platforms, preferably Microsoft Azure. Experience in a healthc

Skills: full stack development, .net core, angular, c#, typescript, restful apis, cloud-based architecture, azure, data analysis, model training, performance optimization, cross-functional collaboration, technical documentation, communication skills, healthcare experience, production deployment

Summary: Candidates must have a Bachelor’s degree in Computer Science, Engineering, or a related field, along with 4+ years of experience in relevant technologies. US citizenship is required due to government

Skills: java, spring boot, angular, .net, ci/cd, azure cloud, gitlab, test-driven development, agile, software development, enterprise applications, code quality, data structures, public trust, cross-functional teams, software solutions

Summary: Candidates must have a Bachelor’s degree in Computer Science, Engineering, or a related field, along with 4+ years of experience in relevant technologies. US citizenship is required due to government

Skills: java, spring boot, angular, .net, ci/cd, azure cloud, gitlab, agile, test-driven development, software engineering, enterprise applications, public trust, cross-functional teams, code quality, data structures, software solutions

Summary: Strong SQL skills on multiple platforms and some scripting language experience, preferably Python, are required. Candidates should have strong data engineering experience and familiarity with analytic

Skills: sql, mssql, mysql, postgres, spark, python, data engineering, power bi, tableau, qlik, power platform, data warehousing, azure, databricks, snowflake

Summary: A completed degree in computer science or relevant work experience as a developer is required. You should have an affinity for digital processes, artificial intelligence, and automation.

Skills: low-code automation, digital processes, artificial intelligence, problem solving, technical understanding, communication, user support, error analysis, saas applications, video creation, automation tools, javascript, python, n8n, make.com, zapier

Summary: Candidates should have a degree in a quantitative field and over 5 years of experience in data science or analytics. A strong understanding of machine learning methods and experience with large datase

Skills: data analysis, machine learning, python, pyspark, sql, aws, azure, databricks, data storytelling, communication, identity verification, fraud prevention, dashboarding, interactive presentations, thought leadership, model building

Summary: A Master's degree in a quantitative discipline with two years of experience, or a Bachelor's degree with five years of experience is required. Special skills in various programming languages and data

Skills: python, sql, spark, scikit-learn, causal inference, natural language processing, tensorflow, pytorch, a/b test, data visualization

Summary: Candidates should have a bachelor's degree in computer science or a related field and possess deep knowledge of RESTful API design. Proficiency in SQL, scripting languages, and experience with automat

Skills: machine learning, artificial intelligence, data science, restful api, sql, django, angular, bash, python, powershell, ansible, puppet, chef, terraform, docker, kubernetes

Summary: Candidates should have at least 3 years of relevant experience in the data field and a completed HBO degree. Strong knowledge of SQL, experience with data pipelines in Python, and familiarity with clo

Skills: data engineering, sql, python, data pipelines, data orchestration, aws, cloud platforms, data modeling, docker, ci/cd, terraform, kafka, analytical skills, communication skills, data quality, performance

Summary: A B.Sc. in Computer Science or related field is preferred, with 2-4 years of experience in data or software engineering. Solid programming skills in Python, Java, or Scala are required, along with han

Skills: data engineering, data pipelines, python, java, scala, etl, elt, schema management, data modeling, streaming, batch frameworks, ci/cd, version control, testing practices, observability, logging, metrics

Summary: Candidates should be pursuing a bachelor's degree in a relevant field and have basic familiarity with Python, SQL, and visualization tools. Strong attention to detail and the ability to learn new tech

Skills: python, scala, sql, data analytics, business intelligence, data visualization, airflow, gcp composer, bigquery, linux, bash, spark, statistical concepts, geospatial analysis, collaboration, attention to detail

Summary: Candidates must have 5+ years of full-stack development experience and hands-on experience with Elasticsearch. Knowledge of accessibility standards and experience with AWS cloud services are also requ

Skills: full-stack development, elasticsearch, aws cloud services, node.js, python, rest apis, react, javascript, responsive design, accessibility standards, website modernization, agile, collaboration, devops, user experience, public trust clearance

Summary: Candidates must have over 5 years of full-stack development experience and hands-on experience with Elasticsearch. A strong background in AWS services and front-end technologies like React is also req

Skills: full-stack development, elasticsearch, aws cloud services, node.js, python, rest apis, react, javascript, responsive design, accessibility standards, website modernization, collaboration, agile environment, devops, user experience, public trust clearance

Summary: B.S degree in Computer Science or a related field with 5+ years of experience in Software Engineering or Data Engineering roles. Experience with Python, Spark, Java, Scala, Big Data Technologies, SQL,

Skills: python, spark, java, scala, big data technologies, sql, etl tools, dbt, streaming tools, kafka, kinesis

Summary: Candidates should have a B.S. degree in Computer Science or a related field and at least 5 years of experience in Software Engineering or Data Engineering roles. Proficiency in programming languages s

Skills: python, spark, java, scala, big data technologies, sql, etl tools, dbt, streaming tools, kafka, kinesis

Summary: You have 1.5+ years of experience as a software engineer and are proficient in Python or Kotlin. You are familiar with distributed systems and technologies like AWS, MySQL, and Kubernetes.

Skills: python, kotlin, aws, mysql, kubernetes, distributed systems, backend systems, code reviews, debugging, risk analysis, fraud detection, merchant identification, technical constraints, collaboration, metrics monitoring, on-call support

Summary: Candidates should have a Bachelor's degree or equivalent experience with 5+ years in data engineering or related roles. Strong experience with AWS and ETL tools, proficiency in Python/PySpark, and kno

Skills: data engineering, etl, aws, python, pyspark, cloud technologies, data modeling, data processing, snowflake, ci/cd, agile, database security, problem solving, analytical skills, communication skills

Summary: Candidates should have 5+ years of experience in data engineering and strong proficiency in Python and SQL. Familiarity with modern data platforms and hands-on experience with tools like Spark and Air

Skills: python, sql, etl, data engineering, data quality, data governance, data security, data integration, spark, pyspark, airflow, docker, git, databricks, microsoft azure, delta lake

Summary: You should have experience designing and launching backend systems at scale, with proficiency in Python or Kotlin. Familiarity with distributed systems and technologies like AWS, MySQL, and Kubernetes

Skills: backend systems, python, kotlin, distributed systems, aws, mysql, kubernetes, code reviews, debugging, risk analysis, fraud detection, merchant identification, data pipelines, software components, extensible code, growth activities

Summary: Candidates should have 6+ years of experience in web application development and 5+ years with Vue.js. A Bachelor's degree in Computer Science or related field is preferred, along with strong communic

Skills: full stack development, web applications, html, css, javascript, vue.js, fastapi, python, aws, system architecture, technical leadership, mentorship, emerging technologies, knowledge transfer, collaboration, load-balanced systems

Summary: Candidates should have 7+ years of experience in data engineering or a similar role, with expertise in SQL Server, Tableau, R, and Python. A bachelor's degree or equivalent experience is required, and

Skills: data engineering, sql server, postgresql, tableau, r, python, dataiku, predictive analysis, data administration, data warehousing, star schemas, visualization techniques, problem-solving, analytical skills, attention to detail, communication skills, collaboration skills

Summary: Candidates should have over 6 years of software development experience with a strong background in RESTful API design. Leadership skills and a proven ability to mentor a development team are essential

Skills: python 3, react, react native, flask, sqlalchemy, postgresql, redis, aws, github, docker, circleci, slack, notion, elastic stack, agile methodologies, restful api design

Summary: Candidates should have over 7 years of software engineering experience, including at least 1 year in a management role. Strong back-end development skills and experience in managing high-performing te

Skills: software engineering, leadership, back end development, risk analysis, fraud detection, cross-team communication, collaboration, system performance, product management, data enrichment, merchant identification, code quality, design improvement, availability, reliability, consumer scale products

Summary: An active Top Secret Clearance is required along with a minimum of 8 years of relevant experience. A Bachelor's Degree is required, and professionalism in representing OUSD P&R is essential.

Skills: ui/ux design, html, css, javascript, asp.net, c#, java, react, angular, vue, sitecore, ai integration, troubleshooting, mentorship, collaboration, communication

Summary: Candidates should have at least 8 years of experience in data engineering and 2 years managing teams. Strong familiarity with cloud environments and expertise in Python and SQL are essential.

Skills: data engineering, machine learning, cloud infrastructure, data quality, data pipelines, team leadership, collaboration, python, sql, terraform, big data, data analytics, data governance, distributed computing, sagemaker, kafka

Summary: An advanced degree in a quantitative field is required along with 3+ years of experience building ML/NLP models. Proficiency in Python and hands-on experience with LLMs and frameworks like PyTorch or

Skills: data science, ai innovation, nlp, llm, python, pytorch, tensorflow, langchain, rag, fine-tuning, aws, machine learning, bias detection, ml pipelines, transformers, self-attention

Summary: Candidates must have 3+ years of hands-on experience in machine learning and a bachelor's degree or higher in a related field. They should possess excellent knowledge of advanced methods, experience w

Skills: machine learning, artificial intelligence, statistical data analytics, data analysis, large language models, software development, rapid prototyping, gcp, aws, health care data analytics, r, python, data mining algorithms, mathematical modeling, communication skills, problem solving

Summary: Candidates should have 10+ years of professional experience in data science or analytics, with at least 3 years in a leadership role focused on marketing analytics. Deep expertise in marketing attribu

Skills: data science, analytics, marketing attribution, customer lifetime value, cohort analysis, marketing performance optimization, python, sql, r, bayesian hierarchical modeling, ridge regression, statistical modeling, leadership, mentoring, communication, business acumen

Summary: Candidates should have 10+ years of experience in data science or analytics, with at least 3 years in a leadership role. Deep expertise in experimental design and a proven track record of building exp

Skills: data science, analytics, python, sql, statistical modeling, a/b testing, causal inference, user behavior modeling, funnel analysis, cohort analysis, product engagement metrics, mentoring, experiment design, statistical rigor, communication skills, experimentation techniques

Summary: Candidates must have a university degree or equivalent experience with a minimum of 5 years of relevant experience. Proficiency in the software development cycle and experience with ASP.NET, C#, and M

Skills: full stack development, asp.net, c#, microsoft sql server, jquery, javascript, html, css, angular, bootstrap, agile development, cloud software solutions, database management, software development, troubleshooting, team collaboration

Summary: Bachelor’s degree or equivalent experience in computer science or engineering, with at least 8 years of relevant experience in data center technologies. Strong technical expertise in cloud environment

Skills: technical training, ai solutions, hpc, linux server administration, containerized ai workloads, networking protocols, cloud environments, kubernetes, docker, slurm, git, python, aws, azure, gcp, nvidia technologies

Summary: Candidates should have over 6 years of experience in building production web applications and at least 3 years in cloud-native development. Strong proficiency in backend technologies and experience wi

Skills: cloud-native development, c#/.net, typescript, node.js, sql, nosql, react, apis, infrastructure as code, ci/cd, agile, ai integration, mentoring, problem solving, distributed systems, web frameworks

Summary: Candidates should have a Bachelor’s or Master’s degree in a related field and at least 10 years of engineering experience, including 3 years of direct people management. Preferred qualifications inclu

Skills: data engineering, data platforms, ingestion frameworks, transformation tools, serving layers, leadership, team building, operational processes, metrics, analytics, ai/ml, security, governance, compliance, problem-solving, cost transparency

Summary: Candidates should have a BSc in Computer Science or equivalent experience, with at least 6 years in software engineering. Proficiency in mobile app development and experience with drone flight control

Skills: software development, data ingest pipelines, mobile app development, drone flight control, rest apis, cloud-based infrastructure, geospatial data, mapping, image analysis, react native, typescript, kotlin, blockchain, ci/cd pipelines, problem-solving, continuous learning

Summary: Candidates should have 3+ years of B2B product marketing experience and a background in engaging developer audiences. A passion for teamwork and data-informed decision-making is essential.

Skills: product marketing, b2b marketing, developer tools, event strategy, storytelling, content creation, technical content, teamwork, relationship building, data-informed decisions, customer engagement, marketing alignment, community engagement, presentation skills, demo scripting, use case highlighting

Summary: Candidates must have a Bachelor's degree in Computer Science, Engineering, or a related field, along with experience in full stack development using specified technologies. Experience with SAFe Agile

Skills: full stack development, c#, angular, spring boot, java, sql, safe agile, agile/scrum, version control, git, jira, software design patterns, devops, ci/cd, cloud platforms, problem-solving

Summary: A Bachelor's degree in a quantitative or business field is required, along with 0-2 years of related experience. Technical skills in data analysis, cloud computing, and programming languages such as P

Skills: data analysis, data collection, data quality, data validation, qa testing tools, cloud applications, cloud computing, big data, data manipulation, data mining, python, tableau, c#, java, javascript, sql

Summary: Candidates must have a university degree or equivalent experience with a minimum of 5 years in software development. Experience with ASP.NET, C#, and full stack development is essential, along with U.

Skills: full stack development, asp.net, c#, microsoft sql server, jquery, javascript, html, linq, css, angular 18, bootstrap, agile development, aws, database management, software development, troubleshooting

Summary: Candidates should have 6+ years of experience with a Bachelor's Degree or 4+ years with a Master's Degree. Experience in SAP BRIM, particularly in Convergent Invoicing and FI-CA, is essential.

Skills: software development, sap billing, revenue innovation management, convergent invoicing, fi-ca, project implementation, technical support, documentation, data processing, billing, invoicing, root cause analysis, compliance, cross-functional collaboration, training, system design

Summary: A Bachelor’s degree in computer science or a related field is required, with an advanced degree preferred. Candidates should have 5+ years of experience in software development using C++ and a strong

Skills: c++, object-oriented programming, 3d applications, 3d math aptitude, communication skills, documentation skills, interactive applications, qt, vtk, software engineering tools, jira, github, uml, visual studio, cmake

Summary: Candidates should have a degree in Computer Science or a related field, along with 5+ years of experience in data engineering or software development. Advanced knowledge of software engineering concep

Skills: data engineering, software development, cloud computing, azure, sql, python, devsecops, collaboration, client-centric solutions, continuous improvement, security standards, scalability, performance optimization, data analytics, solution design, technical leadership

Summary: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent experience is required. Candidates should have 5–10 years of software development experience with prof

Skills: c#, .net, restful apis, cloud services, azure, microservices architecture, ci/cd pipelines, infrastructure as code, sql databases, document databases, problem-solving, agile methodologies, asp.net mvc, .net core, typescript, angular, react

Summary: Candidates must have a Bachelor's or Master's degree in Computer Science or a related field, with at least 10 years of software development experience. A minimum of 3 years in a senior technical role

Skills: c#, .net, cloud services, microservices, api development, enterprise software architecture, ci/cd pipelines, infrastructure as code, sql, document dbs, problem solving, agile methodologies, mentoring, security practices, technical documentation, innovation

Summary: Candidates should have 5+ years of experience in software infrastructure or DevOps engineering and strong programming skills in Python and a systems-level language. Familiarity with CI/CD systems and

Skills: software infrastructure, developer productivity, devops engineering, python, c++, rust, ci/cd systems, github actions, argo, cloud infrastructure, gcp, metrics, monitoring tools, grafana, prometheus, communication skills, collaboration skills

Summary: Candidates should have extensive experience with the full Elasticsearch stack and proficiency in multiple programming languages. Experience with machine learning and collaboration with data science te

Skills: elasticsearch, kibana, linux, python, react, c, docker, data science, advanced analytics, machine learning, llms, data engineering, apis, microservices, data visualization, database management

Summary: Candidates should have a minimum of 7-10 years of experience in software development with proficiency in multiple programming languages. A bachelor's degree in computer science or a related field is r

Skills: agile application development, enterprise data management, enterprise architecture, program management, software development, java, c#, python, javascript, cloud computing, devops, ci/cd, docker, kubernetes, software architecture, design patterns

Summary: Candidates must have a degree in a relevant field and at least 5 years of data engineering experience. Proficiency in SQL, ETL/BI development, and experience with cloud platforms are essential.

Skills: sql, etl, bi development, data engineering, ci/cd, orchestration tools, python, cloud platforms, gcp, bigquery, aws, azure, cube technologies, atscale, ssas, ssis, communication skills

Summary: Candidates should have a strong understanding of statistical concepts and experience in exploratory analysis. A proven track record of owning complex data projects and proficiency in SQL and Python is

Skills: data storytelling, statistical analysis, machine learning, sql, python, data visualization, causal inference, exploratory analysis, mentorship, ai tools, big data, cloud environment, predictive analytics, experimental design, optimization, data engineering

Summary: Candidates must have a Bachelor's degree in Engineering or a related field, with 5+ years of experience or a Master's degree with 3 years of experience. U.S. citizenship is required due to the nature

Skills: deep learning, mlops, machine learning, data wrangling, statistical methods, python, linux, git, docker, kubernetes, postgresql, mysql, data preparation, experimental design, communication skills, model optimization

Summary: A Bachelor's degree in a relevant field with 2+ years of experience or a Master's degree with 0-1 years of experience is required. Candidates should have experience with Python programming and a worki

Skills: python, sql, machine learning, data visualization, statistical analysis, data preprocessing, problem solving, communication, attention to detail, data quality, aws, scikit-learn, pandas, numpy, tensorflow, matplotlib

Summary: 10+ years of experience in data science and predictive analytics is required. Expertise in Python, R, SQL, and hands-on experience with Snowflake and Tableau is essential.

Skills: data science, predictive analytics, ai, python, r, sql, snowflake, data lake, tableau, business processes, revenue forecasting, customer success, data governance, machine learning, data visualization, communication skills