Data Developer Jobs with Equity ≥ 3%

Summary: Candidates must have a Bachelor’s degree in a relevant field and at least 4 years of experience in technical support or related areas. Experience with public cloud platforms and data security is also required.

Skills: technical support, systems administration, software engineering, solutions architecture, infrastructure architecture, database architecture, data security, public cloud, containerization, orchestration, scripting, automation, monitoring, networking, data tokenization, encryption

Summary: 7+ years of full-time experience in AI/ML, Data, or Full Stack Software Engineering is required. Strong background in software engineering, AI/ML/NLP engineering, and data analytics/engineering is essential.

Skills: python, sql, postgresql, pytorch, ai, ml, nlp, data engineering, data analytics, cloud computing, gcp, bigquery, dbt, pandas, healthcare, compliance

Summary: 7+ years of full-time experience in AI/ML, Data, or Full Stack Software Engineering with data-intensive systems is required. Strong background in software engineering, AI/ML/NLP engineering, and data analytics/engineering is essential.

Skills: python, sql, postgresql, pytorch, ai, ml, nlp, data engineering, data analytics, cloud computing, gcp, bigquery, dbt, pandas, healthcare, compliance

Summary: Candidates should have 2+ years of software engineering experience and be proficient in object-oriented programming languages. Experience with cloud services and modern cloud-based infrastructure is also required.

Skills: software engineering, python, scala, go, java, cloud services, airflow, kubernetes, ci/cd, spark, flink, data quality, data governance, automation, data analytics, incident management

Summary: Candidates must have a Bachelor's degree in a relevant field and 5-8 years of experience in beauty or skincare product development. Strong technical understanding of formulation principles and experience managing cross-functional teams are essential.

Skills: product development, innovation, consumer insights, formulation, regulatory compliance, project management, cross-functional collaboration, quality assurance, data-driven decision making, cost optimization, packaging, testing, market analysis, lifecycle management, vendor management, technical understanding

Summary: Candidates must have a Bachelor's degree in a relevant field and 5-8 years of experience in beauty or skincare product development. Strong technical understanding of formulation principles and regulatory requirements is essential.

Skills: product development, innovation, consumer insights, formulation, regulatory compliance, project management, cross-functional collaboration, quality assurance, market analysis, cost optimization, packaging, testing, data-driven decision making, lifecycle management, vendor management, entrepreneurial mindset

Summary: Candidates should have 5+ years of professional Frontend Development experience with a strong foundation in Vanilla JavaScript and proficiency in React and/or Vue.js. Attention to detail in UI design and experience with performance debugging and optimization are essential.

Skills: frontend development, javascript, react, vue.js, typescript, redux, scss, webpack, performance debugging, ui design, collaboration, code reviews, system design, clean code, optimization, attention to detail

Summary: Candidates must have 5+ years of professional Frontend Development experience with a strong foundation in Vanilla JavaScript and proficiency in React and/or Vue.js. Attention to detail in UI design and experience with performance debugging and optimization are also required.

Skills: frontend development, javascript, react, vue.js, typescript, redux, scss, webpack, performance debugging, ui design, collaboration, code reviews, system design, clean code, optimization, attention to detail

Summary: full-stack role building and maintaining a saas product with php/laravel backend and modern frontend; requires strong js, react, tailwind, and sql integration; strong problem solving and collaboration.

Skills: react, tailwind, sql

Summary: Strong front-end expertise in React and solid backend experience with Node.js and .NET Core are required. Familiarity with MACH enterprise architecture and various databases is preferred.

Skills: react, zustand, material ui, tanstack query, node.js, express, fastify, .net core, rest api, mongo, mssql, ci/cd, azure, oauth, headless cms, git, terraform

Summary: Candidates should have 3-5 years of front-end or UI development experience, ideally in product development or AI applications. Proficiency in JavaScript, HTML5, CSS3, and experience with modern frameworks like React is essential.

Skills: javascript, html5, css3, react, typescript, redux, restful apis, graphql, d3.js, git, webpack, vite, jira, confluence, figma

Summary: Candidates must have a bachelor's degree or equivalent and at least 7 years of software development experience, particularly in Java, Go, or Python. A solid understanding of networking concepts and DevOps experience is also required.

Skills: java, go, python, spring boot, spring cloud, django, flask, fastapi, vue.js, react, javascript, aws, terraform, ansible, kubernetes, docker, devsecops

Summary: Bachelor’s Degree with 8 years of professional software development experience is required, with a strong emphasis on full-stack delivery. Candidates must have deep expertise in C# and .NET, as well as strong mastery of Vue.js and modern front-end engineering practices.

Skills: c#, .net, asp.net, vue.js, typescript, sql server, restful apis, openapi, security compliance, sdlc, technical leadership, systems thinking, performance optimization, relational databases, secure coding, mentoring

Summary: Professional experience in software/system design, development, and maintenance with a strong focus on systems software is required. The ideal candidate should have demonstrated experience in developing software solutions using Java and a proven understanding of distributed systems architecture.

Skills: software development, java, java ee, jsp, jsf, hibernate, web services, service-oriented architecture, oracle, continuous integration, continuous delivery, agile, scrum, cloud-based development, docker, cyber security

Summary: Founding mobile developer role building the mobile UI for a GenAI video platform; collaborate with ML team; requires experience with react, node.js, and mongodb.

Skills: react, node.js, mongodb

Summary: Candidates must have 3+ years of backend development experience with Python and Django, along with 2+ years of frontend experience using React. A strong understanding of REST API design and experience with PostgreSQL and cloud deployment in AWS is also required.

Skills: python, django, react, react query, restful apis, postgresql, aws, cloud, security best practices, fedramp compliance, git, ai automation, docker, kubernetes, performance monitoring, ci/cd

Summary: Candidates should have over 6 years of professional front-end development experience with expertise in modern web technologies. A strong eye for design and the ability to implement engaging animations and interactions are essential.

Skills: html5, css3, javascript, react, next.js, gsap, three.js, lottie, interaction design, animation, motion, performance, accessibility, responsive design, ai tools, figma

Summary: Candidates must have a university degree or equivalent experience with a minimum of 8 years of relevant experience. Proficiency in various programming languages and frameworks is required, along with U.S. citizenship.

Skills: python, java, javascript, c#, react, angular, vue.js, node.js, .net, django, jquery, html, css, agile, cloud software solutions, database concepts

Summary: Candidates should have a Bachelor's degree in Computer Science or a related field and a minimum of 3 years of experience with Java and Spring Boot. Experience with databases, Kubernetes, and microservices architecture is also required.

Skills: java, spring boot, relational databases, non-relational databases, kubernetes, microservices, cross-platform communication, kafka, jwt, public-key encryption, aws, docker

Summary: Candidates should have a bachelor's degree in a related field or equivalent experience, with a minimum of 7 years in software engineering and at least 1 year in technical mentoring. Expertise in Azure, Java, Spring Boot, and experience with RESTful APIs and GraphQL are essential.

Skills: technical mentorship, java, spring boot, blaze, restful apis, graphql, azure, kubernetes, terraform, ci/cd, observability, performance tuning, data integration, ai tools, communication, documentation

Summary: Solid knowledge in a modern backend language is required, along with an understanding of data formats and clean data processing. A structured, independent way of working and a willingness to take responsibility are essential.

Skills: backend development, node.js, php, python, go, data processing, api design, devops, cloud, docker, monitoring, ai integration, unit testing, integration testing, agile development, mentoring

Summary: Candidates should have 8+ years of experience as a Software Engineer or SDET, with expertise in analyzing complex systems and designing test strategies. Familiarity with cloud technologies and strong programming skills are essential.

Skills: software development, test engineering, cloud technologies, container technologies, distributed systems, automation, python, go, java, system analysis, debugging, customer support, root cause analysis, mentoring, data-driven analysis, quality improvement

Summary: Seeking a candidate to design data pipelines, generate dashboards, and use SQL, Snowflake, and dbt.

Skills: sql, snowflake, dbt

Summary: Candidates should have 8+ years of professional software development experience with C# and .NET framework. A solid understanding of web technologies and database technologies is also required.

Skills: c#, .net, react, typescript, html5, css3, sql, nosql, restful apis, ci/cd, asynchronous programming, parallel processing, entity framework, web api, cloud native applications, systems thinking

Summary: 3+ years of data engineering experience with expert-level SQL skills, particularly in PostgreSQL. Experience in building high-throughput production data pipelines and a collaborative mindset are essential.

Skills: data engineering, sql, postgresql, etl pipelines, data quality, data infrastructure, data warehouse, analytics, collaboration, monitoring, documentation, elixir, aws, quicksight, ci/cd, high-throughput systems

Summary: Candidates should have 7+ years of experience in software engineering and a Bachelor's degree in Computer Science or a related field. Strong communication skills and experience with modern applications and APIs are essential.

Skills: software engineering, client communication, javascript, react, node.js, object-oriented programming, database connectors, system design, apis, cloud, devops, version control, security technologies, privacy technologies, elastic search, open-source contributions

Summary: 5+ years of experience in software engineering, with strong proficiency in Python, and 3+ years of experience building and maintaining streaming data systems. An advanced degree in Engineering or a related technical field is preferred, along with prior experience working remotely in a distributed team environment.

Skills: python, kafka, spark, aws kinesis, flink, terraform, cloudformation, dataops, observability, reliability, event-driven data mesh, data infrastructure, machine learning, business intelligence, data quality, data accessibility

Summary: Candidates should have at least 10 years of experience in Agile software application development and a proven track record of managing teams to deliver impactful results. Strong communication and leadership skills are essential, along with the ability to influence senior leaders on engineering strategy.

Skills: agile software development, data science, machine learning, cloud software delivery, technical leadership, team management, communication, problem solving, mentoring, collaboration, cost management, security awareness, diversity and inclusion, stakeholder engagement, project management, user-centric design

Summary: The position requires a minimum of 2 years of experience as a professional software developer and familiarity with structured Software Development Methodologies, preferably Agile. Strong problem-solving and analytical skills, along with proficiency in programming languages such as Java, Scala, or Python, are essential.

Skills: data engineering, software development, problem solving, analytical thinking, java, scala, python, big data, spark, hadoop, kafka, databricks, snowflake, cloud technologies, azure, aws

Summary: The role requires 7+ years of experience in data engineering, particularly with high-volume consumer data in advertising. Candidates should have expert-level coding abilities in SQL and Python, along with experience in building high-throughput data pipelines.

Skills: data engineering, sql, python, etl processes, data models, data quality, monitoring systems, anomaly detection, collaboration, technical leadership, data visualization, dashboarding, advertising technology, machine learning, data infrastructure, problem solving

Summary: Candidates must be pursuing a Bachelor's or Master's degree in an information technology field with a minimum GPA of 3.0. They should be legally eligible to work in the U.S. and plan to seek full-time employment between December 2026 and September 2027.

Skills: data engineering, data pipelines, agile framework, predictive analytics, data insights, fraud detection, risk assessment, customer segmentation, operational efficiency, collaboration, problem solving, presentation skills, data management, technology, insurance, data science

Summary: 5+ years of experience in technical project management or data coordination is required. Strong understanding of media data workflows and exceptional communication skills are essential.

Skills: technical project management, data coordination, vendor management, campaign reporting, communication skills, asana, jira, cross-functional coordination, data workflows, attention to detail, process improvement, data governance, hcp media, pharmaceutical marketing, agile certification, pmp certification

Summary: Candidates should have 3-5+ years of experience with Python and SQL in data-intensive environments. A B.S. in Computer Science or a related field, or equivalent experience is required.

Skills: python, sql, docker, kubernetes, typescript, rust, aws athena, apache airflow, software engineering, code readability, testing, sql databases, api development, blockchain nodes, decentralized tech

Summary: Candidates must have a Bachelor’s Degree and at least 7 years of experience in data engineering, with 5 years in data architecture. Preferred qualifications include a Master’s Degree and extensive experience with various programming languages and data tools.

Skills: data engineering, data architecture, python, java, go, sql, kafka, airflow, spark, aws glue, kinesis, databricks, snowflake, machine learning, mentoring, collaboration

Summary: Candidates must have 15+ years of experience in a data-centric role and be expert in Python and SQL. Hands-on experience with Snowflake and advanced knowledge of Tableau are also required.

Skills: python, sql, snowflake, tableau, data pipelines, data transformation, analytics workflows, product kpis, collaboration, data quality, business metrics, user behavior, feature usage, data models, stakeholder engagement, cloud platforms

Summary: A Bachelor's degree in a quantitative or business field is required, along with 5 to 7 years of related experience. Candidates should have a deep understanding of cybersecurity principles and experience with various security frameworks and tools.

Skills: cybersecurity principles, security control frameworks, vulnerability management, data protection, cloud security, siem integration, detection engineering, systems administration, access controls, project management, analytical skills, mentorship, compliance, governance, operational resilience, data security strategy

Summary: Bachelor's degree with a minimum of 5 years of professional experience in data engineering is required. Candidates must have extensive experience in data engineering, analytics, and cybersecurity domains.

Skills: data engineering, analytics, cybersecurity, python, java, aws, sql, etl, data quality, data modeling, data architecture, data visualization, machine learning, cybersecurity tools, technical leadership, mentorship

Summary: Candidates must be authorized to work in the US and have a minimum of 2 years of relevant experience. Proficiency in programming languages and a strong understanding of data warehousing concepts are essential.

Skills: python, sql, java, data warehousing, etl processes, database management, data streaming, data pipelines, data orchestration, agile, cloud platforms, jupyter, open-source technologies, geospatial data transformation

Summary: A minimum of 6 years of experience in software or data engineering is required, along with proficiency in programming languages such as Python, SQL, and Java. Candidates should have a strong understanding of data warehousing concepts and experience with ETL processes and data streaming technologies.

Skills: python, sql, java, data warehousing, etl processes, database management, data streaming, apache kafka, aws kinesis, apache flink, apache spark, devsecops, github, agile, cloud platforms, geospatial data

Summary: Candidates must have a Bachelor’s Degree and at least 6 years of application development experience. Preferred qualifications include a Master's Degree and extensive experience with big data technologies and cloud computing.

Skills: data engineering, machine learning, distributed microservices, full stack development, java, scala, python, rdbms, nosql, cloud computing, agile engineering, data warehousing, unix/linux, streaming applications, data governance, infrastructure management

Summary: Candidates must have a Bachelor's degree with 8 years of experience or a high school diploma with 12 years of experience. Strong proficiency in React.js, JavaScript, and .NET technologies is required, along with experience in mobile development.

Skills: react.js, javascript, typescript, c#, react native, ios, android, restful api, json, ci/cd, html5, css3, accessibility, problem-solving, organizational skills, communication skills

Summary: Candidates should have 8+ years of experience in data engineering, including 3+ years in a leadership role. Proven expertise in relevant technologies and a strong background in collaborating with analytics and BI teams is essential.

Skills: data engineering, leadership, airflow, dbt, python, kafka streaming, snowflake, api-based data ingestion, real-time streaming, data pipeline orchestration, data integration, analytics, ai assistance bot integration, devops, ci/cd practices, data governance

Summary: Candidates should have a BS or MS in Computer Science or a related field and at least 4 years of software engineering experience. Proficiency in Java or Python and experience with AWS services are essential.

Skills: java, python, data ingestion, data processing, aws, microservices, restful web services, continuous integration, continuous delivery, infrastructure-as-code, scrum, agile, ai, machine learning, deep learning, generative ai

Summary: Candidates should have over 5 years of experience in Microsoft Azure Data Technologies with a strong track record in consulting and relationship building. Excellent communication, analytical skills, and a passion for problem-solving are essential.

Skills: microsoft azure data technologies, azure data implementation, power bi implementation, communication skills, analytical skills, time management, problem solving, teamwork, relationship building, consulting, technical delivery, people management, client delivery objectives, team commitment, interpersonal skills, attention to detail, ownership

Summary: Candidates should have 8-10+ years of technology business leadership experience, particularly in consultancy, with expertise in modern data engineering and various data and analytics delivery competencies. A bachelor's degree is preferred.

Skills: data architecture, data engineering, azure, data warehousing, data lakes, lake house architecture, data governance, data integration, data analysis, data visualization, data quality management, data security, privacy, mdm, regulatory compliance, enterprise architecture

Summary: 5+ years of product management experience in SaaS, enterprise software, or developer tools is required. Candidates should have deep knowledge of integration architecture, hands-on experience with third-party APIs, and strong communication skills to collaborate with engineers.

Skills: product management, api design, developer experience, integration architecture, saas, enterprise software, technical communication, data-driven decision making, customer empathy, collaboration, restful apis, devops workflows, analytics tools, integration solution design, high-velocity product teams, community engagement

Summary: Candidates must have over 5 years of experience in building APIs with Python frameworks and significant experience in data caching and optimization. Strong problem-solving and communication skills are essential for success in this role.

Skills: python, fastapi, django, flask, apis, microservices, data caching, asynchronous processing, relational databases, sql, docker, ci/cd, system monitoring, problem solving, communication, collaboration

Summary: Candidates should have a bachelor's degree in Electrical Engineering and 4-6 years of relevant experience. Proficiency in programming and familiarity with various electrical modeling tools is also required.

Skills: electrical engineering, power systems analysis, relay coordination, automation development, pcb design, programming, dcim integration, problem solving, solid-state power systems, iot telemetry, bms integration, hardware prototyping, plc programming, professional engineering certification, 3d printing, embedded programming

Summary: Candidates must have a bachelor's degree with 5 years of experience or a high school degree with 9 years of experience. Proficiency in Java, AWS, and modern front-end technologies is required.

Skills: java, spring, hibernate, javascript, typescript, react, aws, lambda, sqs, s3, sns, ses, eks, xml, git, ci/cd, docker

Summary: Seeking a Senior Software Engineer for data infrastructure. Key skills required: Python, Apache Airflow, Google Cloud Platform.

Skills: python, postgresql, elasticsearch, google cloud platform (gcp), llms, langchain, genai

Summary: Candidates should have depth in distributed systems and experience with columnar formats and low-level encoding strategies. Proficiency in programming languages such as Java, Rust, Go, or C++ is essential, along with a curiosity about data representation and learning efficiency.

Skills: distributed systems, columnar formats, metadata-driven architectures, adaptive query planning, spark, flink, java, rust, go, c++, compression, entropy, learning efficiency, systems thinking

Summary: Candidates should have 5 to 7 years of experience in data engineering with a strong command of Java and Scala. A graduate degree and proficiency in English (C1) are required.

Skills: java, scala, python, hadoop, spark, ab initio, informatica, etl processes, data mapping, restful apis, json, devops, agile methodologies, statistical approaches, data quality management, detection logic

Summary: Candidates should have 4 to 5 years of experience and a Bachelor's degree. Proficiency in Azure, Databricks, SQL, and Python is essential, along with strong analytical and technical capabilities.

Skills: microsoft azure cloud, databricks, pyspark, python, sql, machine learning, devops, ci/cd, git, docker, kubernetes, bash, data engineering, data architecture, etl, data integration

Summary: 8+ years of data engineering experience with at least 3-5 years in a technical lead role. Expertise in the Microsoft Azure ecosystem and hands-on experience with major cloud platforms.

Skills: data engineering, azure data factory, synapse, databricks, data lake, etl, elt, sql, python, cloud platforms, dataops, devops, business intelligence, communication skills, project management, automation

Summary: Candidates should have 8+ years of experience in Database or Data Infrastructure Engineering, with a strong focus on cloud-based data infrastructure. Extensive expertise in AWS data environments and proficiency in relevant programming languages is required.

Skills: database engineering, data infrastructure engineering, aws, postgresql, aurora, snowflake, sql, python, terraform, ci/cd, data modeling, observability, infrastructure as code, data governance, streaming pipelines, machine learning, analytics

Summary: The role requires 8+ years of experience in designing and scaling data systems, with proven technical leadership in complex data ecosystems. Candidates should have deep experience with modern data stacks and strong collaboration skills.

Skills: data engineering, data architecture, sql, python, data quality, data integration, cloud-native warehouses, orchestration tools, transformation frameworks, collaboration, mentorship, data systems, real-time data products, apache kafka, analytics, machine learning

Summary: Candidates should have 7+ years of data engineering experience, including leadership roles. Deep experience with healthcare datasets and strong SQL skills are essential.

Skills: data engineering, healthcare datasets, sql, data modeling, elt, automation, incident management, communication, stakeholder management, interoperability, python, aws, snowflake, dbt, airflow, performance metrics

Summary: Join as a Full Stack Developer focusing on automation workflows. Requires Node.js, MongoDB, and SQL experience. Varies salary based on location and experience.

Skills: node.js, mongodb, sql

Summary: Seeking front end/full stack developer to enhance user experience with Linux, JS/React, and Azure DevOps. Focus on application development and integration of user engagement features.

Skills: python, django, linux, devops, mvc, entity framework, microsoft sql server, docker, react.js, microsoft .net, apache web server

Summary: Seeking an experienced back end engineer to develop innovative civic engagement solutions using SQL Server, Linux, and Node.js. Join a remote team to optimize and build database technologies.

Skills: python, sql, django, linux, entity framework, mvc framework, microsoft sql server, docker, react.js, microsoft .net, apache web server, azure devops

Summary: Candidates should have 7+ years of experience in backend or data engineering, including 2+ years in a management role. Strong communication skills and a passion for mentoring are essential, along with experience in modern microservices and AWS.

Skills: backend engineering, data engineering, team leadership, mentoring, microservices, real-time processing, typescript, node.js, aws, ci/cd, observability, technical roadmaps, architecture discussions, debugging, career development, collaboration

Summary: Seeking Smart Contract Engineer to develop Solidity contracts, integrate with EVM, and ensure security. Key tech: Solidity, Hardhat, Ethers.js.

Skills: typescript, solidity, blockchain, smart contracts, blockchain architecture, foundry, nodejs, blockchain technology, oauth2 , token authentication , jwt(json web token), cicd, aptos, web3.js, blockchain development smart contracts, metamask, evm, openzeppelin, erc20, solidity (ethereum), ethereum, solidity and writing smart contracts, blockchain/ethereum/solidity, tokenomics, erc721, ethersjs, nft's, hardhat, solana, nfts, erc1155, smart contract, solidity, ethereum, rust, erc20, erc721, erc777, bsc, solidity/openzeppelin, openzeppelin · proxycontracts, non-fungible tokens (nfts), erc20, eip712, ipfs, evm

Summary: Bachelor’s degree in Computer Science, Software Engineering, or a related field is required. Minimum of 5 years’ experience in full-stack software development within a professional setting is also required.

Skills: laravel, firebase, php, .net core, c#, javascript, typescript, react, restful api, aws, cloud services, microservices, ci/cd, automation, software development, code reviews

Summary: Candidates should have 15+ years of experience building and scaling complex data systems, particularly in early- or growth-stage SaaS companies. A deep understanding of large-scale data pipelines and distributed systems is essential.

Skills: data pipeline architecture, distributed systems, system design patterns, real-world tradeoffs, collaboration, communication, mentoring, innovation, simplicity, reliability, performance, cloud technologies, event-driven architecture, saas, ai, cost attribution

Summary: Candidates should have 3+ years of experience in data engineering or backend engineering with a strong data focus. A deep understanding of modern data architecture and strong programming skills in Go or Python are essential.

Skills: data engineering, backend engineering, data architecture, etl, elt, go, python, sql, aws, kubernetes, data security, data reliability, data visualization, data governance, blockchain, analytics

Summary: 8+ years of experience as a software engineer with at least 3+ years in Node.js is required. Expertise in building web crawlers and strong experience with asynchronous programming and databases is essential.

Skills: node.js, automation, web crawlers, data processing, puppeteer, asynchronous programming, event-driven architecture, message brokers, postgresql, sql, nosql, kubernetes, cloud services, security best practices, distributed systems, problem-solving

Summary: 4 years of hands-on experience building and maintaining data pipelines in a cloud environment is required, with a strong emphasis on Snowflake. Candidates should also have 2+ years of Python experience and strong SQL skills.

Skills: data pipelines, data quality, data modeling, python, sql, dbt, etl, elt, data integration, data observability, data governance, bi tools, cross-functional projects, fivetran, kafka, cloud environment

Summary: Candidates should have over 5 years of experience managing data engineering teams in a B2B SaaS environment. A strong understanding of data platform engineering and the ability to handle complex engineering challenges is essential.

Skills: data engineering, data architecture, event streaming, pipeline monitoring, query optimization, data modeling, distributed systems, warehouse optimization, cost management, team management, cloud providers, data quality, performance tradeoffs, real-time processing, data ingestion, data consistency

Summary: 5+ years of experience in a relevant field with a focus on personalized feed ranking. Proven ability to deliver complex machine learning projects and mentor junior team members.

Skills: machine learning, ranking, data science, mentoring, a/b testing, algorithm development, distributed systems, programming, statistical analysis, sequence modeling, reinforcement learning, transformer architecture, bayesian methodology, experimentation, collaboration, communication

Summary: Candidates should have a minimum of 5 to 7 years of experience in IT, with at least 3 years specifically in data engineering and analytics. Strong expertise in data modeling, ETL processes, and advanced SQL is required.

Skills: aws, azure, databricks, snowflake, sql, data modeling, etl development, data warehousing, bi reporting, data quality, performance monitoring, agile methodologies, problem solving, analytical thinking, automation, continuous improvement

Summary: Candidates must have a bachelor's degree in computer science or a related field and at least 7 years of experience in data engineering or big data development. Proficiency in Cloudera platform and strong programming skills in Scala, Java, and HiveQL are required.

Skills: cloudera, aws, hdfs, yarn, hive, spark, scala, java, python, bash, data engineering, big data, devops, data governance, drools, metadata

Summary: Candidates must have a mastery of 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 required, along with 5-7 years of relevant work experience.

Skills: software engineering, data engineering, leadership, mentoring, collaboration, java, python, sql, automation, cloud technologies, vendor management, agile methodologies, problem solving, system monitoring, technical escalation, data systems

Summary: Bachelor's Degree or equivalent combination of education and experience is required, along with 2-5 years of directly related experience. Strong proficiency in React development, TypeScript, and Tailwind CSS is essential.

Skills: react, typescript, tailwind css, jest, testing library, git, restful api, responsive design, docker, react query, react hook form, storybook, cypress, playwright, ci/cd, openapi

Summary: Strong experience with React Native and modern JavaScript/TypeScript is required. Prior experience in FinTech or other financial systems is a major plus.

Skills: react native, javascript, typescript, mobile applications, ios, android, restful apis, version control, fintech, financial systems, code reviews, api integration, performance optimization, user experience, collaboration, data security

Summary: A Bachelor's degree in a quantitative or business field is required, along with 5-7 years of related experience. Candidates should possess advanced proficiency in Databricks and experience in building scalable data pipelines.

Skills: databricks lakehouse, unity catalog, pyspark, sql, python, aws, data pipeline optimization, data modeling, healthcare data, databricks api, ci/cd, automation, data governance, data transformation, data validation, data quality

Summary: Candidates should have 8+ years of experience in Software Engineering or Data Engineering, particularly in high-traffic and fault-tolerant environments. Proficiency in technologies such as Spark, Python, and various Big Data technologies is essential.

Skills: software engineering, data engineering, architecture, design patterns, real-time data pipelines, spark, python, dbt, c#, sql, big data technologies, streaming platforms, generative ai technologies, data quality, automation tools, code reviews

Summary: Candidates should have over 10 years of experience in senior engineering roles, with at least 5 years as a technical lead. Experience with compliance, particularly in FedRAMP or DoD environments, is also required.

Skills: technical leadership, cross-functional collaboration, mentorship, strategic impact, compliance experience

Summary: Candidates should have 3+ years of professional software development experience and strong proficiency in modern programming languages. Experience with video processing technologies and cloud platforms is essential.

Skills: software development, video processing, api development, cloud platforms, agile development, problem solving, data privacy, media technologies, ci/cd, version control, microservices, database management, video technologies, analytics, collaboration, innovation

Summary: The position requires a minimum of 7 years in instrumentation/controls programming and 3 years in HVAC controls and electrical power monitoring. A bachelor's degree in Engineering, Construction Management, or equivalent experience is also required.

Skills: controls engineering, project management, bms, epms, plc, scada, hvac controls, electrical power monitoring, industrial automation, building management systems, quality assurance, risk mitigation, continuous improvement, vendor management, stakeholder communication, troubleshooting

Summary: Candidates need 2+ years of related experience and a bachelor's degree in relevant fields such as Data Science or Information Management Analytics. Knowledge of programming languages and strong analytical skills are essential.

Skills: data engineering, data collection, data analysis, programming languages, scripting languages, microsoft office 365, business acumen, analytical skills, communication skills, critical thinking, attention to detail, math skills, problem-solving skills, insurance knowledge, self-motivated, organized

Summary: A Bachelor’s degree in Computer Science, Information Systems, or a related field is required, along with 0-2 years of experience in data engineering or integration. Familiarity with SQL and a programming language, as well as strong analytical and communication skills, are essential.

Skills: etl, data integration, sql, python, c#, cloud platforms, data modeling, schema design, data extraction, data transformation, data loading, troubleshooting, analytical skills, communication skills, teamwork, adaptability

Summary: Extensive experience as a Data Engineer with deep expertise in Azure data platform services is required. Strong programming skills in Python and proficiency in SQL are essential, along with a solid understanding of data governance principles.

Skills: azure data factory, databricks, data governance, data quality, data security, sql, python, scala, data modelling, schema design, data warehousing, git, problem-solving, communication, mentoring, real-time data streaming, ci/cd

Summary: Extensive experience with the full Elasticsearch stack and SQL database technologies is required. Familiarity with AWS, Python, and Agile methodologies is also essential.

Skills: data engineering, sql, nosql, elasticsearch, aws, linux, docker, kubernetes, python, agile, natural language processing, machine learning, data storage, data retrieval, security best practices, data analysis

Summary: Candidates should have strong experience with data management and a commitment to the pro-life movement. Familiarity with web development and analytical skills are preferred, but training is available.

Skills: data management, web development, automation, apis, survey design, polling analysis, data reporting, problem solving, attention to detail, communication, bubble.io, python, sql, javascript, political data tools, voter files

Summary: Candidates should have a Bachelor's Degree in a relevant field and 1-3 years of experience in Software Engineering or Data Engineering. Knowledge of Databricks, Spark, and experience with AWS services are preferred.

Skills: data engineering, big data, cloud-based analysis, data pipelines, aws, databricks, redshift, python, spark, data processing, data integration, data cleaning, data visualization, agile, linux

Summary: Candidates should have 3+ years of experience in data engineering roles and strong experience with ETL tools and cloud platforms. Familiarity with data visualization tools and performance tuning techniques is also required.

Skills: data engineering, etl tools, google cloud platform, performance tuning, data visualization, data pipelines, aws technologies, python, nosql databases, machine learning, data science, data warehousing, realtime streaming, bi tools, java

Summary: The successful candidate will have 5 years of experience in Data Science and 2+ years of experience developing using Python. They should also have experience with machine learning models, data analysis, and visualization.

Skills: data science, machine learning, python, business intelligence, siem tools, data preparation, data visualization, big data technologies, exploratory data analysis, security concepts, technical writing, analytical skills, problem-solving skills, ai, data management tools, attention to detail

Summary: Candidates should have at least 10 years of professional development experience, with 7 years focused on Java/Spring Boot microservices. Experience with cloud technologies, data engineering, and AI in

Skills: java, spring boot, microservices, jenkins, docker, kubernetes, cloud, azure, aws, data pipelines, real time processing, lakehouse architecture, apache hudi, ai integration, big data, enterprise design patterns

Summary: Candidates must have six years of information systems experience in Data and Metadata Management or relevant educational qualifications. Special requirements include six years of experience with Micro

Skills: data engineering, data analysis, metadata management, data governance, metadata standards, data stewardship, relational databases, microsoft sql server, cloud data tools, microsoft azure, etl processes, data warehousing, data modeling, erwin data modeler

Summary: 5+ years of proven data engineering experience using common languages and frameworks is required. A bachelor's degree in a relevant field or equivalent experience is also necessary.

Skills: data engineering, java, python, dbt, spark, flink, postgresql, mysql, oracle, linux, docker, git, aws, gcp, azure, looker, tableau

Summary: Bachelor’s degree in a related field preferred with 3+ years of experience as a Data Engineer. Proficient in Python and SQL, with strong experience in AWS services and data transformation tools.

Skills: python, sql, aws, glue, lambda, s3, dbt, data engineering, data pipelines, data architecture, data modeling, data quality, event-driven architecture, ci/cd, git, problem solving

Summary: A bachelor's degree in a quantitative field is required, along with strong proficiency in Python and SQL. Candidates should have experience with data analysis and visualization, as well as excellent p

Skills: data engineering, python, sql, data analysis, data visualization, statistical methods, problem-solving, communication, etl processes, database management, visualization tools, software engineering, git, devops, gis, geospatial data

Summary: Candidates should have over 5 years of experience in data roles, preferably in high-growth startups within the payments industry. Strong skills in SQL, Python, and cloud environments are essential, al

Skills: data engineering, cloud environments, data modeling, sql, python, workflow orchestration, distributed systems, cloud olap, data ingestion, data transformation, machine learning, system design, data quality, payments industry, scrappy problem solving, behavioral insights

Summary: Candidates should have 5+ years of experience in data roles, preferably in high-growth startups within the payments industry. Strong skills in SQL, Python, data modeling, and experience with cloud env

Skills: data engineering, machine learning, data modeling, sql, python, workflow orchestration, distributed systems, cloud olap, data ingestion, data transformation, kafka, aws, gcp, snowflake, redshift, bigquery

Summary: Candidates must have a minimum of 8 years of professional experience with a Bachelor's degree or equivalent, or 6 years with a Master's degree. Knowledge of API service development and expertise in au

Skills: software development, ci/cd, api development, java, spring, oauth, saml, jwt, test driven development, continuous integration, junit, playwright, sql, nosql, git, jira

Summary: Candidates should have strong proficiency in TypeScript and React, along with experience in software development and Agile methodologies. They must also demonstrate the ability to mentor junior develo

Skills: typescript, react, design systems, agile, saas, solid principles, code reviews, documentation, mentorship, collaboration, unit testing, technical leadership, emerging technologies, cross-functional teams, product management, continuous improvement

Summary: Candidates should have 3+ years of experience in engineering management or leadership roles, particularly in data engineering or analytics. Strong communication skills and a solid understanding of cyb

Skills: data engineering, analytics, cybersecurity, python, database technologies, project management, team leadership, communication, collaboration, problem solving, continuous improvement, web harvesting, data processing, client relations, technical concepts

Summary: Join a YC-backed startup to develop sustainable agriculture software using Python, system design, and full-stack technologies. Engage with dairy farms to optimize farming operations.

Skills: python, typescript, cloud

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, leadership, cloud infrastructure, data modeling, etl processes, sql, project management, troubleshooting, problem solving, communication, collaboration, mentoring, agile methodologies, automation, modern software development

Summary: Candidates should have a Bachelor's degree or relevant experience with 7+ years of overall experience. They must have 4+ years of experience developing in Python and a solid understanding of data ware

Skills: python, etl, data warehousing, data lakes, master data management, aws solutions, relational databases, columnar databases, linux, bash scripting, airflow, dbt, aws glue, aws batch, docker, kubernetes

Summary: 8+ years of experience in data pipeline development and cloud infrastructure, with proficiency in AWS and data warehousing. Strong skills in data quality, performance optimization, and security compli

Skills: data pipeline development, cloud infrastructure, data warehousing, data quality, governance, performance optimization, security, compliance, collaboration, communication, python, sql, kafka, flink, aws, etl

Summary: Candidates should have strong experience in developing interactive tools in R Shiny and a proven track record of presenting complex data clearly. Experience with community-based conservation initiativ

Skills: r shiny, data visualization, data science, project design, project management, community-based conservation, problem solving, technical communication, user-friendly tools, customizable tools, data-driven decision making, complex data presentation, innovation, collegiate environment, organizational skills, motivated

Summary: Candidates must have a relevant degree and extensive experience in software development, particularly with Java, Spring Boot, and Angular. U.S. Citizenship is required, along with the ability to obtai

Skills: java, spring boot, angular, oop principles, restful apis, junit, testng, mockito, typescript, javascript, css, html, sql, pl/sql, git, database design

Summary: Candidates should have 10+ years of experience in data engineering and 5+ years of advanced experience with Airflow and Python. Additionally, experience with Google Cloud Platform and designing produc

Skills: data engineering, python, apis, mlops, google cloud platform, bigquery, sql, data governance, data architecture, event-driven architecture, ci/cd, terraform, apache airflow, streaming pipelines, monitoring, containerization

Summary: Candidates should have 4+ years of experience in data engineering and 2+ years of expertise in designing end-to-end data pipelines in cloud frameworks. Proficiency in Python, SQL, and experience with

Skills: data engineering, cloud frameworks, python, machine learning, sql, ci/cd, data pipelines, data governance, containerization, data orchestration, infrastructure as code, generative ai, monitoring, data quality, event-driven data sharing, collaboration

Summary: Candidates should have over 5 years of data engineering experience, with a strong focus on AI/ML data pipelines. Proficiency in Python, SQL, and distributed data processing frameworks is essential, al

Skills: data engineering, ai, ml, python, sql, apache spark, gcp, kafka, data modeling, nosql, performance optimization, data observability, etl, data pipelines, documentation, collaboration

Summary: Candidates must have a minimum of 5 years of professional front-end development experience, with at least 2 years specifically in HubSpot CMS. Expertise in HUBL, modern JavaScript frameworks like Reac

Skills: hubspot cms development, hubl, html5, css3, javascript, react, seo, responsive design, version control, git, agile development, b2b marketing, b2c marketing, quality assurance, cross-browser testing, api integration

Summary: Candidates must have a Bachelor's Degree in Computer Science or Information Technology and at least 2 years of experience with .NET, C#, SQL, and Azure. Strong attention to detail and excellent commun

Skills: c#, .net, sql, azure, jira, debugging, testing, software maintenance, data cleansing, integration, documentation, code review, troubleshooting, communication, attention to detail, resourcefulness

Summary: Candidates should have 7+ years of professional fullstack development experience with a deep understanding of modern JavaScript and expert-level proficiency with React. Strong backend expertise with N

Skills: fullstack development, node.js, react, typescript, javascript, koa, nestjs, webpack, mongodb, clickhouse, elasticsearch, docker, ci/cd, open-source contributions, performance optimization, code reviews

Summary: The role requires expertise in Snowflake for data warehousing and strong proficiency in SQL. Familiarity with Azure Data Factory and software engineering lifecycle tools is also essential.

Skills: snowflake, azure data factory, sql, github, jenkins, jira, sonarqube, ci/cd, devops, software development lifecycle, python, c#, anomaly detection, statistical analysis, cloud platforms, infrastructure monitoring

Summary: Candidates should have 3+ years of experience programming PHP for large-scale projects and be well-versed in JavaScript and MySQL. A bachelor's degree in a related discipline is required.

Skills: php, yii2, javascript, mysql, xhtml, css, jquery, ajax, object-oriented design, mvc, version control, netsuite, suitescript

Summary: 3-5 years of professional experience in front-end software development is required. Hands-on experience with Angular and related technologies is essential.

Skills: angular, typescript, javascript, html, css, state management, restful apis, git, github, unit testing, integration testing, ci/cd, cloud environments, communication skills, troubleshooting skills

Summary: 4+ years of engineering management experience and 5+ years as an individual contributor prior to that. Strong understanding of data architecture and API-driven systems; experience with Python- and Typ

Skills: strategic leadership, technical acumen, cross-functional collaboration, delivery & execution, people development, adaptability & resilience, data architecture, api-driven systems, python, typescript, generative ai, project prioritization, stakeholder communication, mentorship, coaching, feedback

Summary: Candidates should have at least 5-7 years of experience in a related role, with specific expertise in Snowflake and data integration tools. A strong understanding of data management principles and exp

Skills: data architecture, data pipelines, data warehousing, snowflake, etl processes, sql, python, data governance, data integration, cloud providers, version control, ci/cd frameworks, collaboration, technical documentation, data management, attention to detail

Summary: Lead the Platform Engineering team to develop scalable systems with Node.js, React, and MongoDB. Must have strong leadership and mentoring skills.

Skills: node.js, react, mongodb

Summary: Lead product development for an AI-powered travel platform. Skills needed: React, Node.js, Python, and shaping tech vision.

Skills: react, next.js, node.js, python, aws

Summary: Seeking a Front-End Developer proficient in React, Next.js, and HTML5. Role includes feature development and interface design for a SaaS product.

Skills: react, next.js, html5, css3, bootstrap

Summary: Join the engineering team to enhance user experiences using Ruby on Rails, JavaScript, and CSS. Collaborate in an agile setting creating responsive, high-quality software solutions.

Skills: ruby on rails, javascript, css

Summary: Seeking experienced front-end developer skilled in React, Flutter, and JavaScript for startup project focused on cyclists.

Skills: react, flutter, javascript

Summary: A minimum of three years of experience in front-end web development is required, along with exceptional programming proficiency in JavaScript, HTML, and CSS. Experience with AstroJS and React-based de

Skills: html, css, javascript, astrojs, react, seo, problem solving, organizational skills, interpersonal skills, communication skills, version control, security implementation, optimization, documentation

Summary: Candidates should have 3+ years of professional software development experience and proficiency in at least two of Go, Java, or Python. Experience with API design, containerization technologies, and k

Skills: software development, golang, java, python, api design, containerization, ci/cd, asynchronous programming, performance optimization, monitoring tools, devops tools, linux, cloud computing, microservices, data processing, distributed systems

Summary: Candidates should have strong proficiency in Go, Java, and Python, with experience in building production applications and API design. Familiarity with containerization technologies and experience men

Skills: software development, golang, java, python, api design, containerization, ci/cd, asynchronous programming, event-driven architectures, performance optimization, monitoring tools, devops tools, linux environments, cloud computing, cassandra, kafka, elasticsearch

Summary: Candidates should have over 10 years of data engineering experience and at least 5 years of team management. A college degree in a relevant field is required, along with strong skills in data manipula

Skills: data engineering, team management, data structures, cloud technologies, mlops framework, collaboration, problem solving, data warehousing, communication skills, data manipulation, critical thinking, flexibility, technical leadership, resource optimization, analytical tools, innovative mindset

Summary: Candidates must have a BA/BS in Computer Science or a related field and at least 5 years of professional experience in full-stack software development. Proficiency in PHP, Laravel, relational database

Skills: full stack development, php, laravel, relational databases, mariadb, mysql, html5, css3, javascript, linux, bash scripting, git, ci/cd, security practices, cloud-native technologies, documentation

Summary: Candidates must have a minimum of 5 years of experience with Angular, .NET, and SharePoint, along with a university degree in ICT and advanced certification in software development technologies. Engli

Skills: sharepoint, .net, angular, scrum, agile, uml, technical documentation, problem-solving, software development, performance optimization, security, accessibility, training, maintenance, technical support, knowledge management

Summary: Candidates should have strong proficiency in Python and SQL, along with experience in AWS data and analytics services. Familiarity with data governance, security best practices, and experience in buil

Skills: python, sql, aws, data engineering, data pipelines, data warehousing, data governance, data security, etl, cloud computing, data visualization, apache airflow, apache spark, hadoop, devops, infrastructure as code, nosql

Summary: 10+ years of software development and data engineering experience with demonstrated ownership of production-grade data infrastructure. Deep expertise in scaling Spark in production and proficiency in

Skills: data engineering, pyspark, cloud platforms, data processing, analytics, ai/ml, software development, distributed computing, data modeling, python, relational databases, nosql databases, mentoring, problem solving, e-commerce integration, monitoring

Summary: Candidates should have a strong background in solution architecture for AI/ML systems and experience with system integration and enterprise-scale deployments. Familiarity with VA frameworks and federa

Skills: solution architecture, ai, ml, system integration, data pipelines, enterprise deployments, federal it security standards, technical advisement, communication skills, low-code/no-code methods, collaboration, configuration, performance evaluation, cost evaluation, compliance evaluation

Summary: Strong grasp of programming fundamentals and eagerness to learn are essential. Exposure to various technologies and a commitment to quality and collaboration are also important.

Skills: grails, node.js, python, angular, angularjs, restful apis, postgresql, debugging, testing, documentation, continuous integration, iot, cloud systems, version control, aws, google cloud platform

Summary: 3+ years of professional software development experience in a SaaS or IoT environment is required. Proficiency in multiple programming languages and strong debugging skills are essential.

Skills: software development, saas, iot, grails, node.js, python, angular, postgresql, restful apis, debugging, testing, problem-solving, collaboration, code reviews, cloud systems, automation

Summary: You should have a strong ability to solve complex problems and a deep understanding of system architecture. Collaboration and communication skills are essential for mentoring other developers and effe

Skills: problem solving, system architecture, technology stacks, collaboration, communication, ai-powered development, lending products, collections systems, credit technology, mentoring, proofs-of-concept, stabilization, technical knowledge, workflow design, service stabilization, foundational libraries

Summary: Candidates must have a bachelor's degree in a related field and at least 5 years of professional experience in frontend development. Expertise in Angular, TypeScript, HTML5, and CSS3 is required, alon

Skills: angular, typescript, html5, css3, restful apis, graphql, asynchronous programming, state management, error handling, data caching, agile, lean, ci, cloud environments, python

Summary: Candidates should have a bachelor's degree and a minimum of 2 years of related experience, or an advanced degree without experience. A strong background in Oracle Analytics Cloud, ODI Marketplace, and

Skills: oracle analytics cloud, odi marketplace, python, data warehouse, etl, data integration, data analysis, data modeling, business analytics, reporting solutions, troubleshooting, documentation, industry trends, cloud technologies, microsoft power bi, tableau

Summary: Candidates must have a Bachelor's Degree in a relevant field and at least 3 years of experience in developing dashboards using Microsoft Power BI. Knowledge of SQL and relational databases is also req

Skills: data visualization, microsoft power bi, sql, relational databases, data cleansing, data modeling, statistical analysis, machine learning, critical thinking, communication skills, client service, team collaboration, dashboard development, ad hoc analysis, data architecture, training development

Summary: Candidates must have a university degree or equivalent experience with at least 5 years of relevant experience. Proficiency in Python and experience with SQL and machine learning applications are esse

Skills: python, sql, data visualization, machine learning, deep learning, statistical analysis, data cleansing, agile methodology, gpu programming, cloud services, neural networks, software development, mlops, data science, analytics, data products

Summary: Typically requires a University Degree or equivalent experience and a minimum of 8 years prior relevant experience, or an Advanced Degree in a related field with a minimum of 5 years experience. Exper

Skills: python development, relational databases, sql development, quantitative techniques, data visualization, deep learning frameworks, machine learning models, gpu programming, network optimization, mlops, statistical analysis, agile methodology, data cleansing, software development processes, cloud services, complex neural networks

Summary: Candidates must have a Bachelor's degree with 8 years of experience or a Master's degree with 6 years of experience, or a High School diploma with 12 years of experience. Proficiency in Mainframe Adab

Skills: mainframe adabas, natural programming, software development, system requirements, test plan creation, software engineering best practices, uat test plans, business specifications, technical specifications, child support solutions, public sector applications

Summary: Candidates must have in-depth knowledge of UI design and development, as well as experience with front-end development in Drupal CMS. A good command of English and understanding of web accessibility s

Skills: ui design, frontend development, html5, scss, bootstrap 5, web accessibility, agile, twig 3, drupal cms, css development, cross-browser compatibility, storybook, fractal, team collaboration

Summary: Candidates should have 5+ years of experience in data engineering, with strong skills in SQL and Python. Familiarity with cloud platforms and data modeling approaches is essential, along with experien

Skills: data engineering, cloud data platforms, sql, python, etl, elt, data modelling, ci/cd, version control, data quality, machine learning, nlp, data governance, data architecture, mentoring, stakeholder management

Summary: Candidates should have a bachelor's degree in a related field or equivalent practical experience, along with experience in SQL and Python development. Familiarity with Azure Gov Cloud and data visuali

Skills: sql, python, javascript, data visualization, relational databases, programming principles, data ingestion, api integrations, cloud computing, azure gov cloud, analytical skills, problem-solving, teamwork, communication, data governance, data security

Summary: Candidates should have 8+ years of overall software development experience, with at least 6 years in front-end development using Angular 8+. A Bachelor’s or Master’s degree in Computer Science, Engine

Skills: angular 8+, typescript, javascript, html, sass/css, responsive design, mobile-first development, accessibility standards, rest, soap, mysql, sql, karma, jasmine, git, agile, aws

Summary: Candidates should have 4+ years of experience in building modern web applications and a self-starter mindset. Proven ability to write clean, scalable code and experience in data visualization or analy

Skills: react, javascript, typescript, ui design, accessibility, prototyping, unit testing, end-to-end testing, collaboration, mentoring, data visualization, analytics, communication, problem solving, customer focus, product impact