Data Developer Jobs with Equity ≥ 1%

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: At least three years of experience working with Shopify or Shopify Plus is required. Strong proficiency in Liquid, HTML5, CSS3, JavaScript, and experience with API integrations and responsive design is essential.

Skills: shopify, liquid, html5, css3, tailwind css, javascript, json, api integration, responsive design, accessibility, performance optimization, git, figma, e-commerce solutions, troubleshooting, documentation

Summary: At least three years of experience working with Shopify or Shopify Plus is required. Strong proficiency in Liquid, HTML5, CSS3, JavaScript, and experience with API integrations are essential.

Skills: shopify, liquid, html5, css3, tailwind css, javascript, json, figma, apis, accessibility, responsive design, performance optimization, git, e-commerce, troubleshooting, documentation

Summary: Candidates must have a Bachelor's or Master's degree in a related field and at least 8 years of professional software development experience. Deep expertise in Python and extensive experience with cloud platforms are essential.

Skills: python, cloud platforms, apis, microservices, devops, agile development, generative ai, containerization, ci/cd, data pipelines, performance optimization, clean code, test-driven development, messaging queues, distributed systems, prompt engineering

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: Candidates must have a bachelor's degree in Computer Science or equivalent experience, along with 3+ years of knowledge in big data technologies and cloud services. Experience in data analysis, preferably in the healthcare industry, is also required.

Skills: data management, data validation, data integration, sql, spark, cloud, rdbms, data analysis, etl, healthcare, microsoft office, project management, databricks, snowflake, kafka, hadoop

Summary: 3+ years of data engineering experience with expert-level SQL skills, particularly in PostgreSQL. Experience in building and maintaining high-throughput production data pipelines with a focus on data quality is 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: 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 and collaboration skills with clients and technical teams are essential.

Skills: software engineering, client communication, javascript, react, node.js, object-oriented programming, database design, scalable system design, restful apis, microservices, sql, nosql, cloud computing, devops, version control, security technologies

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: 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 essential.

Skills: data engineering, etl pipelines, sql, python, aws, data modeling, schema design, data quality, data governance, automation, cloud solutions, mentoring, communication, problem solving, critical thinking, project management

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 should have 7-10+ years of relevant experience and a passion for solving complex data problems. Advanced experience with DBT, Apache Iceberg, AWS data capabilities, and expert SQL skills are essential.

Skills: data preparation, pipeline development, predictive modeling, machine learning, sql, apache spark, python, dbt, aws, data quality, data governance, mlops, feature engineering, data warehouse, change data capture, data modeling

Summary: Candidates must have 2-4 years of experience with MS SQL Server and SSIS, as well as experience in Data Engineering with tools like Hadoop and Spark. A strong background in coding commercial software and a passion for solving complex problems is essential.

Skills: data engineering, etl, ms sql server, ssis, python, aws, hadoop, spark, kafka, postgres, cassandra, airflow, data modeling, agile, data warehousing, data analysis

Summary: Candidates should have 3+ years of professional experience in backend software development and strong proficiency in Golang, SQL, and data warehousing concepts. Familiarity with blockchain fundamentals and experience with production-grade cloud deployments are also required.

Skills: backend software development, golang, sql, data warehousing, messaging systems, blockchain fundamentals, high-performance apis, observability metrics, monitoring tools, cloud deployments, aws, agile development, clean code practices, teamwork, communication skills

Summary: Candidates should have a Master's Degree in Healthcare Data Science or similar with 3-5 years of experience, or a Bachelor's Degree with 5-7 years of experience. Proficiency in Azure Databricks, Azure Data Factory, Python, SQL, Spark, and Terraform is required.

Skills: data engineering, cloud-native, data pipelines, azure databricks, azure data factory, python, sql, spark, terraform, data quality, governance, performance optimization, mentoring, problem-solving, collaboration, emerging technologies

Summary: Candidates should have 12+ years of software engineering experience with at least 5 years in a leadership role. Extensive expertise in full-stack development and a strong background in AI and cloud services are essential.

Skills: software engineering, leadership, full-stack development, python, fastapi, flask, typescript, react, node.js, java, rust, cloud platforms, ai, machine learning, devops, system architecture

Summary: The ideal candidate should have 8+ years of experience as a Full Stack .NET Developer and 3+ years with MongoDB or other NoSQL databases. A Bachelor's degree in a related field is required, along with strong problem-solving and collaboration skills.

Skills: full stack development, c#, asp.net core, mvc, web api, restful apis, mongodb, aws, git, ci/cd, agile, scrum, microservices, problem-solving, analytical skills, communication skills

Summary: Candidates should have a minimum of 5 years of professional experience in software development with a strong focus on systems software. Proficiency in Java and experience with CI/CD tools, cloud-based development, and cybersecurity best practices are essential.

Skills: java, java ee, java se, jsp, jsf, hibernate, service-oriented architecture, oracle, ci/cd, jenkins, gitlab, agile, scrum, docker, openshift, cybersecurity

Summary: 5+ years of experience as a senior engineer in developer productivity tools or platform services is required. Additionally, 3+ years of experience managing software engineers and 2+ years leading developer experience teams is necessary.

Skills: platform engineering, developer experience, ci/cd pipelines, cloud technologies, kubernetes, docker, terraform, database management, java, python, typescript, build systems, observability, incident management, mentoring, communication

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: Bachelor’s degree in Computer Science, Engineering, or a related field, with 4+ years of experience as a Data Engineer or in a similar analytics-focused role. Proficiency in SQL and strong experience with dbt models and Airflow pipelines is required.

Skills: data engineering, sql, dbt, airflow, data quality, data modeling, data pipelines, collaboration, documentation, analytics, automation, ai, llms, communication, agile, pyspark, databricks

Summary: Candidates should have a minimum of 5 years of professional experience in software development, particularly in systems software. Proficiency in Java and experience with IRS tax processing systems are essential.

Skills: software development, java, web services, service-oriented architecture, oracle, middleware, continuous integration, continuous delivery, agile, scrum, cloud-based development, api containerization, cyber security, fisma, configuration management, integrated project team, iterative development

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: Requires 8+ years of DBA experience and strong PostgreSQL skills. Familiarity with data integration practices and cloud-based solutions is essential.

Skills: postgresql, etl, elt, data integration, sql, data modeling, apis, automation, cloud-based solutions, cross-functional collaboration, documentation, communication, chef, ruby, python, monitoring tools

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: 5+ years of product management experience in SaaS or developer tools is required. Candidates should have deep knowledge of integration architecture and experience with third-party APIs and RESTful API design.

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, agile methodologies, software engineering

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: 1–2 years of experience in a data-related or operations role preferred. Basic understanding of data processing and data quality principles, along with hands-on experience writing SQL queries.

Skills: data integration, data quality, etl processes, sql, problem solving, communication, healthcare data standards, documentation, data validation, collaboration, attention to detail, process consistency, automation tools, data processing, troubleshooting, growth orientation

Summary: Candidates should have 7+ years of data engineering experience, particularly in healthcare datasets. Strong SQL skills and experience with modern data tools like dbt, Airflow, and Snowflake are essential.

Skills: data engineering, healthcare datasets, sql, data modeling, elt pipelines, automation, incident management, root-cause analysis, communication, stakeholder management, mentoring, data quality, python, airflow, snowflake, dbt

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: Candidates should have a bachelor's degree in a related field and a minimum of 2 years of experience as a Data Engineer or similar role. Hands-on experience with Azure Synapse and strong knowledge of database architecture is also required.

Skills: data engineering, database solutions, data pipelines, etl processes, azure synapse, pyspark, spark sql, data quality, data integrity, database performance, problem solving, collaboration, agile environment, data warehousing, data modeling, technical solutions

Summary: The role requires a good understanding of the frontend ecosystem and enthusiasm for learning. Familiarity with React, Next.js, and testing frameworks is essential.

Skills: html, css, sass, modern javascript, react, nextjs, web standards, accessibility, performance, build tools, unit testing, git, npm, yarn

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

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

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: Candidates should have a BSc in Computer Science or a related subject and a solid understanding of programming languages such as C# and .NET. Familiarity with HTML, CSS, SQL, and Agile methodologies is also required.

Skills: c#, .net, html, css, sql, agile, git, problem-solving, communication, teamwork, attention to detail, time management, adaptability, resilience, continuous improvement, debugging

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 must be currently registered in a Bachelor’s or Master’s degree program in a relevant engineering discipline. Proficiency in Python and outstanding academic credentials are required.

Skills: python, data extraction, data transformation, data visualization, artificial intelligence, machine learning, document processing, azure ai, cloud services, rest apis, data cleaning, quality checks, exploratory analysis, technical writing, problem solving, collaboration

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 typically requires 2+ years of experience in software development with a Master's degree or 4+ years with a Bachelor's degree. Strong knowledge of programming languages and cloud technologies is essential, along with excellent communication skills.

Skills: java, python, sql, airflow, cloud computing, data engineering, data warehousing, golang, agile methodologies, distributed systems, problem solving, software design, communication, collaboration, automation, sla measurement

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: 3–5 years of hands-on experience as a Data Engineer or Analytics Engineer is required. Advanced proficiency in SQL, dbt, and Python, along with experience in cloud data warehouses and ETL tools, is essential.

Skills: data engineering, analytics engineering, sql, dbt, python, cloud data warehouses, snowflake, etl, orchestration tools, fivetran, stitch, airflow, collaboration, problem-solving, data governance, machine learning

Summary: 3–5 years of hands-on experience as a Data Engineer or Analytics Engineer is required. Advanced proficiency in SQL, dbt, and Python, along with experience in cloud data warehouses and ETL tools, is essential.

Skills: data engineering, analytics engineering, sql, dbt, python, cloud data warehousing, snowflake, etl, orchestration tools, fivetran, stitch, airflow, collaboration, problem-solving, data governance, machine learning

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: Proven experience in backend software development, ideally working on systems at large scale. Strong proficiency in Golang and experience with Google Cloud Platform is required.

Skills: backend software development, golang, google cloud platform, distributed systems, api design, system reliability, kubernetes, ray, infrastructure-as-code, terraform, ad tech, programmatic advertising, real-time bidding, communication skills, collaboration, optimization

Summary: 3+ years of product management experience in technical domains such as platform engineering or developer tooling is required. Hands-on experience with big data technologies and a strong understanding of data infrastructure and orchestration frameworks are essential.

Skills: product management, data engineering, data pipelines, data warehousing, stakeholder management, agile methodologies, big data technologies, data infrastructure, orchestration frameworks, data streaming technologies, user stories, ai tools, collaboration, communication, prioritization, feedback gathering

Summary: Candidates should have 5-8 years of experience in software development with proficiency in programming languages such as Java, C#, React, or JavaScript. A bachelor's degree in computer science or a related field is required.

Skills: software development, application development, java, c#, react, javascript, agile, scrum, software architecture, design patterns, problem-solving, unit testing, debugging, technical guidance, mentorship, collaboration

Summary: 7 or more years experience developing software in an Agile environment is required. Strong understanding of OOP concepts and design patterns along with expertise in Angular and ASP.NET Core is essential.

Skills: software development, web applications, angular, asp.net core, c#, javascript, typescript, css, sass, html, apis, service-oriented architecture, event-based design, postgresql, entity framework core, oop

Summary: 3 or more years of experience developing software in an Agile, team-based environment is required. The ideal candidate should have expertise in Angular, ASP.NET Core, and building robust APIs.

Skills: software development, angular, asp.net core, c#, javascript, typescript, css, sass, html, apis, service-oriented architecture, event-driven architecture, postgresql, entity framework core, oop, agile

Summary: A Bachelor’s Degree in Computer Science or a relevant field is required, along with 10 years of progressive software development experience. Extensive knowledge of application technologies and proficiency in SQL database systems are essential.

Skills: software development, application technologies, database systems, cloud infrastructure, continuous integration, quality assurance, security best practices, technical leadership, object-oriented design, api development, sql database proficiency, performance testing, communication skills, project management, mentoring, emerging technologies

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: Candidates must have a minimum of 7 years of professional experience and a Bachelor's degree in a relevant field. They should possess strong analytical skills and the ability to thrive in an entrepreneurial environment.

Skills: full stack development, web applications, user interfaces, apis, server-side logic, application performance, troubleshooting, agile methodologies, gitlab, .net/c#, react, javascript, python, security protocols, strategic thinking, problem solving

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: A bachelor's degree in Computer Science, Engineering, or Information Technology is required, along with at least 4 years of experience in technical support or related fields. Experience with public cloud platforms, particularly AWS, is also necessary.

Skills: technical support, cloud infrastructure, data security, troubleshooting, incident management, root cause analysis, documentation, collaboration, mentorship, salesforce, jira, slack, pagerduty, containerization, scripting, networking

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, cloud infrastructure, data security, troubleshooting, incident management, root cause analysis, documentation, collaboration, mentorship, salesforce, jira, slack, pagerduty, containerization, scripting, networking

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 proven experience as a Full Stack Developer with strong proficiency in web technologies, particularly Next.js. A bachelor's degree in a technology-related field or equivalent experience is required.

Skills: full stack development, javascript, html, css, next.js, crm applications, aws, stripe, restful apis, problem solving, communication, teamwork, independence, database management, ci/cd, security best practices

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: 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 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, along with strong communication skills.

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

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: Bachelor’s degree with a minimum of 5 years of professional experience in data engineering is required. Candidates with an associate degree or high school diploma and additional years of experience may also qualify.

Skills: data engineering, analytics, cybersecurity, python, java, aws, sql, etl, data quality, data modeling, data architecture, machine learning, cybersecurity tools, data visualization, data analysis, cloud platforms

Summary: A 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, machine learning, cybersecurity tools, data visualization, data profiling, data analysis

Summary: High School diploma equivalency with 2 years of cumulative experience or an Associate's/Bachelor's degree with 1 year of experience is required. A Bachelor's degree in a related field and 5+ years of experience in data engineering are preferred.

Skills: data engineering, data ingestion, pipeline development, data warehousing, sql, relational databases, nosql databases, data visualization, real-time data streaming, cloud-based data platforms, python, java, scala, etl/elt tools, data governance, data security, data quality

Summary: Candidates should have 5+ years of experience in data engineering, preferably in high-growth startups, with strong skills in cloud platforms and data modeling. Familiarity with workflow orchestration tools and data transformation frameworks is also required.

Skills: data engineering, data pipelines, data modeling, sql, python, cloud platforms, aws, gcp, workflow orchestration, prefect, airflow, data transformation, dbt, kafka, olap platforms, snowflake, redshift

Summary: Proficiency in SQL and familiarity with data warehouses and BI tools is required. A track record of autonomous work and exposure to dbt or similar tools is preferred.

Skills: sql, data warehouses, business intelligence, communication skills, organizational skills, time management, autonomy, dbt, data transformation, ai coding assistants, llms, data modeling, data integration, data ecosystem, data products, customer insights

Summary: Candidates should have 5+ years of experience in developing and operating production systems, particularly in a cloud environment. Strong skills in data modeling, pipeline design, and programming languages like Python and SQL are essential.

Skills: data engineering, aws, python, sql, data quality, data governance, ci/cd, infrastructure as code, event-driven architectures, data models, data pipelines, spark, athena, mlops, docker, databricks

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 a BA degree in computer science or a related field and 3-5+ years of experience in MSSQL T-SQL and SSIS development. Proficiency in programming languages like C# and Python, along with excellent communication skills, is essential.

Skills: sql, etl, data integration, t-sql, ssis, data warehouse, c#, python, data analysis, problem solving, communication, performance tuning, database optimization, technical design, troubleshooting, requirements gathering

Summary: Candidates should have a Bachelor's Degree in Computer Science or equivalent experience, with 4 years of software engineering experience focused on Python and data engineering. Proficiency in cloud technologies and data processing tools is also required.

Skills: python, sql, data engineering, data integration, data quality, relational databases, nosql, data lakehouses, cloud technologies, microsoft azure, rest standards, data movement solutions, data transformation solutions, workflow orchestration tools, ci/cd, container technology

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: Candidates should have a bachelor's degree in a related field and over 8 years of professional software development experience. Expertise in Java and familiarity with cloud deployments and containerization is required.

Skills: java, node.js, vuejs, nestjs, cloud-based deployments, docker, kubernetes, aws, mongodb, nosql, postgresql, network topologies, generative ai, automation, performance optimization, monitoring

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: A bachelor's or graduate degree in a related discipline is required, along with 4-6 years of experience in data engineering. Proficiency in SQL and hands-on experience with Snowflake and DBT are essential.

Skills: data engineering, snowflake, dbt, sql, azure data factory, etl, elt, data governance, data pipelines, data warehousing, rest apis, relational databases, nosql databases, cloud platforms, documentation, collaboration, bilingual

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: Lead Node.js engineering for automation workflows, using React, MongoDB, and Kubernetes. Collaborate with teams to define strategy and mentor developers in a remote role.

Skills: node.js, mongodb, kubernetes

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, along with excellent communication and problem-solving skills.

Skills: software development, video processing, restful apis, microservices, cloud platforms, agile development, problem-solving, ci/cd pipelines, git, data privacy, video technologies, analytics, ai/ml technologies, containerization, database management, customer engagement

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: Strong experience with React Native and modern JavaScript/TypeScript is required. Familiarity with RESTful APIs and prior experience in FinTech or financial systems is a major plus.

Skills: react native, javascript, typescript, mobile applications, ios, android, restful apis, version control, fintech, communication

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: A Bachelor's Degree in Computer Science or a related field is required, along with 1-3 years of experience in Software Engineering or Data Engineering. Knowledge of Databricks, Spark, and experience with Python or similar programming languages is essential.

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

Summary: Candidates should have 2+ years of related experience and a bachelor's degree in relevant fields. Knowledge of programming and scripting languages, as well as strong analytical and communication 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, self-motivated, organized, problem-solving skills, interpersonal skills

Summary: 5+ years of experience in software engineering, focusing on backend or infrastructure development. Proven experience designing and building distributed data infrastructure at scale with strong expertise in batch and streaming processing technologies.

Skills: software engineering, data infrastructure, distributed systems, batch processing, streaming processing, data reliability, data consistency, data performance, collaboration, technical best practices, mentoring, ai/ml pipelines, golang, python, sql, snowflake

Summary: Bachelor's degree in a related field or equivalent experience is required. Candidates should have 7+ years of professional experience in data engineering and 4+ years of Python development experience.

Skills: data engineering, etl, aws, python, relational databases, data warehousing, data lakes, master data management, containerization, kubernetes, linux, bash scripting, airflow, dbt, machine learning, business intelligence

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 10+ years of professional software engineering experience and 5 years of experience leading other software engineers. Expertise in data architecture, Python, Typescript, SQL, and AWS is required.

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, golang

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 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: A Bachelor's degree in a quantitative or business field is required, along with 4-6 years of related experience. Candidates should have experience with Big Data, data processing, and programming langu

Skills: data engineering, data pipelines, data ingestion, data transformation, data validation, data quality, data processing, cloud infrastructure, c#, java, python, sql, data manipulation, data mining, automation, project management

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 in front-end development with significant experience in React/NextJS and TypeScript is required. Experience building out the frontend of a trading platform or exchange is essential.

Skills: react, nextjs, typescript, websockets, real-time data, problem-solving, code quality, autonomy, trading platforms, defi, ci/cd, solana, dynamic interfaces, user experience, innovative thinking, cryptocurrency

Summary: Candidates should have a Bachelor's degree in Computer Science or related field and a minimum of 3 years of experience with Java/Spring Boot. Experience with databases and deploying systems is also re

Skills: java, spring boot, relational databases, non-relational databases, kubernetes, microservices, cross-platform communication, queuing technologies, streaming technologies, jwts, public-key encryption, aws, docker

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: 5+ years of experience in a relevant field, preferably with personalized feed ranking. Proven track record of delivering complex machine learning projects and strong communication skills are essential

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

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: Candidates should have a minimum of 10 years of experience in software architecture and cloud engineering, with strong knowledge of AWS services. Proficiency in Java Microservices, Spring Boot, and CI

Skills: aws, software architecture, cloud engineering, technical program management, java microservices, spring boot, rest apis, ci/cd, kubernetes, docker, html, css, javascript, typescript, vuejs, agile

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 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. Proficiency in Java, Oracle, and modern development work

Skills: software development, ci/cd, java, oracle, pl/sql, git, jenkins, docker, kubernetes, restful api, oauth, code modernization, agile, automation, cloud services, mentoring

Summary: Candidates should have strong knowledge of AWS services and experience in software architecture and cloud engineering. A minimum of 10 years of experience is required, along with proficiency in Java M

Skills: aws, software architecture, cloud engineering, technical program management, java microservices, spring boot, rest apis, ci/cd, kubernetes, docker, html, css, javascript, typescript, vuejs, agile

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 a Bachelor's or Master's degree in Computer Science or a related field, with 6-8 years of experience in Data Engineering. A minimum of 4 years managing data or software teams an

Skills: data engineering, team management, project delivery, technical guidance, data quality, data architecture, cloud technologies, python, restful apis, microservices, agile methodologies, data processing, innovation, mentoring, analytics, data models

Summary: Candidates must have a minimum of 8 years of professional experience with a Bachelor's degree or 6 years with a Master's degree. Proficiency in Java, Oracle, and modern development workflows is essent

Skills: software development, ci/cd, java, oracle, pl/sql, git, jenkins, docker, kubernetes, restful api, oauth, code modernization, agile, automation, cloud services, mentoring

Summary: Candidates must have at least 5 years of professional software development experience, particularly in API development using Java Microservices and Spring Boot. Experience with CI/CD, Kubernetes, and

Skills: software development, api development, java microservices, spring boot, rest apis, microservice architecture, rdbms, nosql, ci/cd, github, jenkins, kubernetes, docker, automation, infrastructure as code, terraform

Summary: The ideal candidate should have 3+ years of experience building Solidity contracts and deep familiarity with EVM mechanics. Knowledge of DeFi primitives and pricing mechanisms is essential.

Skills: solidity, evm, defi, smart contracts, nft, data licensing, pricing mechanisms, hardhat, foundry, brownie, git, gas optimization, proxy patterns, reentrancy mitigations, enterprise systems, ai

Summary: Candidates must have an active Secret clearance and a degree in a related field, along with 7+ years of professional experience in data engineering. Proficiency in Python and SQL, as well as experienc

Skills: python, sql, etl, data pipelines, ci/cd, github, gitlab, cloud platforms, aws, azure, gcp, databricks, apache spark, kafka, airflow, docker, kubernetes

Summary: Candidates should have excellent full stack web development skills, ideally with experience in Python and TypeScript, as well as knowledge of relevant frameworks and databases. A self-starter attitude

Skills: full stack web development, python, typescript, fastapi, flask, django, javascript, react, next.js, data visualisation, postgresql, sqlalchemy, cloud infrastructure, aws, automated testing, agile project management

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 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, data visualization, apache airflow, apache spark, hadoop, devops, infrastructure as code, snowflake

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: Experience with health and survey data is essential, along with proficiency in Python and cloud environments. Familiarity with NHS health data and best practices in data engineering is also required.

Skills: data engineering, health data, data pipelines, python, cloud environments, distributed computing, data transformation, containerisation, spark, databricks, agile development, version control, data standards, code review, unit tests, collaboration

Summary: Candidates should have a bachelor's degree in Computer Science or a related field and at least 3 years of programming experience. Proficiency in Go, SQL, and modern web technologies is essential.

Skills: go, javascript, html, css, sql, react, figma, http rest apis, git, agile, mobile-first design, code reviews, mentorship, performance optimization, data models, application development

Summary: Bachelor's degree in Computer Science or a related field is required, along with at least 3 years of programming experience. Candidates should have solid hands-on experience with Go and SQL, and be ab

Skills: go, javascript, html, css, sql, react, figma, http rest apis, git, agile, mobile-first design, code reviews, mentorship, performance optimization, data models, apis

Summary: Candidates should have experience with health data and be proficient in Python, with a good understanding of cloud environments and data transformation formats. Experience in building scalable data pi

Skills: data engineering, health data, python, cloud environments, data pipelines, data transformation, agile development, version control, containerisation, distributed computing, data standards, stakeholder management, data lakes, spark, databricks, unix

Summary: A bachelor's degree in a related field and 5+ years of experience in data engineering or analytics are required. Proficiency in various analytics tools and AWS services, along with strong programming

Skills: data engineering, business intelligence, data analytics, aws, python, sas viya, tableau, oracle analytics server, obiee, devsecops, agile, ai/ml, data governance, social media analytics, predictive models, data quality

Summary: Candidates must have a minimum of a SECRET security clearance and knowledge of DOD SAP/ERP systems. Experience in creating data transformation pipelines and familiarity with AWS products is also requi

Skills: data architecture, data cleaning, data transformation, sap, erp, client relationship management, data operations, agile process, data processing technologies, cybersecurity, aws, data engineering testing, software security, system life cycle management, dod processes, logistics

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: B.S. degree in Computer Science or a related technical field and 5+ years of experience as a Software Engineer or Data Engineer building production systems at scale. Proficiency in programming languag

Skills: software engineering, data engineering, distributed systems, big data technologies, sql, python, java, scala, ci/cd, containerization, cloud infrastructure, data services, apis, data processing, data storage, testing

Summary: Candidates should have a degree in Computer Science or a related field and over 5 years of experience in data engineering. Proficiency in SQL, Python, and familiarity with Big Data technologies is ess

Skills: data engineering, software engineering, sql, python, data warehousing, spark, big data technologies, data modeling, etl, elt, data governance, security, compliance, ci/cd, automation, analytics

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 6+ years of Java and Java EE web development experience along with strong SQL skills. A bachelor's degree in Computer Science or a related field is preferred.

Skills: java, java ee, sql, postgresql, microsoft sql server, mysql, javascript, angular, jquery, npm, css, gradle, maven, struts, spring, spring boot, restful apis

Summary: The role requires 6+ years of Java and Java EE web development experience along with strong SQL skills. A bachelor's degree in Computer Science or equivalent experience is preferred.

Skills: java, java ee, sql, postgresql, microsoft sql server, mysql, javascript, angular, jquery, npm, css, gradle, maven, spring, spring boot, restful apis, soap

Summary: Candidates should have a B.S. or M.S. in a relevant field or equivalent experience, with proficiency in Python and SQL. Strong analytical skills and an interest in the renewable energy industry are es

Skills: python, sql, statistical analysis, data visualization, data modeling, project management, analytical skills, renewable energy, communication, automation, data processing, problem solving, attention to detail, teamwork, initiative, integrity

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: A Bachelor's degree in a quantitative or business field is required, along with 2-4 years of related experience. Technical skills in programming languages such as C#, Java, Python, and SQL are desired

Skills: data engineering, data pipelines, data transformation, data validation, data quality, data processing, big data, cloud infrastructure, c#, java, python, sql, data manipulation, data mining, quality assurance, automation

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 7+ years of full-time experience in AI/ML or full stack software engineering, particularly with data-intensive systems. A strong background in software engineering, AI/ML/NLP en

Skills: ai/ml development, data pipelining, system intelligence, security & compliance, operations, python, sql, postgresql, dbt, bigquery, nlp, llm, pytorch, cloud platforms, linux, bash scripting, web services

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: 8+ years of professional programming experience in modern imperative languages is required. Experience with web APIs, backend development, and modern front-end frameworks is also necessary.

Skills: full stack development, security, performance, python, node.js, golang, web apis, sql, database integration, react, vue.js, angular, agile processes, microservices, continuous integration, open source

Summary: A Bachelor's degree or equivalent experience in a computer-related field is required, along with working experience in Java and JavaScript. Candidates should possess strong analytical skills and the a

Skills: java, javascript, web-based technology, user interface design, problem-solving, quality assurance, interpersonal communication, thread dump analysis, memory leaks, caching, apache tomcat, oracle database, unix/linux, java-based web services, jboss, sencha ext js

Summary: Candidates should have 5-8 years of experience in software development with proficiency in programming languages like Java, C#, React, or JavaScript. A bachelor's degree in computer science or a relat

Skills: software development, application development, java, c#, react, javascript, agile, scrum, software architecture, design patterns, problem-solving, unit testing, debugging, technical guidance, mentorship, collaboration

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: Candidates should have a BSc/MA in a quantitative field and at least 3 years of experience in data engineering. Proficiency in Python, SQL, and experience with data orchestration tools is essential.

Skills: data engineering, python, sql, data pipelines, data ingestion, data transformation, data orchestration, data quality, docker, kubernetes, bi tools, data governance, data privacy, airflow, snowflake, looker

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 should have 3-6 years of experience in Talent Sourcing or full-cycle Talent Acquisition within Technology Consulting. A deep understanding of technology roles and exceptional organizational

Skills: talent sourcing, talent coordination, technical talent, interview coordination, stakeholder communication, ats proficiency, market mapping, data engineering, software engineering, cloud technologies, devops, ai solutions, candidate experience, sourcing strategies, metrics driven, organizational skills, autonomy

Summary: A Bachelor's degree in a quantitative or business field is required, along with 4-6 years of related experience. Equivalent experience may also be considered.

Skills: informatica, sql, snowflake

Summary: Seeking a front-end developer knowledgeable in Shopify, JavaScript, and Klaviyo to optimize storefronts quickly and efficiently for improved conversions.

Skills: shopify, javascript, klaviyo

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: Bachelor's degree in a related field and 5+ years of experience in data engineering or analytics are required. Proficiency in various data tools and programming languages is essential.

Skills: data analytics, business intelligence, cloud computing, aws, tableau, sas viya, oracle, python, scala, groovy, pl/sql, agile, devsecops, data governance, ai/ml, predictive models

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 8+ years of overall software development experience, including at least 6 years of hands-on front-end development with Angular 8+. A Bachelor’s or Master’s degree in Computer Sc

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 8+ years of overall software development experience, including at least 6 years of hands-on front-end development with Angular 8+. A Bachelor’s or Master’s degree in Computer Sc

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 8+ years of overall software development experience, including at least 6 years of hands-on front-end development with Angular 8+. A Bachelor’s or Master’s degree in Computer Sc

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 8+ years of overall software development experience, including at least 6 years of hands-on front-end development with Angular 8+. A Bachelor’s or Master’s degree in Computer Sc

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

Summary: A Bachelor's Degree in a quantitative discipline is required, along with a minimum of 5 years of professional experience or 7+ years in Python application development. Familiarity with API frameworks,

Skills: data engineering, ai, python, apis, containerization, ci/cd, pyspark, cloud platforms, machine learning, generative ai, large language models, deep learning, nlp, big data, data streaming, problem solving

Summary: Candidates should have a Bachelor’s or Master’s degree in Computer Science or a related field, along with 7+ years of experience in software product development. Fluency in at least one programming la

Skills: software development, distributed systems, data onboarding, go, scala, streaming systems, apache kafka, docker, kubernetes, high availability, reliability, performance optimization, collaboration, communication, saas, cybersecurity

Summary: Candidates should have a bachelor's degree in a STEM field and at least 12 years of experience in data engineering or analytics engineering. Significant experience with SQL, Snowflake, and data visual

Skills: data engineering, analytics engineering, sql, dbt, snowflake, python, data quality, data visualization, business intelligence, automation, collaboration, data modeling, cloud data warehousing, reporting, stakeholder communication, performance optimization

Summary: Candidates must have a bachelor's degree in a related field and a minimum of 10 years of experience in building and optimizing data processing pipelines. Proficiency in Apache Spark, Kafka, and cloud

Skills: apache spark, data pipelines, machine learning, apache kafka, aws, azure, etl tools, data visualization, rest apis, data processing, stream processing, data analysis, collaboration, data workflows, big data processing, data transformation

Summary: Candidates must have an active US Secret Security Clearance or higher and a Bachelor's Degree in Computer Science or a related discipline. A minimum of 5 years of related work experience is required.

Skills: data engineering, etl, data pipelines, cloud-based solutions, data modeling, data quality, data security, data governance, automation, orchestration tools, integration tools, performance monitoring, troubleshooting, cross-functional collaboration, analytics, large-scale data processing

Summary: Bachelor’s or Master’s degree in computer science, engineering, business analytics, data science, or related fields is required along with 12+ years of overall experience in implementing and managing

Skills: data infrastructure, data engineering, cloud computing, data pipelines, etl processes, data quality, database design, data warehousing, programming, distributed systems, monitoring tools, team leadership, collaboration, vendor management, agile methodologies, devops practices

Summary: Specific requirements for the position are not detailed in the posting. However, relevant knowledge, skills, experience, and certifications are considered.

Summary: Candidates should possess relevant knowledge and skills in software development. Experience and certifications will be considered in the hiring process.

Summary: Candidates should have strong back-end development skills and familiarity with front-end development, along with experience in designing REST-based APIs. Knowledge of cloud technologies and DevOps pra

Skills: back-end development, front-end development, rest-based api services, spring technologies, kubernetes, docker, kafka, aws, azure, gcp, devops, ci/cd, java, python, sql, api security standards

Summary: A Bachelor's degree in a quantitative or business field is required along with 4-6 years of related experience. Equivalent experience may also be considered.

Skills: data modeling, data transfers, schema standards, python, aws, sql, nosql, dbt

Summary: The ideal candidate should have experience with JavaScript, TypeScript, and React Native, along with a strong understanding of integrating APIs and automated testing. Familiarity with native modules o

Skills: javascript, typescript, react native, rest apis, automated testing, git, npm/yarn, in-app purchases, agile working principles, design system, native modules, bitrise, github actions, communication skills

Summary: Candidates should be proficient in React.js, HTML5, CSS3, and modern JavaScript, along with experience in Node.js and Express.js for backend development. Familiarity with SQL databases and AWS service

Skills: react.js, html5, css3, javascript, node.js, express.js, sql, postgresql, mysql, wordpress, aws, mongodb, restful api, automation, analytics, ui/ux design

Summary: Candidates should have 8+ years of experience in data engineering or related fields, with at least 2-3 years in a leadership role. A Bachelor's or Master's degree in computer science or equivalent exp

Skills: data engineering, leadership, data pipelines, data lake architectures, database optimization, cloud technologies, python, postgres, aws, gcp, agile development, incident response, data quality, streaming technologies, infrastructure-as-code, software engineering

Summary: Candidates should have 3+ years of experience in team leadership and proven experience in cloud-based SaaS environments. A strong ability to support team execution and a passion for improving public t

Skills: team leadership, people management, cloud software, saas, technical mentorship, feedback, growth mindset, backend development, frontend development, data management, aws, postgres, java, javascript, vue.js, technical discovery

Summary: Candidates should have over 5 years of experience in C# and .NET technologies, along with proficiency in Angular and databases. Familiarity with Agile methodologies and strong communication skills are

Skills: c#, asp.net mvc, angular, databases, object-oriented design, solid principles, unit testing, javascript, jquery, nodejs, agile, azure, continuous integration, soap, rest, debugging, troubleshooting

Summary: You should be independent, practical, and solution-oriented, with a desire to manage a complete system rather than just individual pieces of code. Excellent command of the Dutch language is required,

Skills: php, mysql, react, react native, next.js, git, ci/cd, deployment, security, performance, ux/ui, e-commerce, subscription systems

Summary: Candidates should have over 7 years of experience in Data Engineering and a strong background in the Microsoft data stack. A bachelor's degree in a related field is required, with relevant Microsoft c

Skills: microsoft fabric, data factory, lakehouse, notebooks, spark, sql, python, data modeling, d365, purview, ci/cd, power bi, azure devops, data governance, data validation, performance tuning

Summary: Candidates should have extensive experience in Data Engineering with advanced knowledge of Greenplum/PostgreSQL in an MPP/DW environment. Strong skills in CI/CD for SQL, Informatica for file-based ing

Skills: data engineering, greenplum, postgresql, sql optimization, ci/cd, informatica, kafka, python, shell scripting, aws, data quality, etl, observability, performance tuning, financial services, cloud migration

Summary: Candidates should have a bachelor's degree in Computer Science or a related field and at least 4 years of experience in software development. Proven experience with Azure and Microsoft technologies is

Skills: full-stack development, c#, azure, sql databases, web services, object-oriented c#, html, javascript, microservices architecture, ci/cd pipelines, git, azure active directory, backup solutions, disaster recovery, azure functions, logic apps, workday studio

Summary: Candidates must have a bachelor's degree in a related field and a minimum of 10 years of experience in building and optimizing data processing pipelines. Proficiency in Apache Spark and experience wit

Skills: apache spark, apache kafka, aws kinesis, azure event hubs, apache flink, machine learning, data processing, rest apis, data visualization, etl tools, cloud platforms, data pipelines, data analysis, collaboration, communication

Summary: Candidates should have 5+ years of professional software development experience with a strong focus on React and TypeScript. A deep understanding of mobile WebView environments and experience with sta

Skills: react, typescript, javascript, html5, css3, responsive design, webview, unit testing, integration testing, git, redux, agile, adtech, swift, kotlin, video players, interactive media

Summary: A Bachelor’s Degree in Computer Science or equivalent experience is preferred, along with 4 years of experience in software engineering focused on data processes. Proficiency in Python development and

Skills: data integration, sql, software development, data quality, data migration, python, relational databases, nosql, data lakehouses, cloud technologies, microsoft azure, informatica iics, fivetran, airbyte, workflow orchestration, ci/cd

Summary: Candidates should have 5+ years of experience in building and maintaining scalable data pipelines and 3+ years as a data engineer with experience in tools like Airflow. Proficiency in SQL, Python, and

Skills: data architecture, data modeling, pipeline engineering, data integration, performance optimization, data quality, governance, collaboration, sql, python, cloud platforms, etl processes, data governance, analytical sql, big data technologies, software engineering mindset, communication skills

Summary: Candidates should have a bachelor's degree in a relevant field and at least 8 years of experience in data engineering. Progressive experience in programming, deploying Spark pipelines, and a solid und

Skills: data engineering, entity identification, spark pipelines, sql, apache airflow, aws services, machine learning, ai models, data science, programming, ci/cd, unit testing, git, distributed computing, graph-based datasets, ad-tech

Summary: Candidates should have 5+ years of experience in software engineering with a focus on data systems and backend development. Proficiency in backend languages and strong experience with data modeling an

Skills: software engineering, data systems, backend development, apis, data modeling, schema evolution, etl, elt, cloud platforms, databases, streaming, customer-facing apis, collaboration, communication skills

Summary: Candidates should have a Bachelor's degree and over 7 years of experience in software/data engineering roles. Expertise in Scala and cloud-native data platforms is required, along with strong CS funda

Skills: data engineering, data pipelines, scala, cloud platforms, data modeling, performance tuning, data integration, real-time processing, machine learning, ai models, system design, monitoring, technical leadership, collaboration, incident response, ownership