{"schemaVersion":"jobsearcher.job.v1","id":"c2575d7bb104b4764036b3dd","url":"https://jobsearcher.com/jobs/c2575d7bb104b4764036b3dd","canonicalUrl":"https://jobsearcher.com/jobs/c2575d7bb104b4764036b3dd","title":"Sr. IT Big Data Developer","description":"TO-BH-3 Sr. IT Big Data Developer (Data Architect/Engineer)\nLocation: Washington, DC (100% On-site)\nClient: Federal Reserve Board (Division of Research & Statistics)\nEmployment Type: Full-Time Contract\nPeriod of Performance: July 27, 2026 – December 31, 2026 (Extension Possible)\nCitizenship Requirement: U.S. Citizenship Required\nAbout Diverse Agile Solutions\nDiverse Agile Solutions (DAS) is a certified Minority Business Enterprise (MBE) providing innovative IT consulting, cloud, cybersecurity, software engineering, and data analytics solutions to federal, state, and commercial organizations. Our team partners with government agencies to modernize enterprise technology, improve mission outcomes, and deliver exceptional customer service.\nAt DAS, we invest in talented professionals who thrive on solving complex technical challenges while making a meaningful impact.\nPosition Overview\nDiverse Agile Solutions is seeking a highly skilled Senior IT Big Data Developer (Data Architect/Engineer) to support the Federal Reserve Board's Data Architecture, Technology, and Analytics (DATA) organization within the Division of Research & Statistics.\nThe DATA team is responsible for transforming how economic research data is collected, managed, integrated, analyzed, and visualized across the organization.\nThis position is ideal for an experienced Data Architect and Data Engineer who enjoys designing scalable enterprise data platforms, building modern data pipelines, optimizing large-scale data processing systems, and supporting data-driven research initiatives.\nThe successful candidate will collaborate closely with economists, data scientists, researchers, and software engineers to design next-generation data architecture supporting critical economic policy research.\nKey Responsibilities\nDesign and implement scalable enterprise data architectures supporting research and analytics initiatives.\nDevelop, optimize, and maintain enterprise data pipelines and automated ETL/ELT workflows.\nDesign conceptual, logical, and physical data models.\nBuild highly scalable data processing frameworks capable of supporting large datasets.\nDevelop data integration solutions for structured and unstructured data sources.\nOptimize database performance across enterprise environments.\nDesign enterprise data lake and data warehouse solutions.\nImplement Change Data Capture (CDC) methodologies.\nDevelop workflow orchestration using tools such as Apache Airflow, Prefect, Dagster, or AWS Step Functions.\nSupport migration of data platforms between on-premises and cloud environments.\nPerform root cause analysis of data quality and business process issues.\nCollaborate with economists and technical teams to deliver trusted, high-quality data assets.\nDevelop software solutions supporting enterprise data services.\nParticipate in application testing, deployment, and production support.\nBuild and maintain CI/CD pipelines supporting DataOps initiatives.\nDocument architecture, standards, and technical designs.\nRecommend improvements to enterprise data strategy and governance.\nRequired Qualifications\nBachelor's degree in Computer Science, Information Technology, Engineering, or a related technical discipline.\nMinimum 7 years of professional experience in Data Engineering, Data Architecture, or Big Data Development.\nAdvanced experience developing complex SQL solutions.\nExtensive experience with relational databases including:\nPostgreSQL\nMicrosoft SQL Server\nMySQL\nAdvanced programming experience with:\nPython\nR\nExperience designing scalable enterprise data platforms.\nExperience building automated ETL/ELT pipelines.\nExperience developing scalable data processing solutions.\nExperience with GitLab and/or GitHub source control.\nExperience working in Linux environments.\nStrong software engineering background including development, testing, and deployment.\nExcellent written and verbal communication skills.\nStrong analytical and troubleshooting abilities.\nPreferred Qualifications\nExperience with one or more of the following technologies is highly desirable:\nData Engineering\nApache Airflow\nPrefect\nDagster\nAWS Step Functions\nCloud Platforms\nAmazon Web Services (AWS)\nMicrosoft Azure\nSnowflake\nEnterprise Data Technologies\nEnterprise Data Lakes\nData Warehouses\nCDC (Change Data Capture)\nDataOps\nCI/CD Pipelines\nBig Data\nDistributed Computing\nLarge Scale Data Processing\nHigh-Volume Data Optimization\nAdditional Technologies\nNoSQL Databases\nGraph Databases\nMachine Learning\nJava\nScala\nJavaScript\nPerl\nDomain Experience\nTime Series Data\nForecasting Analytics\nEconomic Research\nFinancial Data\nResearch Organizations\nTechnical Skills\nProgramming Languages\nPython\nR\nSQL\nJava (Preferred)\nScala (Preferred)\nJavaScript (Preferred)\nPerl (Preferred)\nDatabases\nPostgreSQL\nMicrosoft SQL Server\nMySQL\nNoSQL\nGraph Databases\nCloud\nAWS\nMicrosoft Azure\nSnowflake\nData Engineering\nETL / ELT\nApache Airflow\nPrefect\nDagster\nAWS Step Functions\nData Lakes\nData Warehouses\nChange Data Capture (CDC)\nDataOps\nCI/CD\nTools\nGitLab\nGitHub\nLinux\nWhy Join Diverse Agile Solutions?\nAt DAS, you'll work alongside highly skilled professionals supporting one of the nation's most respected financial institutions. You'll contribute to enterprise-scale modernization initiatives that directly support economic research and national financial policy.\nWe offer:\nChallenging, mission-critical projects\nCollaborative technical teams\nOpportunities to work with modern cloud and data technologies\nProfessional growth and career development\nCompetitive compensation\nWork Location\nOn-site\nFederal Reserve Board\nWashington, DC\nEqual Opportunity Employer\nDiverse Agile Solutions is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, sexual orientation, gender identity, or any other status protected by applicable law.\nBreezyHR Knockout Questions\nAre you a U.S. Citizen?\nAre you able to work 100% on-site in Washington, DC?\nDo you have at least 7 years of experience in Data Engineering or Data Architecture?\nHow many years of professional Python experience do you have?\nHow many years of advanced SQL development experience do you have?\nHave you designed enterprise ETL/ELT data pipelines?\nWhich cloud platforms have you used professionally? (AWS, Azure, Snowflake)\nHave you worked with Apache Airflow, Prefect, Dagster, or AWS Step Functions?\nHave you designed enterprise data warehouse or data lake solutions?\nDo you have experience supporting research, economic, or financial data environments?\nHave you worked with PostgreSQL, SQL Server, and MySQL?\nWhat is your earliest available start date?","company":"Diverseagilesolutions","rawCompany":"diverseagilesolutions","city":"Washington","state":"DC","isRemote":false,"isActive":false,"createdAt":"2026-08-04T19:26:47.651Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Sr. IT Big Data Developer","description":"TO-BH-3 Sr. IT Big Data Developer (Data Architect/Engineer)\nLocation: Washington, DC (100% On-site)\nClient: Federal Reserve Board (Division of Research & Statistics)\nEmployment Type: Full-Time Contract\nPeriod of Performance: July 27, 2026 – December 31, 2026 (Extension Possible)\nCitizenship Requirement: U.S. Citizenship Required\nAbout Diverse Agile Solutions\nDiverse Agile Solutions (DAS) is a certified Minority Business Enterprise (MBE) providing innovative IT consulting, cloud, cybersecurity, software engineering, and data analytics solutions to federal, state, and commercial organizations. Our team partners with government agencies to modernize enterprise technology, improve mission outcomes, and deliver exceptional customer service.\nAt DAS, we invest in talented professionals who thrive on solving complex technical challenges while making a meaningful impact.\nPosition Overview\nDiverse Agile Solutions is seeking a highly skilled Senior IT Big Data Developer (Data Architect/Engineer) to support the Federal Reserve Board's Data Architecture, Technology, and Analytics (DATA) organization within the Division of Research & Statistics.\nThe DATA team is responsible for transforming how economic research data is collected, managed, integrated, analyzed, and visualized across the organization.\nThis position is ideal for an experienced Data Architect and Data Engineer who enjoys designing scalable enterprise data platforms, building modern data pipelines, optimizing large-scale data processing systems, and supporting data-driven research initiatives.\nThe successful candidate will collaborate closely with economists, data scientists, researchers, and software engineers to design next-generation data architecture supporting critical economic policy research.\nKey Responsibilities\nDesign and implement scalable enterprise data architectures supporting research and analytics initiatives.\nDevelop, optimize, and maintain enterprise data pipelines and automated ETL/ELT workflows.\nDesign conceptual, logical, and physical data models.\nBuild highly scalable data processing frameworks capable of supporting large datasets.\nDevelop data integration solutions for structured and unstructured data sources.\nOptimize database performance across enterprise environments.\nDesign enterprise data lake and data warehouse solutions.\nImplement Change Data Capture (CDC) methodologies.\nDevelop workflow orchestration using tools such as Apache Airflow, Prefect, Dagster, or AWS Step Functions.\nSupport migration of data platforms between on-premises and cloud environments.\nPerform root cause analysis of data quality and business process issues.\nCollaborate with economists and technical teams to deliver trusted, high-quality data assets.\nDevelop software solutions supporting enterprise data services.\nParticipate in application testing, deployment, and production support.\nBuild and maintain CI/CD pipelines supporting DataOps initiatives.\nDocument architecture, standards, and technical designs.\nRecommend improvements to enterprise data strategy and governance.\nRequired Qualifications\nBachelor's degree in Computer Science, Information Technology, Engineering, or a related technical discipline.\nMinimum 7 years of professional experience in Data Engineering, Data Architecture, or Big Data Development.\nAdvanced experience developing complex SQL solutions.\nExtensive experience with relational databases including:\nPostgreSQL\nMicrosoft SQL Server\nMySQL\nAdvanced programming experience with:\nPython\nR\nExperience designing scalable enterprise data platforms.\nExperience building automated ETL/ELT pipelines.\nExperience developing scalable data processing solutions.\nExperience with GitLab and/or GitHub source control.\nExperience working in Linux environments.\nStrong software engineering background including development, testing, and deployment.\nExcellent written and verbal communication skills.\nStrong analytical and troubleshooting abilities.\nPreferred Qualifications\nExperience with one or more of the following technologies is highly desirable:\nData Engineering\nApache Airflow\nPrefect\nDagster\nAWS Step Functions\nCloud Platforms\nAmazon Web Services (AWS)\nMicrosoft Azure\nSnowflake\nEnterprise Data Technologies\nEnterprise Data Lakes\nData Warehouses\nCDC (Change Data Capture)\nDataOps\nCI/CD Pipelines\nBig Data\nDistributed Computing\nLarge Scale Data Processing\nHigh-Volume Data Optimization\nAdditional Technologies\nNoSQL Databases\nGraph Databases\nMachine Learning\nJava\nScala\nJavaScript\nPerl\nDomain Experience\nTime Series Data\nForecasting Analytics\nEconomic Research\nFinancial Data\nResearch Organizations\nTechnical Skills\nProgramming Languages\nPython\nR\nSQL\nJava (Preferred)\nScala (Preferred)\nJavaScript (Preferred)\nPerl (Preferred)\nDatabases\nPostgreSQL\nMicrosoft SQL Server\nMySQL\nNoSQL\nGraph Databases\nCloud\nAWS\nMicrosoft Azure\nSnowflake\nData Engineering\nETL / ELT\nApache Airflow\nPrefect\nDagster\nAWS Step Functions\nData Lakes\nData Warehouses\nChange Data Capture (CDC)\nDataOps\nCI/CD\nTools\nGitLab\nGitHub\nLinux\nWhy Join Diverse Agile Solutions?\nAt DAS, you'll work alongside highly skilled professionals supporting one of the nation's most respected financial institutions. You'll contribute to enterprise-scale modernization initiatives that directly support economic research and national financial policy.\nWe offer:\nChallenging, mission-critical projects\nCollaborative technical teams\nOpportunities to work with modern cloud and data technologies\nProfessional growth and career development\nCompetitive compensation\nWork Location\nOn-site\nFederal Reserve Board\nWashington, DC\nEqual Opportunity Employer\nDiverse Agile Solutions is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, sexual orientation, gender identity, or any other status protected by applicable law.\nBreezyHR Knockout Questions\nAre you a U.S. Citizen?\nAre you able to work 100% on-site in Washington, DC?\nDo you have at least 7 years of experience in Data Engineering or Data Architecture?\nHow many years of professional Python experience do you have?\nHow many years of advanced SQL development experience do you have?\nHave you designed enterprise ETL/ELT data pipelines?\nWhich cloud platforms have you used professionally? (AWS, Azure, Snowflake)\nHave you worked with Apache Airflow, Prefect, Dagster, or AWS Step Functions?\nHave you designed enterprise data warehouse or data lake solutions?\nDo you have experience supporting research, economic, or financial data environments?\nHave you worked with PostgreSQL, SQL Server, and MySQL?\nWhat is your earliest available start date?","datePosted":"2026-08-04T19:26:47.651Z","dateModified":"2026-08-04T19:26:47.651Z","hiringOrganization":{"@type":"Organization","name":"Diverseagilesolutions","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Washington","addressRegion":"DC","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"c2575d7bb104b4764036b3dd"},"url":"https://jobsearcher.com/jobs/c2575d7bb104b4764036b3dd"}}