{"schemaVersion":"jobsearcher.job.v1","id":"e9a5bd3d4b0d66cc8bc84a7c","url":"https://jobsearcher.com/jobs/e9a5bd3d4b0d66cc8bc84a7c","canonicalUrl":"https://jobsearcher.com/jobs/e9a5bd3d4b0d66cc8bc84a7c","title":"Senior IT Data Engineer","description":"TO-BH – Senior IT Data Engineer\nLocation: Washington, DC (100% On-Site)\nEmployment Type: Full-Time, Contract\nClient: Federal Reserve Board (FRB)\nPeriod of Performance: July 27, 2026 – December 31, 2026 (with potential extension)\nCitizenship: U.S. Citizenship Required\nAbout Diverse Agile Solutions\nDiverse Agile Solutions (DAS) is a certified MBE, SBE, and DBE technology consulting firm delivering innovative IT solutions to federal, state, and commercial organizations. Our expertise spans Data Engineering, Cloud Computing, Cybersecurity, DevSecOps, Artificial Intelligence, Agile Transformation, and IT Staff Augmentation.\nAt DAS, we partner with organizations to modernize technology, accelerate digital transformation, and deliver mission-critical solutions that create lasting business value.\nPosition Overview\nDiverse Agile Solutions is seeking a highly experienced Senior IT Data Engineer to support the Federal Reserve Board's Division of Research & Statistics (R&S) within the Data Architecture, Technology, and Analytics (DATA) organization.\nThis individual will play a critical role in transforming how enterprise data is ingested, modeled, organized, processed, and delivered across research and economic policy teams. The ideal candidate combines deep technical expertise in data engineering, enterprise data architecture, and cloud technologies with a passion for building scalable, high-performance data platforms.\nThis position requires an experienced professional who enjoys designing modern data architectures, optimizing complex data pipelines, and enabling advanced analytics for mission-critical research initiatives.\nKey Responsibilities\nDesign, develop, and maintain enterprise-scale data architectures supporting research and analytics initiatives.\nBuild and optimize scalable ETL/ELT pipelines for structured and unstructured data.\nDevelop high-performance data integration solutions across multiple enterprise platforms.\nDesign logical and physical data models supporting enterprise information architecture.\nBuild scalable databases, data lakes, and enterprise data platforms.\nOptimize database performance and large-scale data processing environments.\nDesign workflow automation using orchestration platforms such as Apache Airflow, Prefect, Dagster, or AWS Step Functions.\nDevelop and maintain cloud-based data engineering solutions within AWS and Azure environments.\nMigrate data pipelines between on-premises and cloud infrastructures.\nSupport economists, researchers, and technical teams with reliable, high-quality data solutions.\nPerform root cause analysis of data quality issues and recommend long-term improvements.\nDevelop CI/CD pipelines supporting DataOps and automated deployment practices.\nCollaborate with cross-functional teams to improve enterprise data governance and operational efficiency.\nDesign scalable data processing frameworks capable of supporting large analytical workloads.\nDocument enterprise data architecture, data lineage, and technical designs.\nParticipate in code reviews, testing, deployment, and continuous improvement activities.\nRequired Qualifications\nBachelor's degree in Computer Science, Information Technology, Engineering, or a related technical discipline.\nMinimum of 7 years of professional experience in Data Engineering, Data Architecture, or related disciplines.\nAdvanced knowledge of SQL and relational database platforms including:\nPostgreSQL\nMicrosoft SQL Server\nMySQL\nAdvanced programming experience with:\nPython\nR\nData engineering scripting languages\nExtensive experience designing scalable data architectures.\nStrong experience developing ETL/ELT pipelines.\nExperience building enterprise data integration solutions.\nExperience with workflow orchestration technologies including:\nApache Airflow\nPrefect\nDagster\nAWS Step Functions\nExperience processing structured and unstructured datasets.\nExperience with Linux development environments.\nExperience using GitLab and/or GitHub source control.\nStrong understanding of enterprise information architecture principles.\nExcellent analytical, troubleshooting, and problem-solving skills.\nOutstanding written and verbal communication skills.\nAbility to work independently while supporting multiple technical teams.\nPreferred Qualifications\nCandidates possessing one or more of the following will be highly preferred:\nMaster's degree in Computer Science or related field\nExperience supporting Federal Government agencies\nExperience working with economic or financial data\nExperience within research organizations\nExperience with time-series data analysis\nExperience implementing enterprise data lakes\nExperience with NoSQL databases\nExperience with Graph databases\nExperience developing Machine Learning models\nExperience implementing Change Data Capture (CDC)\nExperience building enterprise Data Warehouse solutions\nExperience implementing CI/CD pipelines for DataOps\nExperience with Snowflake\nExperience with AWS Cloud\nExperience with Microsoft Azure\nExperience with Java\nExperience with Scala\nExperience with JavaScript\nExperience with Perl\nTechnical Environment\nPython\nSQL\nPostgreSQL\nMicrosoft SQL Server\nMySQL\nAWS\nAzure\nSnowflake\nApache Airflow\nPrefect\nDagster\nAWS Step Functions\nGitLab\nGitHub\nLinux\nData Lakes\nETL\nELT\nData Warehousing\nCDC\nMachine Learning\nNoSQL\nGraph Databases\nCI/CD\nDataOps\nWhy Join Diverse Agile Solutions?\nAt Diverse Agile Solutions, you'll work alongside talented professionals supporting some of the nation's most important technology modernization initiatives.\nWe offer:\nChallenging Federal technology projects\nOpportunities to work with emerging cloud and data technologies\nCollaborative Agile teams\nProfessional growth and technical development\nCompetitive compensation\nOpportunity to support mission-critical research and analytics\nWork Location\n100% On-Site\nWashington, DC\nEqual Opportunity Employer\nDiverse Agile Solutions is proud to be an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive workplace for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, protected veteran status, or any other characteristic protected by law.","company":"Diverseagilesolutions","rawCompany":"diverseagilesolutions","city":"Washington","state":"DC","isRemote":false,"isActive":false,"createdAt":"2026-08-04T19:26:47.652Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-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":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior IT Data Engineer","description":"TO-BH – Senior IT Data Engineer\nLocation: Washington, DC (100% On-Site)\nEmployment Type: Full-Time, Contract\nClient: Federal Reserve Board (FRB)\nPeriod of Performance: July 27, 2026 – December 31, 2026 (with potential extension)\nCitizenship: U.S. Citizenship Required\nAbout Diverse Agile Solutions\nDiverse Agile Solutions (DAS) is a certified MBE, SBE, and DBE technology consulting firm delivering innovative IT solutions to federal, state, and commercial organizations. Our expertise spans Data Engineering, Cloud Computing, Cybersecurity, DevSecOps, Artificial Intelligence, Agile Transformation, and IT Staff Augmentation.\nAt DAS, we partner with organizations to modernize technology, accelerate digital transformation, and deliver mission-critical solutions that create lasting business value.\nPosition Overview\nDiverse Agile Solutions is seeking a highly experienced Senior IT Data Engineer to support the Federal Reserve Board's Division of Research & Statistics (R&S) within the Data Architecture, Technology, and Analytics (DATA) organization.\nThis individual will play a critical role in transforming how enterprise data is ingested, modeled, organized, processed, and delivered across research and economic policy teams. The ideal candidate combines deep technical expertise in data engineering, enterprise data architecture, and cloud technologies with a passion for building scalable, high-performance data platforms.\nThis position requires an experienced professional who enjoys designing modern data architectures, optimizing complex data pipelines, and enabling advanced analytics for mission-critical research initiatives.\nKey Responsibilities\nDesign, develop, and maintain enterprise-scale data architectures supporting research and analytics initiatives.\nBuild and optimize scalable ETL/ELT pipelines for structured and unstructured data.\nDevelop high-performance data integration solutions across multiple enterprise platforms.\nDesign logical and physical data models supporting enterprise information architecture.\nBuild scalable databases, data lakes, and enterprise data platforms.\nOptimize database performance and large-scale data processing environments.\nDesign workflow automation using orchestration platforms such as Apache Airflow, Prefect, Dagster, or AWS Step Functions.\nDevelop and maintain cloud-based data engineering solutions within AWS and Azure environments.\nMigrate data pipelines between on-premises and cloud infrastructures.\nSupport economists, researchers, and technical teams with reliable, high-quality data solutions.\nPerform root cause analysis of data quality issues and recommend long-term improvements.\nDevelop CI/CD pipelines supporting DataOps and automated deployment practices.\nCollaborate with cross-functional teams to improve enterprise data governance and operational efficiency.\nDesign scalable data processing frameworks capable of supporting large analytical workloads.\nDocument enterprise data architecture, data lineage, and technical designs.\nParticipate in code reviews, testing, deployment, and continuous improvement activities.\nRequired Qualifications\nBachelor's degree in Computer Science, Information Technology, Engineering, or a related technical discipline.\nMinimum of 7 years of professional experience in Data Engineering, Data Architecture, or related disciplines.\nAdvanced knowledge of SQL and relational database platforms including:\nPostgreSQL\nMicrosoft SQL Server\nMySQL\nAdvanced programming experience with:\nPython\nR\nData engineering scripting languages\nExtensive experience designing scalable data architectures.\nStrong experience developing ETL/ELT pipelines.\nExperience building enterprise data integration solutions.\nExperience with workflow orchestration technologies including:\nApache Airflow\nPrefect\nDagster\nAWS Step Functions\nExperience processing structured and unstructured datasets.\nExperience with Linux development environments.\nExperience using GitLab and/or GitHub source control.\nStrong understanding of enterprise information architecture principles.\nExcellent analytical, troubleshooting, and problem-solving skills.\nOutstanding written and verbal communication skills.\nAbility to work independently while supporting multiple technical teams.\nPreferred Qualifications\nCandidates possessing one or more of the following will be highly preferred:\nMaster's degree in Computer Science or related field\nExperience supporting Federal Government agencies\nExperience working with economic or financial data\nExperience within research organizations\nExperience with time-series data analysis\nExperience implementing enterprise data lakes\nExperience with NoSQL databases\nExperience with Graph databases\nExperience developing Machine Learning models\nExperience implementing Change Data Capture (CDC)\nExperience building enterprise Data Warehouse solutions\nExperience implementing CI/CD pipelines for DataOps\nExperience with Snowflake\nExperience with AWS Cloud\nExperience with Microsoft Azure\nExperience with Java\nExperience with Scala\nExperience with JavaScript\nExperience with Perl\nTechnical Environment\nPython\nSQL\nPostgreSQL\nMicrosoft SQL Server\nMySQL\nAWS\nAzure\nSnowflake\nApache Airflow\nPrefect\nDagster\nAWS Step Functions\nGitLab\nGitHub\nLinux\nData Lakes\nETL\nELT\nData Warehousing\nCDC\nMachine Learning\nNoSQL\nGraph Databases\nCI/CD\nDataOps\nWhy Join Diverse Agile Solutions?\nAt Diverse Agile Solutions, you'll work alongside talented professionals supporting some of the nation's most important technology modernization initiatives.\nWe offer:\nChallenging Federal technology projects\nOpportunities to work with emerging cloud and data technologies\nCollaborative Agile teams\nProfessional growth and technical development\nCompetitive compensation\nOpportunity to support mission-critical research and analytics\nWork Location\n100% On-Site\nWashington, DC\nEqual Opportunity Employer\nDiverse Agile Solutions is proud to be an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive workplace for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, protected veteran status, or any other characteristic protected by law.","datePosted":"2026-08-04T19:26:47.652Z","dateModified":"2026-08-04T19:26:47.652Z","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":"e9a5bd3d4b0d66cc8bc84a7c"},"url":"https://jobsearcher.com/jobs/e9a5bd3d4b0d66cc8bc84a7c"}}