Sr. IT Big Data Developer

Location: Washington, DC (100% On-site)
Client: Federal Reserve Board (Division of Research & Statistics)
Employment Type: Full-Time Contract
Period of Performance: July 27, 2026 – December 31, 2026 (Extension Possible)
Citizenship Requirement: U.S. Citizenship Required

Diverse 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.

At DAS, we invest in talented professionals who thrive on solving complex technical challenges while making a meaningful impact.

Diverse 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.

The DATA team is responsible for transforming how economic research data is collected, managed, integrated, analyzed, and visualized across the organization.

This 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.

The successful candidate will collaborate closely with economists, data scientists, researchers, and software engineers to design next-generation data architecture supporting critical economic policy research.

• Design and implement scalable enterprise data architectures supporting research and analytics initiatives.
• Develop, optimize, and maintain enterprise data pipelines and automated ETL/ELT workflows.
• Design conceptual, logical, and physical data models.
• Build highly scalable data processing frameworks capable of supporting large datasets.
• Develop data integration solutions for structured and unstructured data sources.
• Optimize database performance across enterprise environments.
• Design enterprise data lake and data warehouse solutions.
• Implement Change Data Capture (CDC) methodologies.
• Develop workflow orchestration using tools such as Apache Airflow, Prefect, Dagster, or AWS Step Functions.
• Support migration of data platforms between on-premises and cloud environments.
• Perform root cause analysis of data quality and business process issues.
• Collaborate with economists and technical teams to deliver trusted, high-quality data assets.
• Develop software solutions supporting enterprise data services.
• Participate in application testing, deployment, and production support.
• Build and maintain CI/CD pipelines supporting Data Ops initiatives.
• Document architecture, standards, and technical designs.
• Recommend improvements to enterprise data strategy and governance.

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related technical discipline.
• Minimum 7 years of professional experience in Data Engineering, Data Architecture, or Big Data Development.
• Advanced experience developing complex SQL solutions.
• Extensive experience with relational databases including:
  • PostgreSQL
  • Microsoft SQL Server
  • MySQL
• Advanced programming experience with:
  • Python
  • R
• Experience designing scalable enterprise data platforms.
• Experience building automated ETL/ELT pipelines.
• Experience developing scalable data processing solutions.
• Experience with Git Lab and/or Git Hub source control.
• Experience working in Linux environments.
• Strong software…