Senior Financial Data Engineer Jobs in Washington

Location: Washington, DC (100% On-Site)
Employment Type: Full-Time, Contract
Client: Federal Reserve Board (FRB)
Period of Performance: July 27, 2026 - December 31, 2026 (with potential extension)
Citizenship: U.S. Citizenship Required

Diverse 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.

At DAS, we partner with organizations to modernize technology, accelerate digital transformation, and deliver mission-critical solutions that create lasting business value.

Diverse 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.

This 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.

This position requires an experienced professional who enjoys designing modern data architectures, optimizing complex data pipelines, and enabling advanced analytics for mission-critical research initiatives.

• Design, develop, and maintain enterprise-scale data architectures supporting research and analytics initiatives.
• Build and optimize scalable ETL/ELT pipelines for structured and unstructured data.
• Develop high-performance data integration solutions across multiple enterprise platforms.
• Design logical and physical data models supporting enterprise information architecture.
• Build scalable databases, data lakes, and enterprise data platforms.
• Optimize database performance and large-scale data processing environments.
• Design workflow automation using orchestration platforms such as Apache Airflow, Prefect, Dagster, or AWS Step Functions.
• Develop and maintain cloud-based data engineering solutions within AWS and Azure environments.
• Migrate data pipelines between on-premises and cloud infrastructures.
• Support economists, researchers, and technical teams with reliable, high-quality data solutions.
• Perform root cause analysis of data quality issues and recommend long-term improvements.
• Develop CI/CD pipelines supporting DataOps and automated deployment practices.
• Collaborate with cross-functional teams to improve enterprise data governance and operational efficiency.
• Design scalable data processing frameworks capable of supporting large analytical workloads.
• Document enterprise data architecture, data lineage, and technical designs.
• Participate in code reviews, testing, deployment, and continuous improvement activities.

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related technical discipline.
• Minimum of 7 years of professional experience in Data Engineering, Data Architecture, or related disciplines.
• Advanced knowledge of SQL and relational database platforms including:
  • PostgreSQL
  • Microsoft SQL Server
  • MySQL
• Advanced programming experience with:
  • Python
  • R
  • Data engineering scripting languages
• Extensive experience designing scalable data architectures.
• Strong experience developing ETL/ELT pipelines.
• Experience building enterprise data integration solutions.
• Experience with workflow orchestration technologies including:
  • Apache Airflow
  • Prefect
  • Dagster
  • AWS Step Functions
• Experience processing structured and unstructured datasets.
• Experience with Linux development environments.
• Experience using GitLab and/or GitHub source control.
• Strong understanding of enterprise information architecture principles.
• Excellent analytical, troubleshooting, and problem-solving skills.
• Outstanding written and verbal communication skills.
• Ability to work independently while supporting multiple technical teams.

Candidates possessing one or more of the following will be highly preferred:

• Master's degree in Computer Science or related field
• Experience supporting Federal Government agencies
• Experience working with economic or financial data
• Experience within research organizations
• Experience with time-series data analysis
• Experience implementing enterprise data lakes
• Experience with NoSQL databases
• Experience with Graph databases
• Experience developing Machine Learning models
• Experience implementing Change Data Capture (CDC)
• Experience building enterprise Data Warehouse solutions
• Experience implementing CI/CD pipelines for DataOps
• Experience with Snowflake
• Experience with AWS Cloud
• Experience with Microsoft Azure
• Experience with Java
• Experience with Scala
• Experience with JavaScript
• Experience with Perl

• Python
• SQL
• PostgreSQL
• Microsoft SQL Server
• MySQL
• AWS
• Azure
• Snowflake
• Apache Airflow
• Prefect
• Dagster
• AWS Step Functions
• GitLab
• GitHub
• Linux
• Data Lakes
• ETL
• ELT
• Data Warehousing
• CDC
• Machine Learning
• NoSQL
• Graph Databases
• CI/CD
• DataOps

At Diverse Agile Solutions, you'll work alongside talented professionals supporting some of the nation's most important technology modernization initiatives.

We offer:

• Challenging Federal technology projects
• Opportunities to work with emerging cloud and data technologies
• Collaborative Agile teams
• Professional growth and technical development
• Competitive compensation
• Opportunity to support mission-critical research and analytics

100% On-Site

Washington, DC

Diverse 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.