Data Engineer
Data Engineer – Data Science Services Please note: This role is contingent upon a contract award.
Data Engineer – Data Science Services
Please note: This role is contingent upon a contract award. While it is not an immediate opening, we are actively conducting interviews and extending offers in anticipation of the award.
Overview
We are seeking a Data Engineer to support federal government trade, analytics, and mission transformation priorities by designing, developing, integrating, and maintaining data solutions that enable advanced analytics, business intelligence, reporting, and machine learning across complex data environments. This role will support the development of analytical solutions, databases, data pipelines, cloud platforms, and data architectures that help transform high-volume data into actionable insights for government stakeholders.
The ideal candidate brings hands-on experience with data engineering, cloud-based data platforms, relational databases, data warehousing, data acquisition, data integration, and secure analytical solution development. This role requires a technical contributor who can analyze customer requirements, recommend efficient data solutions, support organization-wide data models, and work closely with data scientists, analysts, architects, developers, and project managers to deliver reliable, scalable, and mission-focused data capabilities.
Location
This role will primarily support work in the Washington, DC Metro area, with work expected at or near the client site in Ashburn, VA as required by the contract. Telework may be permitted only with prior government approval.
Security Requirement
Must be a U.S. Citizen with a recent DHS Public Trust, DoD Secret, or DoD Top Secret clearance, and must be able to obtain and maintain a CBP background investigation or other required government suitability determination.
What You Will Do
Design, develop, and maintain analytical solutions, databases, data pipelines, and data processing workflows that support advanced analytics, reporting, visualization, and machine learning
Develop specifications for efficient database and data engineering solutions that meet stakeholder, analytical, operational, security, and performance requirements
Support evaluation and selection of data platforms, tools, and technical solutions that meet customer requirements and align with enterprise architecture standards
Perform functional and data requirements analysis and translate requirements into scalable data engineering designs and implementation plans
Ingest, transform, integrate, validate, and prepare structured and unstructured data from multiple internal and external sources
Design, build, and optimize relational databases, data warehouses, data marts, and other data storage or processing solutions
Develop and maintain strategies for data warehouse implementation, data acquisition, data access, data archiving, and recovery
Posted July 27, 2026