Data Engineer

FedWriters, Inc.•Arlington, MA

12d•$115,000 - $125,000•Hybrid

About The Position

FWI is hiring a Data Engineer to support enterprise data analytics and AI/ML modernization for the National Guard Bureau, part of a larger Office of the Under Secretary of War for Personnel and Readiness (OUSW(P&R)) data analytics program. You will design, build, and maintain the data infrastructure behind a National Guard community data and analytics environment, the pipelines, models, and governance that make enterprise personnel and readiness data usable. This is hands-on pipeline engineering at enterprise scale, on a platform where data quality has direct operational consequences. FWI is expanding rapidly and has been recognized as a 2024, 2025, and 2026 Top Workplace, offering excellent growth opportunities in a collaborative environment.

Requirements

Active DoD Secret clearance (final, in current scope)
Bachelor's or Master's degree in a related field
3+ years of directly related experience as a Data Engineer
Proficiency in ETL processes, with firsthand experience across technologies such as Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks
Demonstrated experience working with large datasets and using big data technologies to process and analyze data efficiently
Working understanding of data modeling and visualization, database design principles, and data governance practice
Based in the National Capital Region, or willing to relocate, and able to report to the Arlington site as needed
U.S. citizenship (required for the clearance)

Nice To Haves

Experience supporting the Department of War mission and familiarity with its associated datasets
Prior work in Advana or the War Data Platform
API development and integration experience
Experience with machine learning models and/or generative AI
Experience building in Palantir Foundry, including Workshop, Ontology Manager, and Gaia

Responsibilities

Design, develop, and implement end-to-end data pipelines using ETL processes and technologies including Databricks, Python, Spark, Scala, JavaScript/JSON, and SQL
Build and optimize pipelines from scratch, with scalability, reliability, and high-performance processing as first-order requirements
Work with cross-functional teams to understand data requirements and design the data models and architectures to meet them
Perform data cleansing, integration, and quality assurance to maintain the accuracy and integrity of large datasets
Apply big data technologies to process and analyze large datasets efficiently
Partner with data scientists, analysts, and government stakeholders to deliver timely, accurate data that supports decision-making
Troubleshoot complex data problems and develop practical solutions
Implement and enforce data governance policies and procedures, ensuring compliance with regulatory requirements and industry best practice