Data Engineer-Mid

SteerBridge•Vienna, VA

6d•$82,000 - $92,000

About The Position

SteerBridge Strategies is a modern technology company delivering innovative, mission‑focused solutions to the U.S. Government and private sector. Leveraging deep expertise in federal acquisition, digital transformation, and emerging technologies, we deliver agile, commercial‑grade capabilities that accelerate operational effectiveness and drive measurable mission success. At the core of SteerBridge is our people—especially the veterans whose leadership, problem‑solving mindset, and commitment to excellence elevate every project we support. We don’t simply hire exceptional talent; we cultivate it , creating meaningful career pathways for veterans, military spouses, and professionals who share our passion for advancing technology and strengthening the missions we serve. SteerBridge Strategies is seeking a Data Engineer to support the Department of Veterans Affairs (VA) under the Modern Disability Claims (MDC) initiative . This program focuses on modernizing the VA’s claims processing systems—enhancing accuracy, efficiency, and timeliness through the effective use of data. As a Data Engineer, you will support the development and maintenance of ETL pipelines, data transformation workflows, and cloud-based data architectures that enable reliable and accessible data for analytics and operational decision-making. You will work closely with senior engineers, analysts, and data scientists to improve data ingestion, transformation, and integration across multiple VA systems of record, helping to advance the VA’s transition toward a modern data infrastructure that improves outcomes for Veterans and their families.

Requirements

U.S. Citizenship required.
Bachelor’s degree in Computer Science, Information Systems, or related field.
Public Trust required or ability to obtain.
3+ years of professional experience in data engineering, data integration, or data platform development.
Strong proficiency in Python and SQL for data transformation and automation.
Experience with ETL frameworks and data pipeline development.
Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
Understanding of data modeling, data warehousing, and distributed data processing concepts.
Experience working with large datasets and enterprise data systems.

Nice To Haves

Experience supporting federal government or healthcare data systems .
Familiarity with data warehousing platforms such as Snowflake, Redshift, or BigQuery .
Experience with workflow orchestration tools such as Apache Airflow .
Exposure to data governance, compliance, and security practices in regulated environments .

Responsibilities

Develop and maintain ETL pipelines supporting structured and semi-structured data ingestion and transformation.
Support batch and real-time data workflows across enterprise data platforms.
Work with large datasets to identify patterns, trends, and data quality issues.
Build and maintain data transformation processes using Python, SQL, and modern data engineering tools.
Support workflow orchestration and scheduling using tools such as Apache Airflow or similar technologies.
Perform data quality checks, data linkage, and integration across multiple data sources.
Collaborate with cross-functional teams including data scientists, analysts, and system engineers.
Assist in the development of data models and optimized data structures for analytics and reporting.
Maintain documentation for data pipelines, workflows, and data architecture.
Contribute to cloud-based data environments supporting scalable and secure data operations.