Senior Data Engineer

SteerBridge•Vienna, VA

35d•$115,000 - $126,000

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 Senior Data Engineers to support the Department of Veterans Affairs (VA) Modern Disability Claims. This initiative focuses on modernizing claims processing systems to improve accuracy, efficiency, and timeliness of services delivered to veterans. As a Senior Data Engineer, you will take a leading role in the design, development, and optimization of scalable ETL pipelines, data lakes, and Retrieval. You will work collaboratively with cross-functional teams to ensure data integrity, build automated workflows, and support compliance reporting and analytics capabilities.

Requirements

Must be a U.S. Citizen.
Bachelor’s degree in computer science or related field, with a minimum of seven (7) years of relevant work experience.
An active or the ability to obtain one is required.
Deep understanding of ETL frameworks, data lake design, and cloud-based architecture
Hands-on experience with cloud services including AWS Glue, Lambda, RDS, and SageMaker, or their equivalents in other cloud environments
Deep understanding of ETL frameworks, data lake design, and cloud-based architecture
Familiarity with real-time and batch data processing tools and methodologies
Experience with data governance, security compliance, and maintaining data quality standards. Employees in this role are responsible for safeguarding sensitive information and must adhere to all organizational security and privacy policies, ensuring the protection, proper handling, and confidentiality of data at all times.
Strong proficiency in Python and SQL

Responsibilities

Build, optimize, and maintain batch and real-time data ingestion pipelines
Lead design and implementation of scalable ETL processes across complex, distributed systems
Develop and manage data lake architecture for structured and unstructured data
Design and author custom feature extraction and validation systems in Python
Use AWS Lambda, AWS Glue, Python, and SQL to transform and prepare data for downstream consumption
Ensure data quality, lineage, governance, and compliance across all systems
Work closely with VA stakeholders and data scientists to support reporting and model development
Mentor mid-level and junior engineers, providing technical guidance and peer reviews
Document data pipelines, standards, and data product specifications