Mid Data Engineer

SteerBridge•Vienna, VA

1d•$12,000 - $135,000•Hybrid

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.

Requirements

Must be a U.S. Citizen.
Bachelor’s degree in computer science or related field, with a minimum of three (3) years of relevant work experience.
An active security clearance or the ability to obtain one is required.
Strong proficiency in Python and SQL
Hands-on experience with Pandas, PySpark, and AWS Glue
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.

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
Utilize AWS services (EventBridge, S3 Event Notifications) for workflow orchestration and scheduling
Use 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 software team and data scientists to support reporting and model development
Mentor junior engineers, providing technical guidance and peer reviews
Document data pipelines, standards, and data product specifications