Data Engineer – Senior

SteerBridge•Patuxent River, MD

9d•$146,000 - $161,000

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. General Program Overview: This program supports a U.S. Naval Aviation organization by delivering advanced data analytics, modeling, and decision-support capabilities that improve aircraft readiness, maintenance planning, and sustainment outcomes. The team works with complex, multi-source data to identify trends, forecast workload and cost drivers, and develop actionable insights that help leaders make better-informed operational and resource decisions. Work on this program spans data engineering, predictive analytics, logistics and sustainment analysis, and the development of dashboards and analytical tools used to improve mission readiness, reduce delays, and optimize long-term lifecycle costs across aviation platforms. Role Overview The Senior Data Engineer is responsible for designing, building, and maintaining data pipelines and repositories that enable advanced analytics and decision-making. This role ensures data availability, integrity, and automation across complex enterprise systems.

Requirements

Bachelor’s degree (BA/BS) in a related technical field
15+ years of professional experience
SME-level expertise in data engineering, integration, and automation
U.S. citizenship
Ability to obtain and maintain a Tier 3 investigation
Experience handling sensitive or controlled data environments

Responsibilities

Identify and integrate data sources needed to support analytical and business questions
Design and maintain automated data pipelines and repositories
Ensure data quality, update frequency, and reliability
Support analysts and stakeholders by making data accessible and actionable
Lead or oversee data engineering activities and best practices
Support enterprise-scale data architecture initiatives