Data Engineer

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.

About the Role

SteerBridge Strategies is seeking a Data Engineer to support aviation analytics and aircraft readiness initiatives at Marine Corps Air Station Beaufort. This position will focus on building and maintaining data pipelines, supporting cloud-based data environments, and ensuring high-quality data is available for analytics and operational decision-making. The ideal candidate has strong SQL and Python skills, experience working with ETL processes, and a background supporting cloud-based data solutions. Key Responsibilities Data Engineering & Pipeline Development Design, develop, and maintain ETL/ELT pipelines and data workflows Build and optimize processes for collecting, transforming, and loading data Support data integration across multiple systems and data sources Ensure reliable and scalable data solutions for analytics initiatives Database Management Write, optimize, and maintain SQL queries Manage and support relational databases and data warehouses Troubleshoot data issues and improve overall data performance Cloud & Data Platform Support Support cloud-based data environments using AWS or Azure Work with modern data platforms and tools to improve data accessibility and efficiency Assist with data storage, transformation, and pipeline optimization Data Quality & Automation Monitor and validate data quality and integrity Automate recurring data processes and workflows Identify and resolve data inconsistencies and processing issues