Data Engineer

Role Overview

The Data Engineer is responsible for designing, developing, implementing, and maintaining the data architecture, pipelines, integrations, and data structures required to transform raw operational data into reliable, accessible, and analysis-ready information.

What You Will Do

Design logical and physical data models, develop data structures, evaluate existing data architectures, and support the design and implementation of data warehouses, data marts, data lakes, and other analytical data repositories.

Why It Might Be a Fit

The successful candidate should demonstrate strong analytical and problem-solving skills, ability to understand complex relationships among applications, databases, interfaces, and business processes, and ability to communicate technical concepts to both technical and nontechnical audiences.

Requirements

• Must be a U.S. Citizen
• Must be capable of receiving a Public Trust clearance level
• Must have verifiable accredited education
• Bachelor’s degree in Computer Science, Data Science, Information Systems, Software Engineering, Computer Engineering, Mathematics, Statistics, or a related technical discipline
• 3–5+ years of professional experience in data engineering, database development, software engineering, BI engineering, or a related technical discipline
• Demonstrated experience designing and developing ETL/ELT processes and data pipelines
• Strong experience with relational databases and SQL
• Experience integrating data from multiple heterogeneous sources
• Experience developing analytical data models, data warehouses, or similar repositories
• Experience troubleshooting data-quality and data-integration issues