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# Data Engineer (2/3)- Secret Clearance - Norfolk Va

- **Company:** Spatialgis, L.L.C.
- **Location:** Norfolk, VA, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Query Performance, Big Data, Computer Programming, Databases, Data Governance, Extract Transform Load (ETL), Data Security, Data Systems, Data Warehousing, Python (Programming Language), Machine Learning, Apache Maven, Performance Tuning, SQL Databases, SC Clearance, Qlikview, Data Pipelines, Databricks
- **Published:** September 18, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=ef4f4ec1d5b56fbe

## About the Role

Security Clearance: Active DoD Secret clearance (or higher) required.

Experience: 3+ years of professional experience, including designing, developing, and automating ETL/ELT pipelines.

Technical Proficiency: Strong programming and querying skills in SQL, Python, and/or Scala.

Core Knowledge: Familiarity with BI tools, cloud platforms, big data technologies, data modeling, warehousing, and lakehouse architectures (along with data optimization and governance best practices).

Soft Skills: Excellent problem-solving, communication, and collaboration skills for working effectively across cross-functional teams.

Work Arrangement: Comfortable working onsite full-time with up to 15% travel, primarily to Scott AFB (O'Fallon, IL) and/or MacDill AFB (Tampa, FL)., Bachelor's degree in a related STEM or technical field from an accredited college or university.

Prior hands-on experience with USTRANSCOM systems, Qlik, the Advana tool suite, Maven Smart System, and/or Databricks.

## Description

We are looking for a skilled Data Engineer (Level 2-3) to design, build, and evolve scalable data pipelines that power advanced analytics, reporting, and machine learning initiatives. In this role, you will develop and manage robust ETL/ELT workflows to efficiently ingest, transform, and deliver high-quality data across platforms.

You will architect and maintain modern data models, warehouses, and lakehouse environments while championing data governance, security, and compliance. Operating in a dynamic environment, you will partner closely with data scientists, analysts, and engineers to translate complex business needs into reliable, high-performance data solutions.

Note: This position requires working onsite full-time with occasional travel (up to 15% of the time), primarily to Scott AFB in O'Fallon, IL, and/or MacDill AFB in Tampa, FL.

Key Responsibilities

Pipeline Engineering: Design, build, and automate scalable data pipelines and ETL/ELT workflows to ingest, transform, and deliver data across platforms.

Architecture & Modeling: Architect and maintain robust data models, data warehouses, and lakehouse environments to support growing analytics and machine learning needs.

Performance Optimization: Continuously optimize database and query performance, implementing partitioning, indexing, and other scaling strategies for fast, reliable data access.

Governance & Quality: Ensure data accuracy, consistency, integrity, and compliance through strong governance practices, validation frameworks, and security standards.

Monitoring & Automation: Proactively monitor, troubleshoot, and strengthen production pipeline reliability while driving automation to reduce manual effort.

Cross-Functional Collaboration: Partner with data scientists, analysts, and engineers to deliver actionable data solutions aligned with mission objectives.