Data Engineer

Booz Allen Hamilton•Colorado Springs, CO

12d•$61,900 - $141,000•Remote

About The Position

Achieving data dominance provides a critical competitive advantage, especially in the frontier of space. For USSPACECOM, high-fidelity simulations rely entirely on the quality, speed, and structure of underlying data. We need a dedicated data engineer to build the robust data infrastructure that makes these advanced simulations possible. As a data engineer at Booz Allen, you will focus on the foundational layer of our customer’s modeling, simulation, and analysis environment. You will design, build, and deploy the scalable data pipelines that ingest disparate, multi-domain, and multi-classification data sources and transform them into clean, structured schemas. Your work will directly empower our multi-disciplinary team of exercise planners, systems architects, data scientists, and model-based system engineers to draw insights and execute mission-critical models. Work with us to build the data foundation for the future of space operations. Join us. The world can’t wait.

Requirements

Experience in object-oriented programming such as Python, Java, or C++ and advanced SQL
Experience integrating APIs, designing data schemas, and normalizing complex, disparate datasets
Knowledge of database systems and data warehousing principles
Ability to design, build, and maintain robust ETL/ELT data pipelines at scale
TS/SCI clearance
Bachelor’s degree in Computer Science, Data Engineering, Software Engineering, or a STEM field

Nice To Haves

Experience with infrastructure-as-code (IaC) and automation scripts
Experience integrating with Palantir Foundry or similar enterprise data fabrics
Experience with streaming data processing such as Apache Kafka or Spark
Experience working in an Agile engineering environment and supporting MLOps pipelines
Master’s degree in a quantitative or systems-focused STEM field