Data Engineer

Booz Allen Hamilton•Colorado Springs, CO

8d•$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 with object-oriented programming languages such as Python, Java, or C++, or C#
Knowledge of database systems, designing data schemas, and data normalization
Knowledge of ETL and ELT data pipelines
TS/SCI clearance
Bachelor’s degree in Data Science, Data Engineering, Computer Science, Software Engineering, or a STEM field

Nice To Haves

Experience using APIs to integrate data pipelines
Experience with Palantir Foundry
Knowledge of Modeling and Simulation software such as AFSIM and STK
Knowledge of simulation methodologies and Live, Virtual, Constructive (LVC) environments
Knowledge of the space domain, space operations, physics, orbital mechanics, or electronic warfare
Master’s degree in a STEM field

Responsibilities

Design, build, and deploy scalable data pipelines that ingest disparate, multi-domain, and multi-classification data sources.
Transform data into clean, structured schemas.
Focus on the foundational layer of the customer’s modeling, simulation, and analysis environment.