Data Engineer

Booz Allen Hamilton

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Quick summary

Work type
On-site
Location
Colorado Springs, CO
Employment
Full-time
Posted
73 days ago
Freshness
Confirmed live today

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Salary context

How this pay compares to similar roles

Similar $169k
$116k $221k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $126,800–$211,200.

Based on 240 similar postings.

Employer

About Booz Allen Hamilton

Booz Allen Hamilton is a management and technology consulting firm that provides analytics, digital, engineering, and cybersecurity solutions primarily to U.S. government agencies and commercial clients. Industry: Management & Technology Consulting

Booz Allen Hamilton currently has 1744 open roles on FindRole.

Listed pay typically runs $86,800–$198,000 across 900 roles with salary data.

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At a glance

TL;DR · Data Engineer

JOB TITLE: Data Engineer The Data Engineer joins the team to build the foundational data infrastructure for USSPACECOM modeling, simulation, and analysis environments. This role involves designing, building, and deploying scalable data pipelines to ingest disparate, multi-domain, and multi-classification data sources, transforming them into clean, structured schemas for exercise planners and systems architects. The successful candidate will utilize object-oriented programming languages like Python, Java, C++, or C# alongside knowledge of database systems, data normalization, and ETL or ELT pipelines. Preferred skills include experience with APIs, Palantir Foundry, and modeling software like AFSIM or STK. The work focuses on providing high-fidelity simulations for space operations, requiring an understanding of simulation methodologies, Live, Virtual, Constructive environments, and domain-specific concepts like orbital mechanics or electronic warfare.

What does a Data Engineer earn?

Median $162000 from 202 postings across 58 companies.

See salary data

What you'll do

  • Design, build, and deploy scalable data pipelines for multi-domain and multi-classification data sources.
  • Transform disparate data sources into clean, structured schemas for modeling and analysis.
  • Build the foundational data infrastructure for modeling, simulation, and analysis environments.
  • Manage ETL and ELT processes to ensure high-fidelity data for simulations.
  • Design database systems and perform data normalization to support mission-critical models.
  • Integrate data pipelines using APIs to support multi-disciplinary teams.

What we're looking for

  • Experience with object-oriented programming languages such as Python, Java, C++, or C#.
  • Knowledge of database systems, designing data schemas, and data normalization.
  • Knowledge of ETL and ELT data pipelines.
  • Bachelor’s degree in Data Science, Data Engineering, Computer Science, Software Engineering, or a STEM field.
  • Experience using APIs to integrate data pipelines (preferred).
  • Experience with Palantir Foundry (preferred).
  • Knowledge of Modeling and Simulation software such as AFSIM and STK (preferred).
  • TS/SCI clearance.

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