Data Engineer

Booz Allen Hamilton

Confirmed live today Low trust

Quick summary

Work type
On-site
Location
Chantilly, VAAurora, CO
Employment
Full-time
Posted
67 days ago
Freshness
Confirmed live today
Closes
Nov 19, 2026

Market check

Salary context

How this pay compares to similar roles

Similar $168k
$116k $218k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $126,800–$208,293.

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 1662 open roles on FindRole.

Listed pay typically runs $86,800–$198,000 across 904 roles with salary data.

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At a glance

TL;DR · Data Engineer

Data Engineer As a Data Engineer, you will join a multi-disciplinary team of engineers, developers, and data consumers to implement data engineering activities on mission-driven projects. You will deploy and develop pipelines and platforms that organize disparate data into meaningful formats. Your daily responsibilities include data acquisition, data preparation, and database architecture. You will design, implement, containerize, and deploy end-to-end automated data and ML pipelines within a cloud environment. Required technical skills include ETL development using Java, Python, SQL, or Scala, along with AWS services and knowledge of the ML lifecycle to develop an MLOps ecosystem. Preferred experience includes Kafka, NiFi, Terraform, Ansible, and real-time streaming applications. This role solves the technical problem of organizing big data from diverse sources to yield pivotal insights.

What does a Data Engineer earn in Virginia?

Median $155450 from 67 postings across 8 companies.

See salary data

What you'll do

  • Deploy and develop data pipelines to organize disparate data sources.
  • Implement data engineering activities for mission-driven projects.
  • Develop ETL processes using Java, Python, SQL, or Scala.
  • Design and implement end-to-end automated data and ML pipelines.
  • Containerize and deploy data pipelines within a Cloud environment.
  • Develop an MLOps ecosystem based on ML lifecycle concepts.
  • Manage data acquisition, preparation, and database architecture.

What we're looking for

  • Top Secret clearance.
  • Experience with data pipelines, including data acquisition, data prep, and database architecture.
  • Experience with ETL development using Java, Python, SQL, or Scala.
  • Experience with AWS services.
  • Experience designing, containerizing, and deploying end-to-end automated data and ML pipelines in a Cloud environment.
  • Knowledge of the ML lifecycle and concepts to develop an MLOps ecosystem.
  • Experience with Kafka, NiFi, Terraform, Ansible, Agile, real-time data, or analytical skills (preferred).
  • Bachelor’s degree.

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