Data Engineer

Booz Allen Hamilton

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Quick summary

Work type
On-site
Location
Fort Belvoir, VA
Salary
$77,600–$176,000 / yr
Employment
Full-time
Posted
10 days ago
Freshness
Confirmed live today

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $168k
This role $127k
$62k $225k
below market most similar roles pay here above market

This role pays less than 70% of similar roles. Most pay $126,800–$209,400 — the blue band above. At the midpoint, this role pays about $127k versus about $168k for comparable roles.

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.

Most-posted roles

View all roles at Booz Allen Hamilton

At a glance

TL;DR · Data Engineer

JOB TITLE: Data Engineer As a senior Data Engineer, you will join a team to design and build scalable data platforms and pipelines that power critical outcomes. You will lead technical efforts across assessment, design, development, and sustainment while mentoring teammates in a fast-paced agile environment. Your daily responsibilities include developing secure Python for data processing, migrating data from on-premises systems to the cloud, and implementing CI/CD pipelines to automate workflows. You will also write SQL scripts, stored procedures, and data models while supporting data governance and metadata tagging. This role addresses the challenge of turning large volumes of structured and unstructured data into actionable insights within a complex enterprise environment. You must possess a TS/SCI clearance and experience supporting large-scale enterprise systems.

What does a Data Engineer earn in Virginia?

Median $155450 from 67 postings across 8 companies.

See salary data

What you'll do

  • Design, build, and maintain scalable data pipelines and platforms.
  • Develop secure Python code for data processing, automation, and warehousing.
  • Migrate and integrate data from on-premises systems to cloud environments.
  • Implement CI/CD pipelines to automate build, test, and deployment workflows.
  • Develop SQL scripts and stored procedures for data processing and transformation.
  • Apply data modeling best practices to enterprise data systems.
  • Support data governance, metadata tagging, and access controls.

What we're looking for

  • TS/SCI clearance is required.
  • High school diploma or GED is required.
  • 2+ years of experience as a data engineer supporting large-scale enterprise systems is required.
  • Experience writing clean, secure, and efficient Python for data engineering use cases is required.
  • Experience moving data from on-prem environments to the cloud and automating development workflows is required.
  • Experience with CI/CD practices is required.
  • Experience with SQL, including stored procedures and data modeling, is required.
  • Experience with data governance and data tagging is required.

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