Data Engineer

Booz Allen Hamilton

Confirmed live today Low trust

Quick summary

Work type: On-site
Location: Fort Meade, MD
Employment: Full-time
Posted: 57 days ago
Freshness: Confirmed live today
Closes: Nov 28, 2026
Nearby: 99+ roles within 25 mi

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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

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JOB TITLE: Data Engineer The Data Engineer joins the team to lead data engineering activities for mission-driven projects involving fraud detection, cancer research, and national intelligence. You will oversee the development and deployment of pipelines and platforms that organize disparate data into meaningful formats. Daily responsibilities include collaborating with AI model engineers and cloud architects to design, implement, and maintain scalable data pipelines. You will perform exploratory analysis, feature development, and data normalization to support AI/ML workloads while ensuring high-quality, well-governed data flows. Required skills include building automated ETL workflows, implementing dashboards for pipeline monitoring, and knowledge of data governance. The role requires experience with data normalization and schemas, and candidates may benefit from knowledge of AWS or Azure cloud environments to support complex operational and research systems.

What does a Data Engineer earn?

Median $159000 from 203 postings across 58 companies.

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Skills

Data Engineering ETL AWS Azure AI/ML Data Pipelines Data Governance Data Normalization Dashboards Metrics Exploratory Analysis Feature Development IoT Machine Learning

What you'll do

Oversee the development and deployment of data pipelines and platforms to organize disparate data.
Build automated ETL workflows and pipelines for complex data processes.
Design, implement, and maintain scalable data pipelines for mission-aligned projects.
Validate and normalize datasets while developing appropriate data schemas.
Perform exploratory analysis and feature development for AI/ML workloads.
Implement dashboards and metrics to monitor data and pipeline performance.
Ensure high-quality, well-governed data flows across operational and research systems.
Monitor and improve pipeline performance in coordination with operations teams.

What we're looking for

TS/SCI clearance with a polygraph is required.
Must have a high school diploma or GED with 6+ years of experience with data normalization and data pipelines.
Must have a Bachelor’s degree and 4+ years of experience with data normalization and data pipelines.
6+ years of experience as a data engineer.
Experience validating or normalizing datasets and developing schemas.
Experience building automated ETL workflows and pipelines for data processes.
Experience implementing dashboards and metrics for data and pipeline monitoring.
Knowledge of data governance practices.
Ability to design, implement, and maintain data pipelines.
Ability to monitor and improve pipeline performance in coordination with operations teams.
Experience with cloud environments such as AWS or Azure (preferred).
Experience supporting data cleaning or orchestration for AI/ML solutions (preferred).
10+ years of experience as a data engineer (preferred).
Bachelor’s degree (preferred).