Data Engineer

Booz Allen Hamilton

Confirmed live today Low trust

Quick summary

Work type: On-site
Location: Fort Meade, MD
Salary: $77,600–$176,000 / yr
Employment: Full-time
Posted: 42 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

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

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At a glance

TL;DR · Data Engineer

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JOB TITLE: Data Engineer The Data Engineer joins a technical 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 and ML workloads. Required skills include building automated ETL workflows, implementing monitoring dashboards, and applying data governance practices. The role requires experience with validating datasets and developing schemas. Candidates should possess a TS/SCI clearance with a polygraph and experience with cloud environments like AWS or Azure to ensure high-quality, well-governed data flows.

What does a Data Engineer earn?

Median $159000 from 203 postings across 58 companies.

See salary data

Skills

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

What you'll do

Oversee the development and deployment of 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 AI and ML workloads.
Validate and normalize datasets while developing appropriate data schemas.
Implement dashboards and metrics to monitor data and pipeline performance.
Ensure high-quality, well-governed data flows across operational and research systems.
Perform exploratory analysis and feature development to shape dataset design and maintenance.

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 is required.
Experience validating or normalizing datasets and developing schemas is required.
Experience building automated ETL workflows and pipelines for data processes is required.
Experience implementing dashboards and metrics for data and pipeline monitoring is required.
Experience with cloud environments such as AWS or Azure (preferred).