Data Engineer

Booz Allen Hamilton

Quick summary

Work type: On-site
Location: Atlanta, GAWashington, DC
Salary: $77,500–$176,000 / yr
Posted: 3 days ago
Closes: Sep 26, 2026
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $164k

This role $127k

$62k most similar roles pay here $218k

This role pays less than 86% of similar roles. Most pay $126,800–$200,200 — the shaded band above. At the midpoint, this role pays about $127k versus about $164k 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 729 open roles on FindRole.

Listed pay typically runs $86,800–$198,000 across 716 roles with salary data.

Most-posted roles

View all roles at Booz Allen Hamilton

At a glance

TL;DR · Data Engineer

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As a Data Engineer at our company, you will join a multi-disciplinary team in Atlanta, GA or Washington, DC to develop data warehouses and scalable ETL/ELT workflows for reporting and analytics. You’ll work with cloud-based technologies like AWS Glue, Athena, and Postgres, as well as distributed computing tools such as Spark and Hadoop. Your daily tasks will include writing SQL and Python scripts to retrieve, parse, and process structured and unstructured data from multiple sources, ensuring the accuracy of backend database testing post-deployment. Ideal candidates have 3+ years of experience in cloud-based environments and a strong background in developing scalable data platforms for mission-critical applications ranging from fraud detection to healthcare research.

Skills

AWS SQL Python ETL ELT PostgreSQL NoSQL Cloudera Spark Databricks Hadoop Hive Kafka UNIX Linux Shell scripting CI/CD

What you'll do

Develop scalable ETL/ELT workflows for reporting and analytics using cloud-based technologies.
Retrieve, parse, and process structured and unstructured data using SQL and Python.
Convert various types of data into usable formats to support project teams.
Perform backend SQL and NoSQL database testing including post-deployment validation.
Collaborate with multi-disciplinary teams in a fast-paced agile environment.

What we're looking for

3+ years of experience in Data Warehouse development.
Proficient in SQL and Python for data retrieval and processing.
Experience with cloud-based ETL or ELT workflows for analytics.
Ability to develop scripts for converting various data types into usable formats.
Background in backend database testing, including post-deployment validation.
Bachelor's degree required.

Remote

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Data Engineer, Lead

Booz Allen Hamilton

Washington, DC 90 days ago $99,000–$225,000

Python SQL Scala Java AWS Azure Google Cloud Spark Databricks Hadoop Hive AWS EMR Kafka MongoDB Cassandra AWS Redshift Snowflake UNIX Linux Agile

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