Data Engineer

Booz Allen Hamilton

Quick summary

Work type: On-site
Location: Washington, DC
Salary: $62,000–$141,000 / yr
Posted: 4 days ago
Closes: Sep 22, 2026
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $162k

This role $102k

$45k most similar roles pay here $216k

This role pays less than 91% of similar roles. Most pay $126,800–$198,000 — the shaded band above. At the midpoint, this role pays about $102k versus about $162k 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 760 open roles on FindRole.

Listed pay typically runs $86,800–$198,000 across 748 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 senior Data Engineer at our innovative firm, you will mentor a diverse team of professionals in developing and maintaining robust data solutions that address critical issues ranging from fraud detection to medical research. Your daily responsibilities include designing scalable database architectures, creating software for data retrieval and processing, and implementing ETL workflows using tools like Spark, Databricks, and AWS EMR. You must have extensive experience with Python or SQL, distributed computing platforms, and cloud services such as AWS. Additionally, familiarity with NoSQL databases, data warehousing technologies, and cybersecurity certifications is highly desirable for this role that demands a Secret clearance and a Bachelor’s degree.

Skills

Python SQL Spark Databricks Hadoop Hive AWS EMR Kafka AWS UNIX Linux MongoDB Cassandra AWS Redshift MySQL MSSQL Oracle Postgresql Snowflake

What you'll do

Design and optimize database architectures for efficient data storage and retrieval.
Develop scalable ETL/ELT workflows to support reporting and analytics needs.
Create software solutions for processing both structured and unstructured data.
Mentor a multi-disciplinary team in agile development methodologies.
Utilize distributed computing tools like Spark, Databricks, or Hadoop for big data tasks.

What we're looking for

5+ years of experience in database architecture and modeling
5+ years developing scalable ETL/ELT workflows for reporting and analytics
5+ years using Python or SQL, with distributed data/computing tools like Spark, Databricks, Hadoop
2+ years of cloud platform experience (AWS, Azure, Google Cloud)
Secret clearance required

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