Data Engineer, Lead

Booz Allen Hamilton

Quick summary

Work type: On-site
Location: Washington, DC
Salary: $99,000–$225,000 / yr
Posted: 64 days ago
Closes: Jul 2, 2026

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $169k

This role $162k

$84k most similar roles pay here $240k

This role pays less than 57% of similar roles. Most pay $126,800–$211,775 — the shaded band above. At the midpoint, this role pays about $162k versus about $169k 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 375 open roles on FindRole.

Listed pay typically runs $86,800–$198,000 across 368 roles with salary data.

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At a glance

TL;DR · Data Engineer, Lead

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Join our team as a Lead Data Engineer where you will design and develop complex data applications at enterprise scale. Your day-to-day responsibilities include creating software for retrieving, parsing, and processing structured and unstructured data, developing scalable ETL and ELT workflows, and supervising others in a collaborative environment. You will work with Python, SQL, Scala, Java, and public clouds like AWS or Azure, as well as distributed computing tools such as Spark, Databricks, Hadoop, Hive, and Kafka. Additionally, experience with NoSQL databases like MongoDB and data warehousing solutions including Redshift is highly valued. This role requires a Secret clearance and a strong background in application development and operationalizing large-scale data systems.

Skills

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

What you'll do

Design and develop complex data applications at enterprise scale.
Create software for retrieving, parsing, and processing structured and unstructured data.
Develop scalable ETL and ELT workflows for reporting and analytics purposes.
Convert various types of data into usable formats to support project teams.
Supervise others and lead projects within a collaborative team environment.
Experience with public cloud platforms like AWS or Azure for data solutions.

What we're looking for

7+ years of experience in designing and developing complex enterprise-scale data applications.
5+ years of experience creating software for retrieving, parsing, and processing structured and unstructured data.
5+ years of experience developing scalable ETL/ELT workflows for reporting and analytics.
Experience supervising others and leading projects within a collaborative team environment.
Secret clearance required; TS/SCI clearance preferred.
Bachelor’s degree or higher in relevant field.

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