Data Engineer

Booz Allen Hamilton

Quick summary

Work type: On-site
Location: Atlanta, GAMcLean, VA
Salary: $77,500–$176,000 / yr
Posted: 4 days ago
Closes: Sep 14, 2026
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $163k

This role $127k

$63k most similar roles pay here $215k

This role pays less than 83% of similar roles. Most pay $126,800–$199,800 — the shaded band above. At the midpoint, this role pays about $127k versus about $163k 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 711 open roles on FindRole.

Listed pay typically runs $86,800–$198,000 across 702 roles with salary data.

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At a glance

TL;DR · Data Engineer

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As a senior data engineer joining our dynamic team, you will play a pivotal role in guiding multi-disciplinary teams to extract meaningful insights from vast amounts of structured and unstructured data. Your daily responsibilities include developing PySpark scripts and SQL queries for data retrieval and processing, optimizing Azure Databricks workflows, and collaborating with clinical subject matter experts and developers to support public health initiatives. You will also communicate complex technical concepts to non-technical stakeholders and develop scalable solutions using distributed computing tools like Spark and Hadoop. With a strong background in FHIR-based data and large-scale data processing, you will contribute to the modernization of healthcare systems by leveraging your expertise in cloud platforms such as Azure and AWS.

Skills

PySpark SQL Azure Databricks FHIR Spark Databricks Hadoop Hive EMR Kafka MongoDB Cassandra Redshift MySQL Snowflake Agile UNIX Linux Shell scripting AWS Azure GCP

What you'll do

Design and optimize data pipelines using PySpark and Azure Databricks.
Retrieve, parse, and process both structured and unstructured data efficiently.
Develop scripts to convert various types of data into usable formats for analysis.
Support the team in scaling, monitoring, and operating large-scale data platforms.
Communicate complex analytic concepts to clinical and public health stakeholders.

What we're looking for

3+ years experience with PySpark and SQL
3+ years experience with Azure Databricks
Expertise in retrieving, parsing, and processing structured and unstructured data
Ability to support and guide multi-disciplinary technical teams
Strong communication skills for explaining complex analytic concepts to stakeholders
Bachelor’s degree required
Experience developing scripts for converting various types of data into usable formats

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