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 9, 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

$63k most similar roles pay here $215k

This role pays less than 85% 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 702 open roles on FindRole.

Listed pay typically runs $86,800–$198,000 across 693 roles with salary data.

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View all roles at Booz Allen Hamilton

At a glance

TL;DR · Data Engineer

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As a senior data engineer on our dynamic team, you will lead and collaborate with analysts, clinical subject matter experts, developers, and other stakeholders to build scalable ETL/ELT workflows for reporting and analytics. Your daily tasks include retrieving, parsing, and processing structured and unstructured data using PySpark and SQL within Azure Databricks, while also developing scripts to convert various types of data into usable formats. You will support the team in scaling, monitoring, and operating data platforms, ensuring that complex analytic concepts are effectively communicated to clinical and public health stakeholders. With a focus on large-scale data processing and FHIR-based data, you will work within an agile environment to solve critical business problems related to healthcare technology and public health modernization.

Skills

PySpark SQL Azure Databricks ETL ELT FHIR Scala Java AWS Azure GCP Spark Databricks Hadoop Hive EMR Kafka Redshift MySQL Snowflake Agile MongoDB Cassandra

What you'll do

Design and implement scalable ETL/ELT workflows using PySpark and SQL.
Retrieve, parse, and process structured and unstructured data for analytics.
Build and maintain data platforms on Azure Databricks to support reporting.
Develop scripts to convert various data types into usable formats for analysis.
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 and building scalable ETL/ELT workflows
Expertise in retrieving, parsing, and processing structured and unstructured data
Ability to communicate complex analytic concepts to non-technical stakeholders
Bachelor’s degree required
Experience supporting collaborative cross-functional technical teams

Remote Hybrid

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