Data Engineer

Booz Allen Hamilton

Quick summary

Work type: On-site
Location: Arlington, VA
Salary: $62,000–$141,000 / yr
Posted: 2 days ago
Closes: Sep 3, 2026

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $163k

This role $102k

$45k most similar roles pay here $216k

This role pays less than 93% of similar roles. Most pay $126,800–$199,850 — the shaded band above. At the midpoint, this role pays about $102k 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 694 open roles on FindRole.

Listed pay typically runs $86,800–$198,000 across 682 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 Data Engineer at our company, you will join a dynamic team focused on developing scalable data solutions to support complex business analytics needs. Your primary responsibilities include designing and implementing ETL/ELT workflows for structured and unstructured data retrieval, parsing, and processing. You will work with distributed computing frameworks like Apache Spark and develop large-scale batch and stream analytics pipelines using platforms such as AWS EMR, Redshift, and Databricks. Additionally, you will collaborate closely with cross-functional teams including customer success managers, infrastructure engineers, and data scientists to ensure seamless integration of data solutions. Ideal candidates have experience in deploying analytics workloads on PaaS and SaaS environments, developing technical presentations for senior leadership, and working within the DoD information systems domain.

Skills

Python AWS EMR Redshift SageMaker Databricks Apache Spark Terraform CloudFormation CI/CD Kafka NVIDIA CUDA Prometheus Grafana Snowflake PostgreSQL BigQuery Hadoop Airflow

What you'll do

Develop and maintain scalable ETL/ELT workflows for reporting and analytics.
Create software to retrieve, parse, and process structured and unstructured data.
Deploy analytics workloads on PaaS and SaaS platforms like AWS EMR or Redshift.
Experience with distributed programming frameworks such as Apache Spark or CUDA.
Develop and present complex technical information to both technical and non-technical audiences.

What we're looking for

2+ years of experience in programming languages like Python.
Experience creating software for data retrieval, parsing, and processing.
Developed scalable ETL/ELT workflows for reporting and analytics.
Bachelor’s degree required.
Deployed analytics workloads on PaaS or SaaS platforms (AWS EMR, Redshift).
Familiar with distributed or parallel programming frameworks like Apache Spark.

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