Data Engineer

Booz Allen Hamilton

Quick summary

Work type
On-site
Location
San Diego, CA
Salary
$61,900–$141,000 / yr
Posted
2 days ago
Closes
Sep 24, 2026

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $162k
This role $101k
$45k most similar roles pay here $216k

This role pays less than 96% of similar roles. Most pay $126,800–$198,000 — the shaded band above. At the midpoint, this role pays about $101k 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

As a Data Engineer at our company, you will join a dynamic team focused on leveraging data to drive business decisions and innovation. Your primary responsibilities include designing and implementing robust data pipelines, automating data processing tasks, and developing ETL operations to ensure high-quality data for analysis. Day-to-day, you will work with Python, SQL, and GraphQL to manage both relational and non-relational databases, while also utilizing tools like Power BI or Tableau for data visualization. Experience with Linux or Windows scripting is essential as you will automate complex workflows. Ideal candidates have a background in data engineering, science, or analytics, along with a strong foundation in computer science or related fields, enhancing their ability to tackle large-scale data challenges and contribute to our growing product ecosystem.

What you'll do

  • Design and implement data pipelines using ETL operations.
  • Develop software solutions in Python for data processing tasks.
  • Create visualizations with tools like Power BI or Tableau.
  • Manage both relational and non-relational databases using SQL/GraphQL.
  • Automate scripts on Linux or Windows to enhance operational efficiency.

What we're looking for

  • Experience in data engineering, data science, or data analytics.
  • Proficient in Python and other programming languages.
  • Knowledge of relational and non-relational database technologies.
  • Expertise with data visualization tools like Power BI, Tableau, Qlik.
  • Skills in automation and scripting on Linux/Windows systems.
  • Bachelor's degree required.

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