Senior Data Engineer

Booz Allen Hamilton

Confirmed live yesterday Trusted

Quick summary

Work type
On-site
Location
Tampa, FL
Salary
$77,500–$176,000 / yr
Posted
25 days ago
Freshness
Confirmed live yesterday
Closes
Nov 15, 2026

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $173k
This role $127k
$62k most similar roles pay here $225k

This role pays less than 88% of similar roles. Most pay $143,697–$202,911 — the shaded band above. At the midpoint, this role pays about $127k versus about $173k 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 802 open roles on FindRole.

Listed pay typically runs $86,800–$198,000 across 783 roles with salary data.

Most-posted roles

View all roles at Booz Allen Hamilton

At a glance

TL;DR · Senior Data Engineer

As a Data Engineer, Senior, you will join a multi-disciplinary team in an agile environment to lead data engineering activities and mentor analysts, developers, and data consumers. You will oversee the assessment, design, construction, and maintenance of scalable platforms while managing the development and deployment of pipelines that organize disparate data into meaningful insights. Your daily work involves building ETL and ELT workflows for reporting and analytics, as well as creating scripts to convert various data types into usable formats. The role requires proficiency in Python, SQL, or TypeScript to process structured and unstructured data. Preferred technical skills include experience with Palantir Foundry, Spark, Databricks, Alteryx, AWS RDS, PostgreSQL, and Snowflake. This position addresses critical mission-driven challenges including fraud detection, cancer research, and national intelligence using complex datasets.

What does a Data Engineer earn?

Median $183138 from 214 postings across 58 companies.

See salary data

What you'll do

  • Oversee the development and deployment of data pipelines and platforms to organize disparate data sources.
  • Design, build, and maintain scalable data platforms for enterprise-level clients.
  • Develop scripts and programs to convert various data types into usable formats.
  • Build scalable ETL and ELT workflows for reporting and analytics.
  • Create software for retrieving, parsing, and processing structured and unstructured data using Python, SQL, or TypeScript.
  • Mentor a multi-disciplinary team of analysts, engineers, and developers in an agile environment.
  • Perform analytical exploration and data examination to provide insights for mission-driven projects.

What we're looking for

  • 5+ years of experience in application development, data engineering, or data science.
  • 5+ years of experience designing, developing, operationalizing, and maintaining complex data applications at enterprise scale.
  • 3+ years of experience creating software for retrieving, parsing, and processing structured and unstructured data using Python, SQL, or TypeScript.
  • 3+ years of experience building scalable ETL and ELT workflows for reporting and analytics.
  • Ability to develop scripts for converting data into usable formats and support teams in scaling, monitoring, and operating data platforms.
  • Experience with full-stack development, Palantir Foundry, Spark, Databricks, Alteryx, or AWS RDS (preferred).
  • Bachelor’s degree.

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