Data Engineer

Booz Allen Hamilton

Confirmed live today High trust

Quick summary

Work type
On-site
Location
Tampa, FL
Salary
$77,500–$176,000 / yr
Employment
Full-time
Posted
1 day ago
Freshness
Confirmed live today
Closes
Jan 24, 2027

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $168k
This role $127k
$62k $225k
below market most similar roles pay here above market

This role pays less than 79% of similar roles. Most pay $126,800–$209,400 — the blue band above. At the midpoint, this role pays about $127k versus about $168k 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 1662 open roles on FindRole.

Listed pay typically runs $86,800–$198,000 across 904 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, you will join a multi-disciplinary team of analysts, developers, and data consumers to build advanced technology solutions for mission-driven projects. You will be responsible for the assessment, design, building, and maintenance of scalable platforms, specifically deploying and developing pipelines that organize disparate data into meaningful formats. Your daily work involves creating scalable ETL or ELT workflows for reporting and analytics, as well as developing scripts to convert various data types into usable formats. The role requires proficiency in Qlik, with preferred experience in Python, SQL, Scala, or Java, along with distributed computing tools like Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka. You will solve complex data problems in domains including fraud detection, cancer research, and national intelligence.

What does a Data Engineer earn?

Median $159000 from 203 postings across 58 companies.

See salary data

What you'll do

  • Deploy and develop data pipelines and platforms to organize disparate data sources.
  • Design, build, and maintain scalable data platforms for enterprise-scale clients.
  • Build scalable ETL or ELT workflows for reporting and analytics.
  • Develop scripts and programs to convert various data types into usable formats.
  • Manage the assessment and operational maintenance of data platforms.
  • Perform analytical exploration and data examination to provide mission-driven insights.
  • Support the project team in scaling and monitoring data infrastructure.

What we're looking for

  • 5+ years of experience in application development in Qlik.
  • 5+ years of experience designing, developing, operationalizing and maintaining complex data applications at enterprise scale.
  • 3+ years of experience building scalable ETL or ELT workflows for reporting and analytics.
  • Ability to develop scripts and programs for converting various types of data into usable formats.
  • Experience creating solutions within a collaborative, cross-functional team environment.
  • Experience with Python, SQL, Scala, Java, Spark, Databricks, Hadoop, Hive, AWS EMR, Kafka, or real-time streaming (preferred).
  • Bachelor’s degree.

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