Senior Data Engineer

Booz Allen Hamilton

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Huntsville, AL
Salary
$77,500–$176,000 / yr
Employment
Full-time
Posted
8 days ago
Freshness
Confirmed live yesterday
Closes
Dec 24, 2026

Market check

Salary context

Below market

How this pay compares to similar roles

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

This role pays less than 87% of similar roles. Most pay $140,000–$196,850 — the shaded 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 1244 open roles on FindRole.

Listed pay typically runs $86,800–$198,000 across 821 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 build advanced technology solutions and manage the assessment, design, construction, and maintenance of scalable platforms. You will develop pipelines and platforms that organize disparate data into meaningful insights for mission-driven projects involving fraud detection, cancer research, and national intelligence. Your daily work involves building scalable ETL or ELT pipelines, automating large-scale batch and streaming workflows, and performing tuning on data lake architecture to optimize performance. The role requires proficiency in programming languages such as Python, SQL, Scala, Spark, Java, and Postgres. You will utilize tools including Apache NiFi, Databricks, Airflow, Snowflake, Redshift, BigQuery, and various NoSQL databases like MongoDB or Elasticsearch. This position requires a Top Secret clearance to manage complex data systems for critical government-related initiatives.

What does a Data Engineer earn?

Median $162000 from 191 postings across 57 companies.

See salary data

What you'll do

  • Design and develop scalable ETL/ELT data pipelines for batch and streaming workflows.
  • Build and maintain platforms that organize disparate structured and unstructured data into meaningful insights.
  • Manage the assessment, design, and maintenance of large-scale data warehouse or lake architectures.
  • Perform tuning on data lake architecture to optimize cloud storage and pipeline performance.
  • Implement data management solutions for cataloging, governance policies, and lifecycle management.
  • Develop automated CI/CD pipelines across multiple technical stacks.
  • Build and manage AI and machine learning pipelines and processes.

What we're looking for

  • 10+ years of experience designing data warehouse/lake models, RESTful APIs, event processing, or business intelligence for software systems.
  • Experience building scalable ETL/ELT pipelines and automating large-scale batch and streaming data workflows.
  • Proficiency in programming languages including Postgres, SQL, Python, Scala, Spark, or Java.
  • Experience using Apache Spark, Apache NiFi, or Databricks.
  • Experience tuning data lake architecture to optimize cloud storage and pipeline performance.
  • Experience with data management solutions for cataloging, usage, governance policies, and lifecycle management.
  • Top Secret clearance required.
  • Bachelor's degree and 8+ years of experience in data systems, or 14+ years of experience without a degree.

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