Data Engineer

Booz Allen Hamilton

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
McLean, VA
Salary
$62,000–$141,000 / yr
Employment
Full-time
Posted
23 days ago
Freshness
Confirmed live yesterday
Closes
Dec 31, 2026

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $168k
This role $102k
$44k $227k
below market most similar roles pay here above market

This role pays less than 89% of similar roles. Most pay $126,800–$209,400 — the blue band above. At the midpoint, this role pays about $102k 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 1660 open roles on FindRole.

Listed pay typically runs $86,800–$198,000 across 902 roles with salary data.

Most-posted roles

View all roles at Booz Allen Hamilton

At a glance

TL;DR · Data Engineer

JOB TITLE: Data Engineer As a Mid-Level Data Engineer, you will join a cross-functional team of over seventy people to design, build, and optimize data pipelines for a high-impact Fortune 500 client program. Your daily responsibilities involve transforming raw data into meaningful outcomes by building scalable ETL and ELT workflows for analytics and reporting. You will utilize Databricks, PySpark, and SQL to scale data platforms while integrating new AI technologies and expanding DataOps and MLOps capabilities. The role requires proficiency in Python, Spark Structured Streaming, and cloud data architecture. You will work within a complex ecosystem involving Data Science, Governance, and Reporting to solve data challenges. Key technical components include Unity Catalog, workflows, notebooks, medallion data architecture, and Delta Lake to support real-time low-latency streaming pipelines.

What does a Data Engineer earn in Virginia?

Median $155450 from 67 postings across 8 companies.

See salary data

What you'll do

  • Design, build, and optimize data pipelines to transform raw data into meaningful outcomes.
  • Leverage Databricks, PySpark, and SQL to scale large-scale data platforms.
  • Build and maintain scalable ETL and ELT workflows for analytics and reporting.
  • Develop real-time, low-latency streaming pipelines using Spark Structured Streaming.
  • Integrate new AI technologies into existing data systems.
  • Expand and manage DataOps and MLOps capabilities.
  • Implement medallion data architecture and Delta Lake components.

What we're looking for

  • U.S. citizenship is required.
  • 3+ years of experience building scalable ETL and ELT workflows for analytics and reporting.
  • 3+ years of experience with Python and SQL.
  • 3+ years of experience with big data technologies, including Databricks and Spark.
  • 2+ years of experience with cloud data technologies and architecture.
  • Experience utilizing Spark Structured Streaming to develop real-time low-latency streaming pipelines.
  • Experience delivering solutions in a collaborative, cross-functional team environment.
  • Bachelor’s degree.

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