Lead Data Science Engineer

Booz Allen Hamilton

Confirmed live yesterday Trusted

Quick summary

Work type
On-site
Location
McLean, VA
Salary
$99,000–$225,000 / yr
Posted
78 days ago
Freshness
Confirmed live yesterday
Closes
Sep 23, 2026

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $198k
This role $162k
$84k most similar roles pay here $240k

This role pays less than 78% of similar roles. Most pay $175,946–$220,900 — the shaded band above. At the midpoint, this role pays about $162k versus about $198k 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 · Lead Data Science Engineer

As a Data Science Engineer, Lead, you will join a multi-disciplinary team of analysts, data scientists, and engineers in an agile environment to develop advanced technology solutions. You will be responsible for building and deploying workflows, pipelines, and platforms that organize disparate data into meaningful information to solve complex global challenges. Your daily work involves writing source code for new applications, enhancing existing code samples, and designing solutions based on client requirements. The role requires proficiency in Python, SQL, ETL processes, and data pipeline construction. You will utilize technologies such as Kubernetes, Spark, ELK, OpenSearch, AWS, S3, and Terraform. This position focuses on creating robust architectures to manage complex data sets while ensuring systems are prepared for future functionality within a high-security environment requiring a TS/SCI clearance with a polygraph.

What you'll do

  • Develop and deploy workflows, pipelines, and platforms to organize disparate data into useful information.
  • Build advanced technology solutions to solve complex global challenges for clients.
  • Write source code for new applications and enhance existing code samples.
  • Implement data engineering concepts and infrastructure using tools like Spark or Terraform.
  • Manage containerized environments and orchestration technologies such as Kubernetes.
  • Identify system improvements and integrate modern architectural approaches into current operating environments.
  • Translate client requirements into technical designs and recommended solutions.

What we're looking for

  • TS/SCI clearance with polygraph.
  • 4+ years of experience with Python, SQL, ETL, and data pipelines.
  • Experience with container orchestration technologies like Kubernetes.
  • Experience with data engineering concepts and implementations.
  • Experience writing source code for new or existing applications.
  • Experience creating solutions to complex problems within cross-functional teams.
  • Preferred experience with Spark, ELK, OpenSearch, AWS, or Terraform.
  • Bachelor's degree.

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