Data Science Engineer, Lead

Booz Allen Hamilton

Quick summary

Work type: On-site
Location: McLean, VA
Salary: $99,000–$225,000 / yr
Posted: 3 days ago
Closes: Sep 23, 2026
Nearby: 99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $159k

This role $162k

$84k most similar roles pay here $240k

This role pays more than 60% of similar roles. Most pay $126,800–$192,050 — the shaded band above. At the midpoint, this role pays about $162k versus about $159k 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 742 open roles on FindRole.

Listed pay typically runs $86,800–$198,000 across 730 roles with salary data.

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View all roles at Booz Allen Hamilton

At a glance

TL;DR · Data Science Engineer, Lead

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As a Lead Data Science Engineer at Booz Allen, you will collaborate with a multi-disciplinary team to develop and deploy advanced data science solutions for mission-critical projects. Your daily tasks include building and optimizing workflows, pipelines, and platforms using Python, SQL, and ETL tools to transform complex datasets into actionable insights. You will also work on container orchestration technologies like Kubernetes and leverage AWS services such as S3 and Terraform for infrastructure management. With a focus on data engineering concepts and client requirement acquisition, you will help clients solve their most challenging problems by implementing cutting-edge architectural approaches and ensuring that solutions align with current and future needs.

Skills

Python SQL Kubernetes ETL Data Pipelines Spark AWS Terraform ELK OpenSearch

What you'll do

Develop and deploy data science workflows and pipelines to organize complex datasets.
Implement ETL processes and manage data engineering projects for mission-driven initiatives.
Collaborate on the design of scalable data platforms using Kubernetes and other container technologies.
Utilize Python, SQL, and Spark to extract insights from large datasets and support decision-making.
Recommend system improvements based on client requirements and technological advancements.

What we're looking for

4+ years of experience in Python and SQL for data engineering.
Proficient in ETL processes and building data pipelines.
Experience with Kubernetes or similar container orchestration tools.
Bachelor's degree required.
Familiarity with Spark, ELK, or OpenSearch is beneficial.
Knowledge of AWS technologies including S3 and infrastructure as code languages like Terraform.

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