Data Engineer, Lead

Booz Allen Hamilton

Confirmed live today High trust

Quick summary

Work type
On-site
Location
McLean, VA
Salary
$77,600–$176,000 / yr
Employment
Full-time
Posted
10 days ago
Freshness
Confirmed live today

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $166k
This role $127k
$62k $221k
below market most similar roles pay here above market

This role pays less than 72% of similar roles. Most pay $126,800–$205,950 — the blue band above. At the midpoint, this role pays about $127k versus about $166k 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.

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View all roles at Booz Allen Hamilton

At a glance

TL;DR · Data Engineer, Lead

The Data Engineer, Lead will join a team focused on making enterprise data and knowledge usable, governed, and dependable for AI applications. In this role, you will design data architectures and build pipelines, knowledge indexes, and retrieval services that ground agents in authorized information. You will work with source-system owners to define data contracts, integrate structured and unstructured sources, and maintain permissions, lineage, and quality. Key responsibilities include owning the reliability of retrieval services and partnering with AI engineering on response quality. You will utilize Databricks, Spark, Delta Lake, vector databases, SQL, and Python. Required skills include experience with Lakehouse architectures, ETL/ELT pipelines, data modeling, and retrieval augmented generation. This role solves the technical challenge of providing high-quality, permission-aware data for production AI systems.

What you'll do

  • Design data architectures and build pipelines, knowledge indexes, and retrieval services for AI applications.
  • Define data contracts and integrate structured and unstructured sources with source-system owners.
  • Maintain data permissions, lineage, quality, and freshness across enterprise systems.
  • Develop, test, and operate ETL or ELT pipelines using SQL and Python.
  • Define data models, schemas, APIs, and access patterns to support downstream applications.
  • Implement retrieval augmented generation (RAG) using embeddings, vector indexes, and hybrid search.
  • Troubleshoot ingestion and retrieval failures while assessing relevance, latency, and scalability.
  • Translate enterprise requirements into architecture decisions, integration standards, and governance patterns.

What we're looking for

  • U.S. citizenship is required.
  • Ability to obtain and maintain a Public Trust or Suitability/Fitness determination.
  • Experience designing or implementing enterprise data platforms, Lakehouse architectures, and integrations for structured and unstructured data.
  • Experience with Databricks, Spark, Delta Lake, or vector databases.
  • Experience developing, testing, and operating ETL or ELT pipelines in SQL and Python.
  • Experience defining data models, schemas, data contracts, APIs, and access patterns for downstream applications.
  • Experience with data governance, source permissions, lineage, quality controls, and monitoring.
  • Bachelor's degree.

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