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
10 days ago
Freshness
Confirmed live yesterday

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 1662 open roles on FindRole.

Listed pay typically runs $86,800–$198,000 across 904 roles with salary data.

Most-posted roles

View all roles at Booz Allen Hamilton

At a glance

TL;DR · Data Engineer

The Data Engineer will join a team focused on making enterprise data and knowledge usable, governed, and dependable for AI applications. The role involves designing data architectures and building pipelines, knowledge indexes, and retrieval services to ground agents in authorized information. Key responsibilities include defining data contracts, integrating structured and unstructured sources, and maintaining permissions, lineage, quality, and freshness. The successful candidate will utilize Databricks, Spark, Delta Lake, vector databases, SQL, and Python to develop ETL or ELT pipelines. Core competencies include defining data models, schemas, and APIs while managing data governance and monitoring for availability. The work specifically addresses retrieval augmented generation, embeddings, and semantic or hybrid search to solve technical problems regarding application retrieval behavior and response quality within a secure environment.

What does a Data Engineer earn in Virginia?

Median $155450 from 67 postings across 8 companies.

See salary data

What you'll do

  • Design data architectures and build pipelines, knowledge indexes, and retrieval services for AI applications.
  • Define data contracts, schemas, and APIs with source-system owners and engineering teams.
  • Integrate structured and unstructured data sources into enterprise data platforms and Lakehouse architectures.
  • Maintain data permissions, lineage, quality controls, and monitoring for freshness and availability.
  • Develop, test, and operate ETL or ELT pipelines using SQL and Python.
  • Implement retrieval augmented generation (RAG) using embeddings, vector indexes, and semantic 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.
  • 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.
  • Knowledge of retrieval augmented generation, embeddings, vector indexes, and semantic or hybrid search.
  • Bachelor's degree.

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