SQL Data Engineer

Booz Allen Hamilton

Confirmed live today High trust

Quick summary

Work type: On-site
Location: Bethesda, MDMcLean, VA
Salary: $77,600–$176,000 / yr
Employment: Full-time
Posted: 6 days ago
Freshness: Confirmed live today
Closes: Jan 25, 2027
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $163k

This role $127k

$63k $214k

below market most similar roles pay here above market

This role pays less than 69% of similar roles. Most pay $126,800–$199,100 — the blue band above. At the midpoint, this role pays about $127k versus about $163k 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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At a glance

TL;DR · SQL Data Engineer

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As a SQL Data Engineer, you will join a team to design, develop, and optimize data solutions supporting federal health programs and regulatory science. You will build scalable data pipelines, data models, and analytics-ready datasets while collaborating with data engineers, analysts, software developers, and data scientists. Your daily work involves integrating data from databases, cloud platforms, APIs, JSON, XML, and flat files to improve data quality. You will utilize advanced SQL skills in Oracle SQL, PostgreSQL, and Databricks SQL, alongside Databricks Workspace, Apache Spark, Delta Lake, and Python. Key responsibilities include implementing medallion architecture patterns, managing code through Git, and performing automated testing and data reconciliation. You must translate solutions across different SQL dialects to solve complex technical problems in regulated data environments.

Skills

SQL Databricks Python Apache Spark Delta Lake PostgreSQL Oracle SQL AWS ETL ELT CI/CD Data Modeling Data Warehousing Git JSON XML Unity Catalog Delta Live Tables Pentaho Medallion Architecture

What you'll do

Build scalable data pipelines, data models, and analytics-ready datasets using Databricks and SQL.
Develop and optimize complex SQL solutions including stored procedures, views, and data transformations.
Design and implement data warehousing solutions using dimensional modeling and medallion architecture patterns.
Integrate data from diverse sources including databases, cloud platforms, APIs, JSON, XML, and flat files.
Develop data engineering solutions using Python and manage code through Git source-control tools.
Implement automated testing, data validation, reconciliation, and data-quality processes.
Translate technical solutions across different SQL dialects and database environments.
Troubleshoot complex issues and communicate technical risks and recommended actions to management.

What we're looking for

5+ years of experience developing, optimizing, and troubleshooting complex SQL solutions in Oracle SQL, PostgreSQL, and Databricks SQL.
2+ years of experience with Databricks, including Workspace, notebooks, jobs, workflows, Apache Spark, Delta Lake, and cluster configuration.
Experience with relational databases, data modeling, dimensional modeling, data warehousing, and medallion architecture patterns.
Experience integrating data from databases, cloud platforms, APIs, JSON, XML, and flat files.
Experience developing data engineering solutions in Python and managing code through Git or comparable source-control tools.
Experience implementing automated testing, data validation, data reconciliation, and data-quality processes.
Ability to obtain and maintain a Public Trust or Suitability/Fitness determination.
Bachelor’s degree in Computer Science, Data Science, Engineering, Statistics, Biostatistics, or Mathematics.

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