SQL Data Engineer

Booz Allen Hamilton

. Design, develop, and optimize data solutions supporting federal health programs, regulatory science, and other high-impact missions .

Posted 10/14/2026full-timeUnited StatesMid-LevelSenior💰 $77,600 - $176,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and optimizing complex SQL solutions, data engineering, and building scalable data pipelines. Proficient in integrating diverse data sources and ensuring data quality for high-impact federal health programs.

Highest-signal resume keywords

Advanced SQL DevelopmentDatabricks ExperienceData Engineering in PythonData Quality ProcessesRelational Database Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQL QueriesStored ProceduresData TransformationsData ModelingDimensional ModelingData WarehousingMedallion ArchitectureApache SparkDelta LakeAutomated Testing

Soft Skills

CollaborationProblem-SolvingProactive CommunicationIndependent WorkClient-Focused

Tools & Technologies

Databricks WorkspaceGitCloud Data PlatformsAPIsJSONXMLFlat Files

Certifications & Qualifications

Public Trust

Industry Keywords

Federal Health ProgramsRegulatory ScienceData SolutionsData QualityAgile Environment

Tech Stack

Tools & technologies

ApacheCloudOraclePostgresPythonSparkSQL

About the role

Key responsibilities & impact

Design, develop, and optimize data solutions supporting federal health programs, regulatory science, and other high-impact missions
Build scalable data pipelines, data models, and analytics-ready datasets using advanced SQL and Databricks
Collaborate with data engineers, analysts, software developers, data scientists, and client stakeholders
Integrate data and improve data quality
Deliver secure, high-performing data solutions
Develop, optimize, and troubleshoot SQL queries, stored procedures, views, functions, and data transformations
Support data engineering, analytics, and mission-critical decision-making needs

Requirements

What you’ll need

5+ years of experience developing, optimizing, and troubleshooting complex SQL solutions, including queries, stored procedures, views, functions, and data transformations, in Oracle SQL, PostgreSQL, and Databricks SQL
2+ years of experience with Databricks, including Databricks Workspace, notebooks, jobs, workflows, Apache Spark, Delta Lake, and cluster configuration
Experience with relational databases, data modeling, dimensional modeling, data warehousing, and designing and implementing medallion architecture patterns
Experience integrating data from databases, cloud data 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 translate solutions across different SQL dialects and database environments
Ability to work independently in an Agile, collaborative, and client-focused environment; troubleshoot complex issues; raise questions proactively; communicate potential risks and recommended actions to management early
Public Trust
Bachelor’s degree in Computer Science, Data Science, Engineering, Statistics, Biostatistics, or Mathematics
Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client; Public Trust determination is required

Benefits

Comp & perks

Health benefits
Life insurance
Disability benefits
Financial benefits
Retirement benefits
Paid leave
Professional development
Tuition assistance
Work-life programs
Dependent care
Recognition awards for exceptional performance and superior demonstration of values