SQL Data Engineer

Build secure, high-performing data pipelines that support federal health programs and other mission-critical missions. In this onsite role in Bethesda, MD, you will design and optimize data solutions using advanced SQL and hands-on Databricks, partnering across engineering and client teams to deliver analytics-ready datasets.

Salary: USD 77,600 - 176,000 per year
Experience: 5+ years
Education: Bachelor’s degree in Computer Science, Data Science, Engineering, Statistics, Biostatistics, or Mathematics

Responsibilities

• Design, develop, and optimize data solutions supporting federal health programs, regulatory science, and other high-impact missions.
• Use advanced SQL and hands-on Databricks experience to build scalable data pipelines, data models, and analytics-ready datasets.
• Collaborate with data engineers, analysts, software developers, data scientists, and client stakeholders to integrate data, improve data quality, and deliver secure, high-performing solutions.
• Communicate technical concepts to both technical and non-technical audiences.
• Work independently in an Agile, collaborative, and client-focused environment to troubleshoot complex issues, raise questions proactively, communicate potential risks, and recommend actions to management early.

Requirements

• 5+ years 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 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, including proactive communication of risks and recommended actions to management.
• Public Trust
• Bachelor’s degree in Computer Science, Data Science, Engineering, Statistics, Biostatistics, or Mathematics.

Technologies

SQL, Oracle SQL, PostgreSQL, Databricks SQL, Databricks Workspace, notebooks, jobs, workflows, Apache Spark, Delta Lake, cluster configuration, Python, Git

Benefits

• Health, life, disability, financial, and retirement benefits
• Paid leave
• Professional development
• Tuition assistance
• Work-life programs
• Dependent care
• Recognition awards program acknowledging employees for exceptional performance and superior demonstration of values
• Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs

Nice If You Have

• Advanced Databricks capabilities including Delta Live Tables, Workflows, and Unity Catalog
• Experience developing and optimizing data transformation workflows, including ETL and ELT processes for reporting, analytics, or operational systems
• Experience with Pentaho or equivalent data integration and ETL tools
• Experience implementing CI/CD pipelines, automated deployments, and software development practices for data solutions
• Experience applying AI-enabled tools or techniques to improve data engineering workflows, pipeline performance, or developer productivity
• Experience with data governance, metadata management, data lineage, privacy, security, and access controls
• Experience supporting federal health data systems, regulatory science, or other regulated data environments
• Databricks, AWS Cloud, or Data Engineering technical Certification

Identity and Interview Policy

• Selected applicants 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.
• Identity verification may include a process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud.
• You are expected to be on camera during interviews and assessments; a picture may be taken to verify identity and prevent fraud.
• Use of AI or other tools to assist with responses during interviews is prohibited unless permission is explicitly provided.

Work Model

Onsite: Work will primarily be performed full-time at a customer facility, where employees collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran, or any other status protected by applicable federal, state, local, or international law.