This SQL Data Engineer role supports federal health programs and other mission-critical initiatives by building secure, high-performing data pipelines, data models, and analytics-ready datasets. The position emphasizes advanced SQL development alongside hands-on Databricks engineering, with collaboration across technical teams and client stakeholders.
Key Responsibilities
- Design, develop, and optimize data solutions for federal health programs, regulatory science, and other high-impact missions.
- Use advanced SQL skills 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 by troubleshooting complex issues, raising questions proactively, and communicating potential risks and recommended actions to management early.
Required Qualifications
- 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, including troubleshooting complex issues, raising questions proactively, and communicating potential risks and recommended actions to management early.
- 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
Preferred Qualifications
- Experience with advanced Databricks capabilities, including Delta Live Tables, Workflows, and Unity Catalog.
- Experience developing and optimizing data transformation workflows, including ETL and ELT processes supporting 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.
Work Model and Location
The role is listed as onsite in Bethesda, MD, with full-time work primarily performed at a customer facility where employees collaborate directly with colleagues and customers as required by the role.
Compensation
Salary range: USD 77,600 - 176,000 per year.
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 per week on a regular basis are eligible to participate in Booz Allen’s benefit programs.
Public Trust and Identity Verification
- Selected applicants will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client; a Public Trust determination is required.
- Completing an identity verification 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.
- We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
The use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Non-Discrimination Commitment
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.
