SQL Data Engineer

SQL Data Engineer The Opportunity:  As organizations collect increasing volumes of data from various sources, effective data engineering is essential to producing reliable insights and supporting mission-critical decisions. As a SQL developer and data engineer, you will help design, develop, and optimize data solutions that support federal health programs, regulatory science, and other high-impact missions. You will apply advanced SQL skills and hands-on Databricks experience to build scalable data pipelines, data models, and analytics-ready datasets. You will collaborate with data engineers, analysts, software developers, data scientists, and client stakeholders to integrate data, improve data quality, and deliver secure, high-performing solutions. This role requires strong problem-solving skills, attention to detail, and the ability to communicate technical concepts to both technical and non-technical audiences. Work with us to use data for good. Join us. The world can’t wait.  You Have:    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 in 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 Nice If You Have:    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   Vetting: 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.

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our 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