SQL Data Engineer

Join a culture of empowerment and connectivity.

Learn the skills you need to accelerate your career.

Discover benefits that support your life and work.

Build mission-ready tech that protects the nation.

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.

• 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

• 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

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.

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