Senior Databricks Engineer

At PNNL, our core capabilities are divided among major departments that we refer to as Directorates within the Lab, focused on a specific area of scientific research or other function, with its own leadership team and dedicated budget.

Our Science & Technology directorates include National Security, Integrated Discovery Sciences, and Energy and Environment. In addition, we have an Environmental Molecular Sciences Laboratory, a Department of Energy, Office of Science user facility housed on the PNNL campus.

At PNNL, our Computing and Information Technology organization is redefining how we work and innovate by reimagining the digital workplace. We empower research and streamline operations—making both faster, smarter, and more efficient—so our professionals can tackle some of the world's toughest challenges in science, energy, and national security. Our experts in AI, cybersecurity, design, and engineering work side by side, using real-time insights and human-centered design to break down barriers.

Ready to make your mark on tomorrow? Come work with us.

In support of PNNL's mission, Digital Platforms collaborates closely with our business and technology partners to build and maintain innovative software solutions and robust data and analytics capabilities. We aim to be a strategic partner in delivering cutting-edge enterprise solutions that drive innovation and improve the way our staff work across the PNNL digital workplace. Our forward-thinking, agile teams leverage cloud technologies, Dev Sec Ops , and AI to modernize existing platforms and assist in the creation of novel solutions.

By integrating commercial products, custom-developed and low-code solutions, we ensure our digital platforms are ready for the challenges and opportunities of tomorrow.

PNNL’s Digital Platforms organization is modernizing the enterprise data ecosystem to accelerate mission delivery across national security, energy, and scientific research. We operate robust, cloud native data platforms that enable analysts, scientists, and technologists to work faster and smarter.

We are seeking an experienced Databricks Engineer to support the design, build, and operation of our enterprise data lakehouse that powers analytics and reporting across PNNL systems. This role will focus on delivering governed, reliable, and performant data products—especially for ERP and other enterprise sources—and enabling downstream analytics with Power BI and AI/ML.

As part of a data transformation initiative, you will support the design, develop and maintain Databricks based lakehouse solutions that moves data reliably from source systems to curated gold tables. Using modern patterns such as Medallion Architecture, Delta Lake and Unity Catalog, you’ll support the build of scalable pipelines that transform raw data into analytics ready assets for Power BI and AI/ML, balancing pragmatic delivery with future-focused architecture.

You’ll support the modernization of legacy data warehouses and ETL tools into Databricks, transforming legacy ETL processes into scalable, maintainable solutions. Your platform engineering mindset will shape CI/CD for Databricks (e.g., DAB, Git Hub Actions) and standardize deployment practices across environments. You will configure and operate work spaces, clusters, jobs, and workflows; tune for performance and reliability; and embed data quality, monitoring, and observability to keep critical pipelines healthy.

Security and governance will be integral to your work. You’ll implement role-based access controls, data masking, and Unity Catalog models to ensure secure, compliant data sharing, proper classification, lineage, and auditability.

You’ll stay current with Azure and Databricks…