Hiring: Senior Databricks Engineer Company: Pacific Northwest National Laboratory Location: Richland, WA Job Posted Time: 2026-09-15 10:29:23 Employment Type: Remote Target Skills & Keywords : AWS, Agile, Azure, CI/CD, Cloud Native, Data Lakehouse, Data Warehouse, Databricks, Delta Lake, ETL, GCP, GitHub, GitHub Actions, LLM, PySpark, Python, SQL, Spark, Vault About the job Experience: •16 years of Data or Software Engineering experience •1 years of experience developing production Databricks solutions. •At least 1 years of experience developing production Databricks solutions. Required Skills: •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 •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. •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 capabilities, recommending and piloting features like Delta Live Tables and Unity Catalog enhancements to build a secure, reliable, and future ready data platform that accelerates science and mission delivery. •As part of our WE Culture, we offer a collaborative and agile team environment that embraces learning and fosters mentoring opportunities. Qualifications: •Lakehouse Architecture & Data Engineering: Design and build scalable Databricks lakehouse solutions using Medallion Architecture, Delta Lake, Unity Catalog, Spark/PySpark, Python, and SQL. •Databricks & Azure Platform Engineering: Operate and optimize production Databricks environments, including Jobs/Workflows, clusters, orchestration, CI/CD, DAB, and core Azure services. •Data Modernization & Integration: Modernize legacy warehouses and ETL processes and develop reliable ingestion-to-gold pipelines for ERP and complex transactional data. •Governance, Security & Reliability: Implement secure, governed data platforms with access controls, lineage, data quality, monitoring, observability, and performance optimization. •AI & Automation: Apply GenAI/LLM and emerging AI-agent technologies to automate engineering, testing, documentation, data quality, monitoring, and support. •PNNL will consider remote candidates for this position. Preference will be given to candidates located in, or willing to relocate to, the Richland, WA area to support in-person collaboration and engagement. •HS/GED and 16 years of Data or Software Engineering experience Compensation: •Flexible work environment (work from home / hybrid options) •Competitive benefits and rewards package •At PNNL, you will find an exciting research environment and excellent benefits including health insurance, and flexible work schedules Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!