Overview

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, DevSecOps, 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.

Responsibilities

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, GitHub Actions) and standardize deployment practices across environments. You will configure and operate workspaces, 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 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.

Knowledge, Skills, and Abilities:

• 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.

Qualifications

Minimum Qualifications:

• PhD and 1 years of Data or Software Engineering experience -OR-
• MS/MA and 3 years of Data or Software Engineering experience -OR-
• BS/BA and 5 years of Data or Software Engineering experience -OR-
• AA and 14 years of Data or Software Engineering experience -OR-
• HS/GED and 16 years of Data or Software Engineering experience
  
  In addition, candidates must have:
• At least 1 years of experience developing production Databricks solutions.
• Experience in coding languages, such as, Python and SQL in a Spark/Databricks environment.
• Experience with cloud services (platforms like AWS, Azure, GCP).

Preferred Qualifications:

• Experience working with Delta Lake, SQL, notebooks, end to end pipeline development, and cluster management.
• Experience implementing Databricks Asset Bundles (DAB) or equivalent for CI/CD and standardizing deployment workflows.
• Exposure to agentic AI / AI agents (e.g., orchestrating multi-step AI workflows for data quality checks, pipeline monitoring, or support automation) is a plus.
• Familiarity with core Azure services such as ADLS Gen2 and Key Vault
• Experience using GenAI / LLM-based tools (e.g., GitHub Copilot, Azure OpenAI, Databricks Genie, or similar) to accelerate and automate engineering tasks such as code generation, test creation, documentation, and troubleshooting.

Additional Information

This position involves access to sensitive systems and information. U.S. Citizenship is required. Pacific Northwest National Laboratory is subject to the Department of Energy Unclassified Foreign Visits & Assignments Program site, information, technologies, and equipment access requirements.ferral Eligible"

Testing Designated Position

This is not a Testing Designated Position (TDP).

Rockstar Rewards

Employees and their families are offered medical insurance, dental insurance, vision insurance, robust telehealth care options, several mental health benefits, free wellness coaching, health savings account, flexible spending accounts, basic life insurance, disability insurance*, employee assistance program, business travel insurance, tuition assistance, relocation, backup childcare, legal benefits, supplemental parental bonding leave, surrogacy and adoption assistance, and fertility support. Employees are automatically enrolled in our company-funded pension plan* and may enroll in our 401 (k) savings plan with company match*. Employees may accrue up to 120 vacation hours per year and may receive ten paid holidays per year.
* Research Associates excluded.
**All benefits are dependent upon eligibility.

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Notice to Applicants

PNNL lists the full pay range for the position in the job posting. Starting pay is calculated from the minimum of the pay range and actual placement in the range is determined based on an individual's relevant job-related skills, qualifications, and experience. This approach is applicable to all positions, with the exception of positions governed by collective bargaining agreements and certain limited-term positions which have specific pay rules.

As part of our commitment to fair compensation practices, we do not ask for or consider current or past salaries in making compensation offers at hire. Instead, our compensation offers are determined by the specific requirements of the position, prevailing market trends, applicable collective bargaining agreements, pay equity for the position type, and individual qualifications and skills relevant to the performance of the position.

Minimum Salary

USD $133,100.00/Yr.
Maximum Salary

USD $210,400.00/Yr.