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PN
Pacific Northwest National Laboratory
Data Engineer
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What they do
A Data Engineer designs, builds and manages the information or big data infrastructure. Develops the architecture that helps analyze and process data in the way the organization needs it. Makes sure those systems are performing smoothly.
$121,340 / year median in Washington
+18% projected growth
Job Description
Overview:
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 directorates related to Mission Support & Operations include Office of General Counsel, Business Services, Communications and External Engagement, Operational Systems, Communications and Information Technology, and Performance Management. 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, 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.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.
Click Here For Rockstar Rewards Responsibilities:
The Data & Analytics group at PNNL is seeking an early‑career Data Engineer to support and enhance the Laboratory's enterprise data platforms. This role is responsible for maintaining the reliability and performance of the legacy Data Warehouse while contributing to the multi‑year transition toward an Azure Databricks lakehouse architecture. The successful candidate will possess a solid foundation in SQL and a demonstrated interest in enterprise data operations. Working under the guidance of experienced mentors, the Data Engineer will engage in structured development activities, operational troubleshooting, documentation improvements, and incremental modernization tasks. This position offers a clear growth pathway and hands-on experience with both established and emerging data engineering technologies and practices.Key Responsibilities:
Support day-to-day operations of our production Data Warehouse with guidance from senior engineers Maintain and enhance existing SQL-based logic (queries, views, and stored procedures) used to curate and publish trusted datasets. Assist with data modeling and documentation (e.g., basic dimensional modeling concepts, lineage, and dataset definitions). Support DW-to-lakehouse migration work (Azure Databricks) by helping with data mapping, validation, and reconciliation Collaborate with technical peers and stakeholders to clarify requirements and deliver reliable data outputs.Work in an agile environment:
manage assigned work, participate in standups/sprint activities, and communicate progress and blockers. Grow your technical breadth —starting with DW support and expanding into Databricks, automation, and modern pipeline patterns as readiness and project needs align.Qualifications:
Minimum Qualifications:
BS/BA and 2 years of relevant experience- OR•MS/MA•OR•