Cyber Data Engineer

Pacific Northwest National Laboratory • Richland, WA

4d

About The Position

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.
The Cybersecurity & DigitalOps Division governs, secures, manages, and supports the core computing infrastructure and services at PNNL. We protect and defend PNNL’s infrastructure, data, and reputation from cyber adversaries and we influence, advance, and showcase cybersecurity research at PNNL through strong partnerships with our research groups. Our core infrastructure technology and services deliver rigorous, efficient, and operationally excellent services to the Laboratory, maximizing productivity and enabling employees to work anytime, anywhere.
PNNL is looking for a Data Engineer to join our Cybersecurity Data Science & AI team. We are looking for an experienced engineer with a passion for cybersecurity who wants to help build the data platforms and front-end interfaces for innovative cyber analytics capabilities. This critical role is part of a growing team of experienced cybersecurity experts with a culture of collaboration, creativity, agility, and professional delivery. Your contributions will directly impact the cyber defense of PNNL and our support of diverse sponsor missions.
Our team is taking on big challenges and working on innovative approaches to stay ahead of our cyber adversaries. If you're an experienced data engineer with a passion for cybersecurity, this role provides the opportunity to make a big impact and play a key role in achieving our vision for data science and AI.

Requirements

• BS/BA and 2 years of relevant experience -OR-
• MS/MA -OR-
• PhD
• U.S. Citizenship
• Background Investigation: Applicants selected will be subject to a Federal background investigation and must meet eligibility requirements for access to classified matter in accordance with 10 CFR 710, Appendix B.
• Drug Testing: All Security Clearance positions are Testing Designated Positions, which means that the applicant selected for hire is subject to pre-employment drug testing, and post-employment random drug testing. In addition, applicants must be able to demonstrate non-use of illegal drugs, including marijuana, for the 12 consecutive months preceding completion of the requisite Questionnaire for National Security Positions (QNSP).
• Note: Applicants will be considered ineligible for security clearance processing by the U.S. Department of Energy if non-use of illegal drugs, including marijuana, for 12 months cannot be demonstrated.

Nice To Haves

• Degree and educational coursework in Computer Science, Software Engineering, or a related technical field.
• Experience designing and managing large-scale and high-performance ETL pipelines, cloud infrastructure, deploying analytics/machine learning applications and/or building enterprise dashboards.
• UI/UX optimization experience and training.
• Experience with a variety of data platforms such as Splunk, Elastic, SQL and NoSQL databases, cloud data services.
• Software development/scripting experience (eg: Python, REST APIs).
• Supporting CI/CD pipelines (eg: GitHub Actions, GitLab pipelines).
• Writing guidelines, procedures, and business rules to support software development lifecycle.
• Collaborating/supporting Data Scientists/Analysts, Machine Learning Engineers, and/or Software Engineers.
• Strong peer leadership, interpersonal, collaborative, and customer relationship skills.

Responsibilities

• Design, build, and optimize customer-facing web applications that serve as the front end portal for Cybersecurity Data Science & AI. Provide technical leadership around modern software engineering and UI/UX fundamentals.
• Work closely with data scientists, cyber analysts, and other engineers to understand requirements and design scalable and high performance solutions for innovative cyber analysis capabilities.
• Design, build, deploy, and maintain a variety of cyber platforms, tools, and data pipelines to enable advanced analytics, data science, and AI/ML solutions, both on-premise and in the cloud.
• Work independently and lead collective team efforts to achieve cyber program objectives.

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Ph.D. or professional degree