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Oak Ridge National Laboratory · 6 hours ago

Data Engineer

Oak Ridge, TN

Full-time

Onsite

Senior Level

5+ years exp

Oak Ridge National Laboratory is seeking a Data Engineer to focus on engineering design, installation, and troubleshooting in the field of stable isotope enrichment. The role involves ensuring seamless data integration across multiple production systems, performing analytics to support decision-making, and collaborating with various teams to meet data-driven needs.

Advanced MaterialsClean EnergyEnergyEnergy ManagementManufacturingNuclearRenewable Energy

No H1B

Security Clearance Required

U.S. Citizen Only

Responsibilities

Ensure seamless data integration across multiple production systems and platforms

Perform analytics on plant operations and business data to support decision-making

Develop and support system-to-system data integrations; may include designing integration workflows

Maintain awareness of and implement basic security requirements related to data handling

Work collaboratively with engineering, IT, R&D and Operations teams to meet data-driven needs

Document processes and develop tools or scripts as needed to support data integrity and performance

Ensure compliance with environment, safety, health, security and quality program requirements

Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote a respectful workplace – in how we treat one another, work together, and measure success

Qualification

Data EngineeringSystem IntegrationData ArchitectureMachine LearningProgramming SkillsRelational DatabasesData VisualizationProblem-SolvingCollaborationAttention to DetailAdaptability

Required

BS degree in Computer Science, Data Engineering, Information Systems, or a related field

5 years of relevant experience in data engineering, architecture, analytics, or a related field

Experience in system integration and data infrastructure support

Experience in data architecture and pipeline development

Strong working knowledge of data flow, processes, and integration design

Basic understanding of cybersecurity practices and requirements in a technical environment

Strong programming skills in production controls, full-stack, or related experience

Proficiency in relational databases and data governance

Proficiency in Machine Learning techniques

Motivated self-starter with excellent problem-solving skills, the ability to work independently, and to participate creatively in collaborative teams across the laboratory

Ability to function well in a production-style environment and the transition from research and development to production including good configuration control and communication

Ability to collaborate with engineers, scientists, designers, and technicians

Ensure compliance with environments, safety, health, and quality program requirements

This position requires the ability to obtain and maintain a DOE Security Clearance, which requires US Citizenship

Preferred

Ability to function well in a fast-paced research environment, set priorities to accomplish multiple tasks within deadlines, and adapt to ever changing needs

Expert programming skills (Python, SQL, JavaScript/TypeScript)

Experience with full-stack development, including front-end (e.g., React, Angular, or Vue.js) and back-end (e.g., Node.js, Flask, or Django) technologies

Experience with AI/ML concepts and tools (e.g., scikit-learn, TensorFlow, or similar) for basic data analysis and predictive modeling

Experience with relational databases (e.g., PostgreSQL, MySQL, SQL Server, SQLite)

Experience with real-time databases (e.g., NI Citadel, Prometheus)

Experience with data visualization (e.g., MS Power BI, Tableau, Denodo, Grafana)

Experience with version control systems (e.g., Mecurial, Git, SVN)

Experience with Microsoft Office Word, Excel, PowerPoint, SharePoint

Familiar with NI LabVIEW graphical programming language

Familiar with network security measures across isolated networks (e.g., Air-gapped)