Data Engineer

Argonne National Laboratory is seeking a senior data engineer to design and build enterprise data solutions supporting reporting, analytics, automation, and data-driven decision-making. The role combines hands-on engineering, data architecture, AI-assisted data engineering, and technical leadership across the laboratory.

Responsibilities:

• Design and build scalable data pipelines, integrations, data models, and enterprise data solutions
• Help architect and evolve enterprise data warehouse, analytics, and cloud data platforms
• Work directly with stakeholders and technical teams to translate business needs into effective data solutions
• Develop data models that support reporting, analytics, automation, AI, and other enterprise data needs
• Explore and apply AI-assisted approaches to data engineering, including opportunities to improve data modeling, transformation, quality, development, and automation
• Apply software engineering best practices including testing, source control, code review, and CI/CD
• Improve data quality, governance, reliability, performance, and maintainability
• Help define technical standards, architecture, and the long-term direction of the enterprise data platform
• Provide technical project leadership to other engineers
• Evaluate emerging technologies and identify opportunities for modernization and innovation

Requirements:

• Minimum of a Bachelor's degree and 6+ years of related experience, or a minimum of a Master's degree and 4+ years, or equivalent
• To perform the essential functions of this position successful applicants must provide proof of U.S. citizenship, which is required to comply with federal regulations and contract
• Experience with Microsoft Azure data technologies, including Fabric, Synapse, Data Factory, or Databricks
• Experience with Microsoft SQL Server and enterprise data warehouse environments
• Experience with Power BI, semantic models, or other business intelligence platforms
• Experience with Informatica or similar ETL/ELT platforms
• Familiarity with Microsoft Purview or other data governance and cataloging tools
• Experience with APIs, cloud or hybrid data architectures, and enterprise application integration
• Experience contributing to data architecture, analytics strategy, or technology roadmaps
• Experience applying AI or AI-assisted development tools to data engineering, analytics, software development, or related workflows
• Ability to model Argonne's core values of impact, safety, respect, integrity and teamwork