Senior Data Engineer

Nucor Business Technology (NBT) is hiring a full-time Senior Data Engineer to help build and evolve the data platform, standards, and roadmap that power secure, scalable, and reliable data pipelines and lakehouse infrastructure. This onsite role is based in Waterloo, IN, United States and is designed for a senior individual contributor who can set direction and raise the bar for engineering execution.

You will expand the team’s Lakehouse pattern by defining layer boundaries, clarifying what belongs where, and establishing how domains relate. Alongside technical leadership, you will ensure monitoring and observability practices help surface issues early, while partnering across IT, Database Administrators, and Nucor business divisions (including NBG) to support secure connectivity, network security, and data access policy.

• Build and standardize the Lakehouse pattern
  , including layer boundaries, ownership rules, and domain relationships, plus transformation and orchestration standards used by other engineers.
• Provide technical leadership through mentorship, review of pipeline and transformation designs before implementation, and problem resolution for complex issues.
• Own the monitoring and observability standard so data and pipeline problems are identified before stakeholders are impacted.
• Partner with Database Administrators
  , IT, and Nucor business divisions (including NBG) on connectivity, network security, and data access policy; represent NBT in enterprise forums and communities of practice while building durable relationships across Nucor divisions.
• Lead the data platform and engineering tooling roadmap by prioritizing legacy platform migrations, establishing migration and cutover standards, guiding decision-making around migrate/rebuild/retire, and advising BI and application leadership on data platform initiatives.
• Treat data accuracy, reliability, and platform availability as safety-critical responsibilities by proactively identifying and escalating risks related to data quality, platform stability, and access control.

• Bachelor’s degree in Computer Science, Information Systems, or a related discipline.
• 10+ years of experience in data engineering, business intelligence architecture, or enterprise data platform roles.
• 5+ years in a senior-level technical role (for example, senior engineer, architect, or similar) with mentorship, coaching, or technical guidance responsibilities.
• Experience architecting and operating an enterprise data warehouse or cloud data platform that serves as a source of truth for organizational reporting and analytics (examples listed:
  Azure Synapse
  , Databricks
  , Microsoft Fabric
  ).
• Legally authorized to work in the United States without sponsorship
  , now and in the future (NBT is unable to provide sponsorship).
• Safety is the most important part of all jobs within Nucor, including the ability to initiate, lead, and uphold safety policies, practices, procedures, and housekeeping standards at all times.

• Azure Synapse
  , Databricks
  , Microsoft Fabric
• Lakehouse,
  Data Lake Storage Gen2
  , Key Vault
• Python
  , Azure Dev Ops
  , ARM/Bicep
  , Terraform
• Power BI
  , CI/CD

• Medical, Dental, Vision
• Disability Insurance
• 401K and Roth accounts
• Profit sharing
• Pay-for-performance bonuses
• Paid parental leave
• Tuition reimbursement
• Stock program
• Scholarships and more

• Hands-on Databricks development for specific initiatives (including Python-based data engineering work) and/or Microsoft Fabric (Lakehouse, Data Factory, Notebooks).
• Experience designing dimensional/star-schema models and semantic layers for business reporting, including gold-layer design within a medallion/lakehouse pattern.
• Working knowledge of Azure data services:
  Data Lake Storage Gen2
  , Key Vault
  .
• Experience with CI/CD and infrastructure-as-code for data engineering artifacts (Azure Dev Ops; ARM/Bicep or Terraform).
• Experience mentoring engineers, building career/skills rubrics, and setting technical standards for a team.
• Hands-on experience optimizing Power BI/Fabric capacity, cost, and performance.
• Experience integrating and consolidating data across multiple ERP systems.
• Experience with Master Data Management
  , data governance, and customer/product identity resolution.
• Experience in manufacturing, industrial, or similarly operations-driven sectors is a plus.