Senior Data Engineer: Lakehouse & Platform Leader

Nucor

Waterloo (IN)

On-site

USD 130,000 - 190,000

Full time

10 days ago

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Job summary

Nucor Business Technology in Waterloo, IN is seeking a Senior Data Engineer to advance the data platform, establish standards, and partner with DBAs, BI analysts, and application teams to deliver scalable solutions.

This senior IC role emphasizes leadership through expertise and technical stewardship, not people management, with a focus on reliability, data quality, and secure, scalable architecture in a fast-paced manufacturing environment.

Qualifications

  • Bachelor's degree in Computer Science, Information Systems, or related discipline.
  • 10+ years in data engineering, BI architecture, or enterprise data platform roles.
  • 5+ years in a senior-level technical role with mentoring responsibility.
  • Experience architecting/operating an enterprise data warehouse or cloud data platform (Azure Synapse, Databricks, Microsoft Fabric).
  • Candidate must be legally authorized to work in the United States without sponsorship.

Responsibilities

  • Build upon the Lakehouse pattern and set transformation and orchestration standards.
  • Provide technical leadership, review pipeline designs, and resolve complex problems.
  • Own monitoring and observability standards to surface issues early.
  • Partner with DBAs, IT, and business divisions on connectivity and data access policy.
  • Lead data platform roadmap, migrations, and governance efforts.

Skills

Technical leadership
Mentor engineers
Data engineering expertise
Stakeholder collaboration

Education

Bachelor's degree in Computer Science / Information Systems

Tools

Azure Synapse
Databricks
Microsoft Fabric
Azure DevOps
Terraform / IaC

Job description

Nucor Business Technology in Waterloo, IN is seeking a Senior Data Engineer to advance the data platform, establish standards, and partner with DBAs, BI analysts, and application teams to deliver scalable solutions.

This senior IC role emphasizes leadership through expertise and technical stewardship, not people management, with a focus on reliability, data quality, and secure, scalable architecture in a fast-paced manufacturing environment.

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