Senior Data Engineer IT (Supply Chain)
$120,000–$165,000 year
On-siteEden Prairie, Minnesota, United States
Job Summary
Lead and mentor a data engineering team to build trusted solutions supporting planning, procurement, manufacturing, inventory, logistics, and transportation. Design scalable pipelines, dimensional models, and semantic assets while establishing best practices for CI/CD, monitoring, and data governance. Partner with stakeholders to modernize enterprise platforms, reduce technical debt, and improve data quality across cloud and legacy environments. Requires 7+ years in SQL and data platforms, 5+ years in Python/ETL, and strong supply chain process knowledge. Must be authorized to work in the U.S. without sponsorship. Salary ranges from $120,000 to $165,000 plus bonus.
Required Qualifications
- Bachelor's degree in Computer Science, MIS, Engineering, Mathematics, or a related field
- 7+ years of experience with SQL and enterprise data platforms
- 5+ years of experience building data pipelines and integrations using Python and/or modern ETL/ELT tools
- Strong experience with data warehousing, dimensional modeling, semantic models, and analytical data structures
- Experience leading technical teams, mentoring engineers, and managing cross-functional initiatives
- Strong understanding of Supply Chain processes such as planning, procurement, manufacturing, inventory, logistics, transportation, or warehousing
- Experience with data quality, monitoring, observability, and production support
- Strong communication, problem-solving, and stakeholder management skills
- Must be authorized to work in the U.S. for any employer and not require current or future visa sponsorship
Desired Qualifications
- Experience with Google Cloud Platform, including BigQuery, Cloud Storage, Composer/Airflow, Dataflow, Pub/Sub, or Data Fusion
- Experience with Incorta, Oracle Analytics Server, AtScale, Cube, or similar analytics/semantic platforms
- Experience with Oracle data warehouses, Informatica, PL/SQL, and advanced SQL performance tuning
- Experience with enterprise data governance, metadata, data quality, and business glossaries
- Experience modernizing cloud and legacy data environments
- Experience in food manufacturing, CPG, Supply Chain, logistics, or related industries
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