| Location | Lansing, MI |
Required qualifications
Bachelor’s degree. The detailed JD specifies Computer Science, Data Science, or Information Systems.
4+ years building extract-and-load pipelines that ingest relational, semi-structured, and unstructured data into an enterprise data lake on AWS, Azure, or Google Cloud.
4+ years transforming cloud data lake datasets into data products with attributes traceable to critical data elements in source systems.
2+ years enforcing data-sharing policies so subscribers receive only the data product version they’re entitled to access.
Technical focus Lakehouse and Medallion architecture, Python/PySpark, SQL, Parquet, and star-schema modeling. Preferred experience includes Databricks or SageMaker, GitHub/Jenkins/Terraform, and cloud governance tools that automate access controls at subscription.