JOB Title: Data Engineer
Location: Minneapolis, MN and Madison, WI (Locals Only) HYBRID
Duration: 6 Months Contract to Hire
heavy Azure experience with that Lakehouse, Data Lake and SQL and Python experience necessary to be successful. Also must have the dbt experience as well!
Role Summary:
Senior, handson data engineering contractor to support Modern data platform delivery across Health Payer Domains. This role requires independent ownership of endtoend data pipelines using modern cloud and Lakehouse architecture. This is a hitthegroundrunning role with minimal rampup.
- Key Responsibilities:
- Design, build, and operate endtoend data pipelines
- Source ingestion transformation analyticsready datasets
- Develop transformations and data models using SQL and Python
- Implement automated data quality checks and validations
- Follow Gitbased development
- Collaborate with business/domain stakeholders on data rules and definitions
- Ensure solutions are secure, auditable, reliable, and supportable
- Produce clear technical documentation and operational notes
- Required Technologies (MustHave)
Candidates must have strong, recent handson experience with most of the following:
Languages:
- SQL
- Python (PySpark preferred)
Data Platforms / Storage:
- Cloud data platforms (Azure preferred; AWS/Google Cloud Platform acceptable)
- Azure Data Lake Storage Gen2 (ADLS Gen2) or equivalent
- Object storage based data lakes
- Parquet format
- Lakehouse concepts (Iceberg and/or Delta)
Transformation & Modeling:
- dbt (dbt Core and/or dbt Cloud)
Source Control, GitOps & CI/CD:
- GitHub
- Pull request based development
- CI/CD pipelines (GitHub Actions or equivalent)
Compute (one or more):
- Snowflake
- Microsoft Fabric
- Databricks
- Preferred / NicetoHave Technologies:
- Microsoft Fabric Data Factory / Azure Data Factory
- Fabric or Databricks Notebooks
- Orchestration tools (Airflow, Dagster, or similar)
- Healthcare / payer domain experience (Clinical, Claims, Provider)
- Required Experience:
- 7+ years of handson data engineering experience
- Proven delivery of productiongrade data pipelines
- Experience working independently with minimal supervision
- Strong understanding of data quality, reliability, and operational readiness
- Ideal Candidate Profile:
- Senior, handson data engineer
- Engineering generalist (not toolonly or reportingonly)
- Comfortable working in ambiguous, fastmoving environments
- Strong delivery and ownership mindset
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