Job ID: JOB_ID_5493
Role Summary
Senior, hands-on data engineering contractor to support Modern data platform delivery across Health Payer Domains. This role requires independent ownership of end-to-end data pipelines using modern cloud and Lakehouse architecture. This is a hit-the-ground-running role with minimal ramp-up. Healthcare / Payer domain experience (Clinical, Claims, Provider) is required.
Key Responsibilities
- Design, build, and operate end-to-end data pipelines: Source ingestion, transformation, analytics-ready datasets.
- Develop transformations and data models using SQL and Python.
- Implement automated data quality checks and validations.
- Follow Git-based 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 (Must Have 80%)
Candidates must have strong, recent hands-on experience with most of the following:
- Languages: SQL, Python (PySpark preferred).
- Data Platforms / Storage: Cloud data platforms (Azure preferred; AWS/GCP 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 / Nice to Have Technologies
- Microsoft Fabric Data Factory / Azure Data Factory.
- Fabric or Databricks Notebooks.
- Orchestration tools (Airflow, Dagster, or similar).
Required Experience
- 7+ years of hands-on data engineering experience.
- Proven delivery of production-grade data pipelines.
- Experience working independently with minimal supervision.
- Strong understanding of data quality, reliability, and operational readiness.
Ideal Candidate Profile
- Senior, hands-on data engineer.
- Engineering generalist (not tool-only or reporting-only).
- Comfortable working in ambiguous, fast-moving environments.
- Strong delivery and ownership mindset.
Special Requirements
Domain: Health Payer Domains (Clinical, Claims, Provider). Location: Must be local to MN or WI. Work Location: Hybrid/Remote. Interviews: 1st round: 30 minutes with Hiring Manager, 2nd round: 1 hour with Team members.
Compensation & Location
Salary: $70 – $85 per year (Estimated)
Location: Minnetonka, MN
Recruiter / Company – Contact Information
Email: it.phogat@vizoninc.com
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