Skip to main content
Tallo logoTallo logo
Apply for this opportunity

This job application is on an outside website. Be sure to review the job posting there to verify it's the same.

Apply Offsite

Sr. Data Engineer-Medica

Job

ISite Technologies Inc

Remote

Full-Time

Posted 5 days ago (Updated 2 days ago) • Actively hiring

Expires 7/25/2026

Review key factors to help you decide if the role fits your goals.
How is this calculated?
Pay Growth
?
out of 5
Not enough data
Not enough info to score pay or growth
Job Security
?
out of 5
Not enough data
Calculating job security score...
Total Score
81
out of 100
Average of individual scores

Were these scores useful?

Skill Insights

Compare your current skills to what this opportunity needs—we'll show you what you already have and what could strengthen your application.

Job Description

Job Role :
Sr. Data Engineer- Medica-
Location:
Hybrid in Minneapolis, MN or Madison,
Experience:
10+
Years Skills:
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. 3. 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 4. Required Technologies (Must‑Have) 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/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 5.
Preferred / Nice
‑to‑Have 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) 6. 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 7. 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