Data Engineer || Candidates from WI or MN only

Hybrid in Minneapolis, MN, US • Posted 3 hours ago • Updated 3 hours ago
Contract W2
No Travel Required
Hybrid
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Data Lake
  • Azure
  • PySpark
  • Microsoft Azure
  • Analytics
  • SQL

Summary

Job Description:

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

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
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91140717
  • Position Id: 8947916
  • Posted 3 hours ago
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