Lead Databricks Engineer with Python (Need Only local to MN)

Eagan, MN, US • Posted 1 day ago • Updated 1 day ago
Contract Corp To Corp
Contract W2
Contract Independent
6 Months
No Travel Required
Able to Sponsor
On-site
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Python
  • AI
  • Healthcare

Summary

Title: Senior / Lead Data Engineer

Location: Eagan, MN (Hybrid – 2 days/week onsite)
Duration: 3–6 Months Contract-to-Hire
Start Date: ASAP

Job Summary

We are seeking a Senior/Lead Data Engineer to modernize and own enterprise data pipelines by migrating legacy SAS-based workflows to Python/PySpark on Databricks. The engineer will partner with SMEs during the transition period and eventually take ownership of a critical healthcare analytics pipeline supporting HEDIS reporting.

Key Responsibilities

  • Migrate legacy SAS pipelines to Python/PySpark on Databricks.
  • Design, build, and maintain scalable ETL/ELT pipelines.
  • Develop distributed data processing solutions using Databricks.
  • Create and optimize complex SQL queries.
  • Schedule, automate, and monitor data pipelines.
  • Work with AWS services including S3, Lambda, Glue, and EC2.
  • Manage Databricks notebooks, workflows, and clusters.
  • Collaborate with business stakeholders and SMEs to transition pipeline ownership.
  • Follow Agile methodologies and Git-based development practices.

Required Skills

  • 8+ years of Data Engineering experience.
  • Strong Python programming and scripting skills.
  • Hands-on PySpark development.
  • Extensive Databricks experience (Notebooks, Workflows, Cluster Management).
  • Experience processing large datasets in distributed environments.
  • Strong SQL skills.
  • AWS experience with:
    • S3
    • Glue
    • Lambda
    • EC2
  • Experience building and automating ETL/ELT pipelines.
  • Git/version control experience.
  • Agile/Scrum experience.

Preferred Skills

  • Experience with SAS-to-Python migration.
  • AI/Automation experience.
  • Healthcare or HEDIS domain experience.
  • Lead/Principal Data Engineering experience.

Must-Have Skills

  • Python
  • PySpark
  • Databricks
  • SQL
  • AWS (S3, Glue, Lambda, EC2)
  • ETL/ELT Pipeline Development
  • Distributed Data Processing
  • Git
  • Agile/Scrum

Nice-to-Have Skills

  • SAS Modernization
  • AI/Generative AI
  • Healthcare/HEDIS
  • Airflow or other workflow orchestration tools
  • Leadership/Pipeline Ownership experience
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: 10120317
  • Position Id: 9033236
  • Posted 1 day ago
Contact the job poster
Chandee Pandey

Chandee Pandey

Recruiter! @ Sovereign Technologies
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