Lead Databricks Engineer with Python (Only local to MN)

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

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Job Details

Skills

  • Python
  • PySpark
  • Databricks
  • SQL
  • AWS

Summary

Lead Databricks Engineer (Contract-to-Hire)

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

< data-start=168 data-end=184>Job Summary

We are seeking a Senior/Lead Data Engineer to modernize and enhance critical enterprise data pipelines by migrating legacy SAS workflows to Python/PySpark on Databricks. This role will initially work alongside SMEs during knowledge transfer and then assume ownership of a high-impact data platform supporting healthcare analytics and reporting.

< data-start=531 data-end=551>Required Skills
  • Strong Data Engineering and application development experience
  • Expert-level Python development and scripting
  • Hands-on experience with PySpark and Databricks
  • Experience building and maintaining large-scale distributed data pipelines
  • Strong SQL skills for complex data extraction, transformation, and optimization
  • Experience with Databricks notebooks, workflows, and cluster management
  • AWS experience with S3, Lambda, Glue, and EC2
  • Experience scheduling, automating, and monitoring data pipelines
  • Git/version control experience in collaborative development environments
  • Experience working with Agile tools, epics, and issue management
< data-start=1206 data-end=1223>Nice to Have
  • AI/ML, Generative AI, or Automation experience
  • Healthcare or HEDIS data experience
  • Lead or Principal-level Data Engineering experience
< data-start=1366 data-end=1391>Key Responsibilities
  • Migrate SAS-based pipelines to Python/PySpark on Databricks
  • Design, develop, and optimize scalable data processing solutions
  • Own and support critical enterprise data pipelines
  • Automate workflows and improve operational efficiency
  • Collaborate with business stakeholders, SMEs, and analytics teams
  • Ensure data quality, reliability, and performance across the platform

Must-Have Skills

  1. Python Development
  2. PySpark
  3. Databricks
  4. SQL
  5. AWS (S3, Glue, Lambda, EC2)
  6. Data Pipeline Development
  7. Distributed Data Processing
  8. Git/Version Control
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: 9001125
  • Posted 1 day ago
Contact the job poster
Chandee Pandey

Chandee Pandey

Recruiter! @ Sovereign Technologies
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