Lead Data Engineer

CarePlus Health Plans Inc

Remote, US
Base: $142,300 - $195,700 py; bonus: eligible for ...
**
5+ years data engineering experience
Databricks apache spark unity catalog delta lake
Medallion architecture bronze silver gold layers
** CarePlus Health Plans Inc is seeking a Lead Data Engineer to join their remote ITSM Applied AI and Analytics team. The role involves leading the development of an enterprise data store using Azure Databricks, mentoring team members, and ensuring high-quality data solutions while implementing best practices in data engineering. **

Job Summary

  • This role leads the development of an enterprise-facing data store on Azure Databricks within a caring healthcare community.
  • The successful candidate will architect scalable data workflows using Medallion Architecture and manage compute costs effectively.
  • Humana offers competitive benefits including health coverage effective day one, a generous PTO package, and a 401k match.

Matching Summary

Match Score: 75

** CarePlus Health Plans Inc is seeking a Lead Data Engineer to join their remote ITSM Applied AI and Analytics team. The role involves leading the development of an enterprise data store using Azure Databricks, mentoring team members, and ensuring high-quality data solutions while implementing best practices in data engineering. **

Salary

Base: $142,300 - $195,700 per year; Bonus: Eligible for incentive plan based on performance; Benefits: Medical, dental, vision, 401k match, PTO, volunteer time off

Skills & Requirements

Must-have

  • 5+ years data engineering experience
  • Databricks Apache Spark Unity Catalog Delta Lake
  • Medallion Architecture Bronze Silver Gold layers
  • Python programming for data pipelines
  • Kafka real-time data streaming integration
  • GitHub CI/CD DevOps practices

Nice-to-have

  • Databricks Data Engineer Professional certification
  • ServiceNow data structures familiarity
  • Power BI or Power Apps experience
  • Enterprise data governance background
  • Strong communication with non-technical stakeholders

Key Requirements

  • 5+ years in data engineering
  • 2+ years in lead or senior role
  • Deep expertise in Databricks and Spark
  • Proficiency in Python and REST APIs
  • Experience with GitHub and CI/CD pipelines

Work Rights

Not specified

Tailored Resume

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