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AmeriLife

Lead Data Engineer – Databricks

AmeriLife

Lead Data Engineer at AmeriLife developing scalable data pipelines on Databricks. Collaborating with teams and establishing engineering standards.

Posted 4/14/2026full-timeRemote • Florida, Massachusetts, Missouri, Montana, Rhode Island • 🇺🇸 United StatesSenior💰 $150,000 - $175,000 per yearWebsite

Tech Stack

Tools & technologies
AWSAzureETLPySparkPythonSparkSQL

About the role

Key responsibilities & impact
  • Design and build scalable Databricks data pipelines
  • Develop ETL/ELT pipelines using PySpark
  • Implement data ingestion and transformation frameworks
  • Optimize Spark workloads for performance and scalability
  • Establish engineering standards and mentor engineers
  • Collaborate with architecture and analytics teams to enable data products

Requirements

What you’ll need
  • Strong expertise in Python and SQL
  • Deep experience with Databricks, PySpark, and Spark
  • Experience building large-scale data pipelines
  • Strong understanding of data transformation and distributed processing
  • Databricks certification (Bonus)
  • AWS or Azure certification (Bonus)

Benefits

Comp & perks
  • PTO
  • medical
  • dental
  • vision
  • retirement savings
  • disability insurance
  • life insurance

ATS Keywords

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Hard Skills & Tools
PythonSQLDatabricksPySparkSparkETLELTdata ingestiondata transformationdistributed processing
Soft Skills
mentoringcollaborationengineering standards
Certifications
Databricks certificationAWS certificationAzure certification