AmeriLife
1001 - 5000 employees
Founded 1973
💸 Finance
💰 Secondary Market on 2022-06
Finance • Insurance
AmeriLife is a leading independent marketing organization and registered investment advisor in the United States. It provides comprehensive insurance and financial solutions to agents, advisors, and consumers, aiming to help people live longer, healthier lives. AmeriLife collaborates with numerous carriers, financial marketing organizations (FMOs), and industry experts to deliver health and financial solutions to millions of Americans annually. With a vast network of over 300,000 client-centered agents and advisors, AmeriLife offers advanced technology solutions and tools, like the Agent Xcelerator®, to enhance service quality and business growth. Their commitment to leadership is evident in their extensive distribution network and innovative partnership opportunities.
Lead Data Engineer – Databricks
🕒 April 14
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AmeriLife
1001 - 5000 employees
Founded 1973
💸 Finance
💰 Secondary Market on 2022-06
Finance • Insurance
AmeriLife is a leading independent marketing organization and registered investment advisor in the United States. It provides comprehensive insurance and financial solutions to agents, advisors, and consumers, aiming to help people live longer, healthier lives. AmeriLife collaborates with numerous carriers, financial marketing organizations (FMOs), and industry experts to deliver health and financial solutions to millions of Americans annually. With a vast network of over 300,000 client-centered agents and advisors, AmeriLife offers advanced technology solutions and tools, like the Agent Xcelerator®, to enhance service quality and business growth. Their commitment to leadership is evident in their extensive distribution network and innovative partnership opportunities.
📋 Description
• 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
• 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
• PTO • medical • dental • vision • retirement savings • disability insurance • life insurance
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