Data Engineer I (aws, Python, Sql)

Travelers

Base: $109,300.00 - $180,200.00; bonus/equity: per...
Aws glue step functions pyspark
Python sql programming proficiency
Cloud platform engineering experience
This role involves actively modernizing data platforms by migrating legacy processes to cloud-native architectures using AWS Glue, Step Functions, and PySpark

Job Summary

  • This role involves actively modernizing data platforms by migrating legacy processes to cloud-native architectures using AWS Glue, Step Functions, and PySpark.
  • Employees are eligible for a comprehensive benefits package including health insurance from day one, a 100% funded pension plan, and up to 20 days of paid time off annually.
  • The ideal candidate will work alongside Actuarial and Data Science partners to turn analytical ideas into trusted, production-grade assets that directly influence pricing outcomes.

Matching Summary

This role involves actively modernizing data platforms by migrating legacy processes to cloud-native architectures using AWS Glue, Step Functions, and PySpark.

Salary

Base: $109,300.00 - $180,200.00; Bonus/Equity: Performance-based cash incentive awards available; Benefits: Health insurance, 401(k) match, pension plan, PTO

Skills & Requirements

Must-have

  • AWS Glue Step Functions PySpark
  • Python SQL programming proficiency
  • Cloud platform engineering experience
  • MLOps model implementation support
  • Actuarial data science collaboration

Nice-to-have

  • Cross-functional team collaboration skills
  • Domain expertise in insurance pricing
  • Agile methodology application
  • Strong verbal written communication
  • Self-motivated growth mindset

Key Requirements

  • Bachelor's degree in STEM or equivalent
  • Six years of related software/data engineering experience
  • Two additional years of specific software/data engineering experience

Work Rights

Not specified

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