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Senior Data Engineer - PySpark

External
amerilife logoAmerilife · Remote
$125K–$145K/yrFull-timeRemote2w ago
AWSAzureComplianceETLPerformance OptimizationPySpark
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Responsibilities

  • Build and maintain PySpark pipelines in Databricks
  • Develop scalable data ingestion and transformation workflows
  • Implement data validation and quality checks
  • Optimize Spark workloads and processing performance
  • Work closely with architecture and analytics teams
  • Core Technical Skills
  • Strong expertise in Python and SQL
  • Experience with PySpark, Spark, and Databricks
  • Experience building ETL/ELT pipelines
  • Strong understanding of data transformation and performance optimization
  • Additional Expectations
  • Strong communication and teamwork skills
  • Ability to collaborate across engineering and analytics teams
  • Passion for building scalable data systems
  • Bonus Qualifications
  • Databricks certification
  • AWS or Azure certification

Benefits

Salary Range: $125,000 to $145,000This role may be eligible for a discretionary annual bonus.Salary offers will vary commensurate with experience, education, skills, and trainingWhat AmeriLife OffersA comprehensive benefits package that includes PTO, medical, dental, vision, retirement savings, disability insurance, and life insurance.Equal Employment Opportunity StatementAmericans with Disabilities Act (ADA) StatementPay Transparency StatementBackground Screening StatementHealth insuranceDental insuranceVision insurancePaid time offEquity / stock optionsPerformance bonus

Additional Information

Our Company Explore how you can contribute at AmeriLife. For over 50 years, AmeriLife has been a leader in the development, marketing and distribution of annuity, life and health insurance solutions for those planning for and living in retirement. Associates get satisfaction from knowing they provide agents, marketers and carrier partners the support needed to succeed in a rapidly evolving industry. Job Summary The Senior Data Engineer will design and develop scalable data pipelines that support analytics, reporting, and AI initiatives across the enterprise data platform. Job Description

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