Senior Data Engineer – PySpark

AmeriLife

Senior Data Engineer developing scalable data pipelines for analytics and AI initiatives at AmeriLife. Collaborating with architecture and analytics teams to optimize data processing.

Posted 4/14/2026full-timeRemote • Florida, Massachusetts, Missouri, Montana, Rhode Island • 🇺🇸 United StatesSenior💰 $125,000 - $145,000 per yearWebsite

Tech Stack

Tools & technologies

AWSAzureETLPySparkPythonSparkSQL

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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
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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Applicant Tracking System Keywords

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Hard Skills & Tools

PythonSQLPySparkSparkDatabricksETLELTdata transformationperformance optimizationdata validation

Certifications

Databricks certificationAWS certificationAzure certification