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Job Description

EXL Service is looking for a Senior Data Engineer to support complex data engineering initiatives within its insurance data and analytics practice. This onsite role in Jersey City, NJ centers on building reliable, cloud-based data foundations that enable analytics across the insurance domain.

In this position, you will work on end-to-end pipelines, ELT/ETL workflows, and data quality validation in cloud environments, partnering with teams to modernize legacy systems and improve performance across the data stack.

Key Responsibilities

  • Design and implement end-to-end data pipelines using PySpark, Snowflake, and AWS cloud services
  • Architect scalable ELT/ETL workflows and data warehouse models for insurance analytics use cases
  • Lead data migration and modernization efforts from legacy environments to cloud-native platforms
  • Develop and review complex SQL transformations, stored procedures, and data quality validation frameworks
  • Define and enforce data engineering standards, coding best practices, and pipeline documentation
  • Provide hands-on troubleshooting and performance optimization across the data stack

Required Qualifications

  • Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field

Technology Focus

  • PySpark
  • Snowflake
  • AWS
  • ELT/ETL
  • SQL

Compensation

Base compensation range: USD 100,000 - 125,000 per year

Location and Workplace Details

Onsite in Jersey City, NJ

Benefits Information

For more information on benefits and what EXL Service offers, visit: https://www.exlservice.com/us-careers-and-benefits

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