Senior Data Engineer
Listed on 2026-10-01
-
IT/Tech
Data Engineering, AWS, Data Warehousing
EXL Service is hiring a Senior Data Engineer to support complex data engineering initiatives within its insurance data and analytics practice. In this onsite role in Jersey City, NJ
, you will help build and modernize the data foundation behind analytics workloads, with an emphasis on reliable pipelines, cloud-based orchestration, and data quality validation.
You will design end-to-end data solutions and develop scalable ELT/ETL workflows using Py Spark ,
Snowflake
, and AWS
. The position also includes working with SQL transformations
, stored procedures
, and validation frameworks to ensure data is accurate and production-ready. A base compensation range of USD 100,000 to 125,000 per year is offered.
- Design and implement end-to-end data pipelines using Py Spark ,
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
, including stored procedures - Create and maintain data quality validation frameworks to support trustworthy downstream analytics
- Establish and enforce data engineering standards
, coding best practices, and pipeline documentation - Provide hands‑on troubleshooting and performance optimization across the data stack
- Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field
- Py Spark
- Snowflake
- AWS
- ELT/ETL
- SQL
For more information on benefits and what EXL Service offers, please visit
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