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# Senior Data Engineer

- **Company:** Exadel, Inc.
- **Location:** Concord, United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Amazon S3, Data as a Services, Data Governance, Data Integrity, Extract Transform Load (ETL), Software Debugging, Distributed Computing Environment, Distributed Systems, Amazon DynamoDB, Python (Programming Language), Machine Learning, MongoDB, Standard Sql, Data Streaming, Apache Spark, Electronic Medical Records, Cloudformation, Data Lakes, Apache Kafka, Spark Streaming, Tools for Reporting, Amazon Simple Queue Service (SQS), Terraform, Data Pipelines
- **Published:** August 24, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/pecdcwdj4k

## About the Role

* Strong proficiency in Python and SQL
 * Experienced in Spark or similar distributed processing technologies
 * Deep experience with AWS data services (Glue, S3, Step Functions, Athena, EMR, DynamoDB, SQS)
 * Experience working with data streaming technologies (Kafka, Spark Streaming, etc.)
 * Experienced in data modeling (preferably in finance or insurance)
 * Familiarity with MongoDB and document-oriented data sources
 * Experience with data lake patterns: medallion architecture (bronze/silver/gold), schema management, incremental processing
 * Comfort with IaC (CloudFormation or Terraform)
 * Ability to debug data quality issues across distributed systems
 * Experience implementing data quality frameworks (e.g., Great Expectations) to ensure pipeline reliability and data integrity

Nice to Have

 * Experience in subrogation, claims processing, insurance or financial technology

## Description

* Design, build, and optimize ETL/ELT pipelines that transform customer and internal data into actionable datasets
 * Partner with Markets and Product teams to develop reporting tools and dashboards that guide business strategy and serve customer needs
 * Build and maintain data lakes and feature stores used by ML Engineering team to develop ML solutions for subrogation


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