About Evernorth
Evernorth℠ exists to elevate health for all, because we believe health is the starting point for human potential and progress. As champions of affordable, predictable, and easy health care, we solve the problems others don’t, won’t, or can’t.
Our Innovation Hub in India enables us to work with world-class talent, expand our global footprint, strengthen our competitive position, and better deliver on our promises to stakeholders. We are passionate about making healthcare better by delivering solutions that make a real difference.
We are always looking upward—and that starts with finding the right talent to help us get there.

Position Overview
Evernorth is seeking a build-and-operate Data Engineer/Developer to code, deploy, and support data pipelines within our Data & Analytics organization. You will build ETL/ELT in Databricks (Python/Spark), write scalable SQL transformations, and integrate data from multiple sources into curated, production-ready datasets. You will own the full pipeline lifecycle development, release, monitoring,



and ongoing optimization to keep data flowing reliably for downstream systems.
You will implement end-to-end Databricks jobs from ingestion through transformation and delivery, including reusable frameworks, data-quality checks, and unit/integration tests. You will operate what you build schedule and orchestrate runs, monitor clusters and job health, troubleshoot failures, and remediate data issues to meet delivery SLAs. You will continuously tune Spark code and pipeline design for performance and cost and automate deployments using CI/CD and operational runbooks.

Responsibilities
- Design, build, and deploy ETL pipelines to ingest, transform, and load data from multiple sources.
- Develop and maintain data catalogues and metadata management to improve data discovery and governance.
- Implement automated data-quality validations and monitoring to ensure accuracy, completeness, and consistency.
- Monitor and troubleshoot

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