Software Engineering Lead Analyst - HIH - Evernorth

Evernorth, a leading Health Services company, is looking for exceptional data engineers/developers in our Data and Analytics organization. In this role, you will actively participate with your development team on initiatives that support Evernorth's strategic goals as well as subject matter experts to understand business logic you will be engineering. As a software engineer, you will help develop an integrated architectural strategy to support next-generation capabilities on an enterprise-wide scale. You will work in an agile environment, delivering user-oriented products.

The ideal candidate will work in a team environment that demands technical excellence, whose members are expected to hold each other accountable for the overall success of the end product. Focus for this team is on the delivery of innovative solutions to complex problems, but also with a mind to drive simplicity in refining and supporting of the solution by others

• →Design and implement ETL processes to extract, transform, and load data from various sources.
• →Conduct research and perform proof of concept (POC) activities
• →Continuously learn and master new technologies
• →Use vibe coding tools to improved development velocity
• →Collaborate with cross-functional teams to understand data requirements and deliver solutions.
• →Optimize and maintain existing ETL workflows for improved efficiency and performance.
• →Ensure data integrity and quality through rigorous testing and validation.
• →Create and implement best practices to ensure successful delivery and support of large data transformation layer.
• →Collaborate with other team members to ensure timely and successful delivery of production ready applications.
• →Prepare detailed technical documentation.

• 5 - 8 years of relevant ETL development.
• 4+ years of experience on Databricks.
• 4+ years of experience on Python.
• Hands-on experience with building data integration solutions.
• Experience with both NOSql and Relational Database Development – e.g. Mongo, Postgres, Teradata, SQL Server required.
• Experience with Data Warehouse, Data Lake, and Lake House technologies
• Strong understanding of database concepts and experience with query optimization and performance tuning.
• Hands-on experience with scripting languages like Python.
• Hands on experience with Databricks and Airflow monitoring.
• Excellent problem-solving skills and the ability to analyze complex issues and implement effective solutions.

• Experience with Denodo Platform administration including VDP server configuration, data source setup, view creation (base views, derived views, interface views), role-based access control (RBAC), and cache management.

• Hands-on experience with Denodo Solution Manager for environment promotion, deployment management, and multi-environment lifecycle (DEV → PROD) governance.

• Experience configuring and tuning Presto/MPP engine within Denodo, including memory settings, concurrent query limits, and query cost optimization.

• Familiarity with Denodo SSO integration using SAML/OAuth providers (e.g., Okta) and managing user/group mappings across environments.

• Experience with Denodo JDBC/ODBC connectivity to BI tools such as Tableau, including driver configuration and connection troubleshooting.

• Hands-on experience in automating code/artifact migration across environments (DEV → UAT → PROD) using CI/CD pipelines, scripting, or platform-native tools such as Denodo Solution Manager, Databricks Repos, or AWS CodePipeline.

• Python, Databricks, Cloud Experience (AWS/Azure)
• Denodo VDP, Presto/MPP, Data Virtualization

• Data Virtualization tools, Databricks Certifications, Cloud Certification (AWS Developer Associate or similar)
• Denodo Platform 8.0+ certification or equivalent hands-on admin experience.
• Experience deploying and managing Denodo on AWS EC2, including OS-level configuration, JVM tuning, and log management.