Software Engineering Advisor – eviCore

Drive data innovation that powers smarter healthcare decisions.

• Design and build scalable ETL pipelines that enable reliable data flow from source to target environments using tools such as Databricks, Azure Data Factory, and SSIS.
• Develop and enhance dimensional data models to support analytics, reporting, and business insights.
• Apply business rules through code (SQL, Python, Scala, Spark) to ensure data accuracy, consistency, and usability across stakeholders.
• Optimize and fine‑tune existing data pipelines to improve performance, efficiency, and scalability.
• Troubleshoot data and ETL issues, ensuring timely resolution and minimal impact to downstream processes.
• Collaborate in Agile development practices, including sprint ceremonies, peer code reviews, and quality assurance activities.
• Provide production support, including on‑call rotation and partnership with offshore operations teams.
• Train and enable operations teams on newly developed data processes and enhancements.
• Create and maintain clear documentation of data architecture, ETL processes, and data management practices.
• Partner with business users to support reporting and analytics needs using tools such as Tableau, Micro Strategy, and SSRS.
• Leverage AI‑assisted development tools (e.g., Git Hub Copilot, Cursor) to improve development efficiency and code quality.

• 5+ years of experience building data engineering solutions in Big Data and/or cloud environments.
• Strong proficiency in Spark, Python, and SQL, with hands‑on experience in Databricks or similar platforms.
• Experience working with relational databases such as SQL Server, DB2, or Oracle.
• Solid understanding of data modeling, data architecture, and data governance principles.
• Experience developing and maintaining ETL pipelines in enterprise environments.
• Ability to troubleshoot complex data issues and optimize performance across systems.
• Strong communication skills with the ability to translate technical concepts for diverse audiences.
• Proven ability to collaborate within cross‑functional and Agile teams.

• Experience implementing Azure‑based data solutions (ADLS, Azure Databricks, Synapse, Azure Data Factory).
• Experience working with healthcare or clinical data domains.
• Familiarity with reporting and visualization tools such as Tableau, Micro Strategy, or SSRS.
• Experience leveraging AI‑assisted development tools to accelerate engineering workflows.
• Bachelor’s degree in Computer Science, Information Systems, or related field.

• Internet connection must be obtained through a cable broadband or fiber optic internet service provider with speeds of at least 10
  
  Mbps download/5
  
  Mbps upload.

Qualified applicants will be considered without regard to race, color, age, disability, sex, childbirth (including pregnancy) or related medical conditions including but not limited to lactation, sexual orientation, gender identity or expression, veteran or military status, religion, national origin, ancestry, marital or familial status, genetic information, status with regard to public assistance, citizenship status or any other characteristic protected by applicable equal employment opportunity laws.

The Cigna Group has a tobacco‑free policy and reserves the right not to hire tobacco/nicotine users in states where that is legally permissible. Candidates in such states who use tobacco/nicotine will not be considered for employment unless they enter a qualifying smoking cessation program prior to the start of their employment. These states include:
Alabama, Alaska, Arizona, Arkansas, Delaware, Florida, Georgia, Hawaii, Idaho, Iowa, Kansas, Maryland, Massachusetts, Michigan, Nebraska, Ohio, Pennsylvania, Texas, Utah, Vermont, and Washington State.

Qualified applicants with criminal histories will be considered for employment in a manner consistent with all federal, state and local ordinances.