Cigna Healthcare is seeking a Data Engineer/Lead Analyst to develop and optimize the data products that drive insights and innovation. In this remote role, you will be a key contributor, building scalable pipelines and enabling data-driven decisions with a path to grow into a leadership position.

What You'll Do

Design, build, and maintain robust data pipelines using PySpark, SQL, and Python within the Databricks ecosystem.
Collaborate with cross-functional teams to translate data requirements into scalable engineering solutions.
Own the development and deployment of ETL processes supporting enterprise data products and reporting.
Contribute to data model and architecture design in Snowflake and other cloud platforms.
Participate in code reviews, testing, and documentation to ensure high-quality, maintainable solutions.
Monitor and optimize pipeline performance for reliability and scalability across large datasets.
Support data governance by implementing best practices in version control (Git) and metadata management.
Research and propose new tools or approaches to improve data engineering workflows.
Take initiative in identifying opportunities for automation, efficiency, and innovation.

What We're Looking For

Solid understanding of data engineering principles and cloud-based data platforms.
Hands-on production experience with Databricks, PySpark, and SQL.
Strong problem-solving skills and ability to work independently on technical challenges.
Experience with Git for version control and collaborative development.
Ability to communicate effectively with technical and non-technical stakeholders.
Interest in healthcare data and a desire to make a meaningful impact through data-driven solutions.
2+ years of experience in data engineering or a related technical role.
Demonstrated understanding of data architecture and modeling concepts.
Must have access to a reliable internet connection (minimum 10Mbps download / 5Mbps upload) if working remotely.

Nice to Have

Bachelor of Science in Computer Science, Information Technology, Data Science, or a related field.
Experience in healthcare, biotech, or pharmaceutical industries.

Technical Stack

PySpark
SQL
Python
Databricks
Snowflake
Git

Benefits & Compensation

Compensation: $80,400 - $134,000 per year.
Comprehensive health benefits including medical, vision, dental, and well-being and behavioral health programs.
401(k) with company match.
Company paid life insurance.
Tuition reimbursement.
A minimum of 18 days of paid time off per year and paid holidays.

Work Mode

This is a remote position.

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.