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We're building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you'll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time.
Job Responsibility:
Leverage Python to develop new reporting and analytics using healthcare data (medical, pharmacy, lab)
Create business applications to deliver clinical or analytic solutions to constituents in a self-service fashion using Plotly Dash Enterprise
Drive forward enterprise modernization opportunities leveraging Python and cloud-native technologies
Refactor legacy programming code to improve turn-around-times and to take advantage of modern technologies
Communicate with key stakeholders in a way that is easy to understand and actionable
Define and deliver new technical capabilities in support of healthcare business initiatives that drive short- and long-term objectives
Work to expand, scale, and automate the analyses available to the broader team and the Aetna field
Ability to mentor and knowledge share with peers
Monitor and maintain applications and production processes required to deliver on business commitments
Use analytics and technology to solve business needs as well as to demonstrate to customers the value of Aetna's integration with CVS Health
Requirements:
3+ years of experience with a Python Data Engineering Stack in a professional environment
3+ Experience with SQL query development, working in a data warehouse environment as well as the ability to work with large data sets from multiple data sources
Proficient in usage of the following Python libraries: Polars, NumPy, Pandas
Proficient with: XML, JSON, YAML
Experience with AI prompting to assist with development with tools like Copilot and, Claude
Proficient in the use of CI/CD pipelines and Git integration
Nice to have:
5+ years in a technical analytics/reporting role, with 3+ years of experience focusing on Python, SQL in a professional environment
Experience with callback architecture, including client-side callbacks, pattern-matching callbacks, and callback optimization techniques for complex multi-page applications
Experience with Redis for application caching, session management, and real-time data storage
Experience with PostgreSQL including complex query optimization, indexing strategies, and database performance tuning
Expertise Celery for distributed task queue management and background job processing, including task routing, retry logic, error handling, and monitoring
Expertise in XlsxWriter for generating complex Excel reports with multiple worksheets, charts, conditional formatting, and data validation
Experience with front end development, e.g., REACT, HTML, CSS
Experience with cloud computing providers (GCP, Azure, AWS)
Experience with specialized Python data management libraries, e.g., with DBT
Experience migrating on-premises capabilities and analytical workflows to the cloud, leveraging cloud-native technologies to improve efficiency and effectiveness, e.g., with Google Cloud Platform
Excellent English communication and presentation skills, ensuring clear and concise communication with our team members and fostering a smooth and effective collaboration process
A strong ability to encourage teamwork and actively support the team’s objectives is essential