Lead Python Developer, Data Analytics
Job Description:
- 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
- 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
- Must be fluent in English communication skills with excellent presentation skills.
Benefits:
- medical, dental, and vision coverage
- paid time off
- retirement savings options
- wellness programs
- CVS Health bonus, commission or short-term incentive program
- equity award program
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