Lead Python Developer, Data Analytics

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🕒 Yesterday

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Logo of CVS Health

CVS Health

10,000+ employees

Founded 1963

⚕️ Healthcare Insurance

🛒 Retail

🧘 Wellness

Healthcare Insurance • Retail • Wellness

CVS Health is a leading American healthcare company dedicated to improving health access and affordability. The company focuses on a comprehensive approach that includes health services, health insurance, and pharmacy benefits management. Through its subsidiaries, such as Aetna and CVS Caremark, CVS Health offers a range of services that facilitate wellness, condition management, and affordable prescription drug coverage. CVS Health operates neighborhood pharmacies, provides mail-order pharmacy services, and manages specialty medication programs, aiming to make healthcare convenient and accessible for everyone. Driven by a mission to connect people with essential care services, CVS Health is committed to fostering healthier communities and supporting the wellbeing of all individuals.

📋 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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