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Key Responsibilities
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 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.
Mentor and share knowledge with peers.
Monitor and maintain applications and production processes required to deliver on business commitments.
Use analytics and technology to solve business needs and demonstrate to customers the value of Aetna’s integration with CVS Health.
Required Qualifications
3+ years of experience with a Python Data Engineering Stack in a professional environment.
3+ years of experience with SQL query development, working in a data warehouse environment, and handling large data sets from multiple sources.
Proficient with Polars, NumPy, and Pandas.
Proficient with XML, JSON, and YAML.
Experience with AI prompting tools such as Copilot and Claude.
Proficient in using CI/CD pipelines and Git integration.
Preferred Qualifications
5+ years in a technical analytics/reporting role, with 3+ years focused on Python and SQL.
Experience with callback architecture (client‑side callbacks, pattern‑matching callbacks, and callback optimization 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 performance tuning.
Expertise with Celery for distributed task queue management and background job processing.
Expertise with XlsxWriter for generating complex Excel reports.
Experience with front‑end development (REACT, HTML, CSS).
Experience with cloud providers (GCP, Azure, AWS).
Experience with specialized Python data management libraries such as DBT.
Experience migrating on‑premises capabilities to the cloud, leveraging cloud‑native technologies.
Excellent English communication and presentation skills.
Strong teamwork and collaboration skills.
Education Bachelor’s degree preferred/specialized training/relevant professional qualification.
Pay Range The typical pay range for this role is:
$67,900.00 – $199,144.00
This range represents the base hourly rate or base annual full‑time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on experience, education, geography, and other factors. This position is eligible for a CVS Health bonus, commission or short‑term incentive program in addition to the base pay range listed above and includes an award target in the company’s equity award program.
Benefits In addition to the base pay, this full‑time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well‑being of colleagues and their families. Benefits include medical, dental, and vision coverage; paid time off; retirement savings options; wellness programs; and other resources, based on eligibility.
Additional details about available benefits are provided during the application process and on Benefits Moments ( https://learn.bswift.com/cvshealth-mainland ).
We anticipate the application window for this opening will close on: 04/26/2026.
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.
CVS Health is an equal‑opportunity/affirmative action employer, including Disability/Protected Veteran, committed to diversity in the workplace.
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Sprachkenntnisse
- English
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