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Lead Python Developer, Data Analytics
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Lead Python Developer, Data Analytics
- Albany, New York, United States
- Albany, New York, United States
Über
Position Summary Aetna’s Reporting Solutions team is looking for an initiative‑taking Lead Python Developer with 3+ years of experience in software engineering with Python in a professional environment to join our Reporting Solutions team. The Lead Python Developer role is a part of the Aetna Commercial’s Sales Enablement department that partners with business leaders and key stakeholders to optimize the achievement of strategic business objectives. In this exciting new role, the candidate will be accountable for designing, developing new Python code for new analytics capabilities and content. This work requires technical, analytic, and consultative skills. The position may be remote or hybrid anywhere in the US depending on candidate location and commute to a hub location.
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 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
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 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
Preferred Qualifications
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 in 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., 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
Education Bachelor's degree preferred, specialized training, or relevant professional qualification
Pay Range The typical pay range for this role is:
$67,900.00 - $199,144.00
This pay 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 a variety of factors including experience, education, geography and other relevant 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. This position also includes an award target in the company’s equity award program.
Great Benefits for Great People We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.
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. The benefits for this position 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).
Equal Opportunity 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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