Lead Python Developer, Data Analytics

CVS Health

Closes in 5 days Remote

Quick summary

Work type: Remote
Location: Remote
Salary: $67,900–$199,144 / yr
Posted: 9 days ago
Closes: Jun 22, 2026 (soon)

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $170k

This role $134k

$51k most similar roles pay here $228k

This role pays less than 73% of similar roles. Most pay $128,650–$211,200 — the shaded band above. At the midpoint, this role pays about $134k versus about $170k for comparable roles.

Based on 240 similar postings.

Employer

About CVS Health

CVS Health is a leading American healthcare company operating retail pharmacies, pharmacy benefit management services, and a health insurance segment through Aetna, one of the nation''s largest health insurers. Industry: Healthcare & Pharmacy

CVS Health currently has 138 open roles on FindRole.

Listed pay typically runs $118,450–$284,280 across 135 roles with salary data.

Most-posted roles

View all roles at CVS Health

At a glance

TL;DR · Lead Python Developer, Data Analytics

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Aetna’s Reporting Solutions team seeks a Lead Python Developer with at least three years of professional experience in software engineering to join their Sales Enablement department. This role involves designing and developing new Python code for advanced analytics capabilities, creating self-service business applications using Plotly Dash Enterprise, and refactoring legacy systems to enhance performance. The ideal candidate will have expertise in Python libraries such as Polars, NumPy, and Pandas, along with proficiency in SQL query development and cloud-native technologies like CI/CD pipelines and Git integration. They should also be adept at mentoring peers and communicating effectively with stakeholders. This position focuses on optimizing healthcare analytics and reporting for internal and external constituents, supporting strategic business objectives within Aetna’s Commercial division.

Skills

Python Pandas NumPy Polars SQL Git CI/CD Plotly Dash Enterprise PostgreSQL Redis Celery XlsxWriter AWS GCP Azure DBT

What you'll do

Develop new Python code for analytics and reporting using healthcare data.
Create self-service business applications using Plotly Dash Enterprise for clinical or analytic solutions.
Refactor legacy code to improve performance and integrate modern technologies.
Define and deliver technical capabilities supporting short- and long-term business objectives.
Expand, scale, and automate analyses available to the broader team and Aetna field.
Monitor and maintain production processes required to meet business commitments.

What we're looking for

3+ years of experience with Python Data Engineering Stack in a professional environment.
Proficient in SQL query development and working in data warehouse environments.
Expertise in Python libraries including Polars, NumPy, Pandas, XML, JSON, YAML.
Experience with AI prompting tools like Copilot and Claude to assist development.
Proficient in CI/CD pipelines and Git integration for version control.