Dash Job - Lead Python Developer, Data Analytics - CVS Health

:mega: Plotly Dash Skills: Create business applications to deliver clinical or analytic solutions to constituents in a self-service fashion using Plotly Dash Enterprise.

Company: CVS

Title: Lead Python Developer, Data Analytics

Category: Full-time

Location: Hartford, CT, USA

Experience: Mid-level

Application: Link to apply

@OpenToWork


Full Job Description

Bring your heart to CVS Health. Every one of us at CVS Health shares a single, clear purpose: Bringing our heart to every moment of your health. This purpose guides our commitment to deliver enhanced human-centric health care for a rapidly changing world. Anchored in our brand — with heart at its center — our purpose sends a personal message that how we deliver our services is just as important as what we deliver.

Our Heart At Work Behaviors™ support this purpose. We want everyone who works at CVS Health to feel empowered by the role they play in transforming our culture and accelerating our ability to innovate and deliver solutions to make health care more personal, convenient and affordable.

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 Tech Enablement team.

This 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. The work environment supports and thrives on out-of-the box thinking, creative talent and a consultative approach.

Specifically, this role will be responsible for developing and delivering new capabilities to support health care analytics and reporting, benefits evaluations, and operational decision making by Aetna internal and external constituents. This work requires technical, analytic, and consultative skills.

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 analytical findings to 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.
  • 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 focusing in Python,
  • 1+ years of experience in using of the following Python libraries : Polars, NumPy, Pandas.
  • 1+ years of experience with : XML, JSON, YAML.
  • 1+ years of experience using of the Git version control systems.

Preferred Qualifications

  • 5+ years in a technical analytics/reporting role, with 3+ years of experience focusing in Python, SQL in a professional environment.
  • 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 knowledge of and experience with the following Python libraries : Plotly, Dash.
  • Experience with front end development, e.g., REACT, HTML,CSS.
  • Experience with cloud computing providers (GCP, Azure)
  • Experience with specialized Python data management libraries, e.g., with 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.
  • Strong capacity and proactiveness for fostering collaboration and demonstrating commitment to the team’s goals is required.

Education

  • Bachelor’s degree or equivalent professional work experience.

Pay Range

The typical pay range for this role is:

$67,900.00 - $174,200.00