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.

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.

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonSQLData EngineeringPolarsNumPyPandasXMLJSONYAMLCI/CD

Soft Skills

communicationstakeholder engagementproblem-solvinganalytical thinking