Python Data Engineer - REMOTE

Phoenix, AZ
Job Type
Junior, Senior level

Job Description


HSAG is nationally recognized as an industry leader in the areas of healthcare data analysis, program evaluation, measure development, and survey research. We are in search of talented individual who is interested in a career as a Python Data Engineer in HSAG’s Data Science & Advanced Analytics division. Together we can spread positive change to make healthcare better.  


The Python Data Engineer position benefits from HSAG’s passion to leverage data-driven insights to drive meaningful improvement in the healthcare industry. The Python Data Engineer is responsible for leading the analysis of healthcare data using Python. The Python Data Engineer will also lead HSAG’s efforts to convert SAS code to Python that will be utilized within a Data Bricks environment.


The Python Data Engineer position is a key leader responsible for leading the HSAG’s Python-related analytic projects. The Python Data Engineer position will design and implement HSAG’s SAS to Python conversion activities. Additionally, the Python Data Engineer will be responsible for leveraging expertise in Python to extract, transform, and load (ETL) healthcare data from various sources and to use Python to analyze these data. The Python Data Engineer will work with a wide array of data to facilitate data exploration and fulfill client deliverables, including (but not limited to) the following data types:

  • survey
  • case review
  • medical and prescription drug claims and encounters
  • eligibility
  • demographic
  • clinical
  • electronic health record
  • registry
  • vital statistics
  • operational

Details regarding potential project assignments and key sources of data will be discussed with potential candidates during the interview process.


  • Serve as the Python programming expert for the HSAG Data Science & Advanced Analytics division.
  • Design, develop, and maintain Python scripts and applications for data manipulation, analysis, and visualization.
  • Utilize Python libraries and frameworks such as Pandas, NumPy, SciPy, and Matplotlib to perform advanced data analysis.
  • Convert SAS code to Python for seamless integration into a Data Bricks environment.
  • Design, develop, and maintain data pipelines for efficient data processing and analysis.
  • Optimize data workflows to enhance performance and scalability.
  • Conduct code reviews and provide technical guidance to junior team members.
  • Stay current with industry trends and best practices in healthcare analytics and data engineering.
  • Present and communicate project results to nonanalytic staff members and customers. 
  • Represent HSAG in a professional manner at all times.
Compensation: 100,000 - 124,000 DOE

About the Company:

Ref #
27 days ago
Last updated 27 days ago

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