Sr. Data engineer with strong Python Streamlit exp - 100% Remote (or )

Position: Sr. Data engineer with strong Python Streamlit exp

Location: Remote but candidate must be located and can work only from below states

Approved states:

Alabama

Alaska

Arizona

Arkansas

Florida

Georgia

Idaho

Indiana

Iowa

Kansas

Kentucky

Louisiana

Maine

Michigan

Minnesota

Mississippi

Missouri

Nebraska

New Mexico

North Carolina

North Dakota

Ohio

Oklahoma

Pennsylvania

South Carolina

South Dakota

Tennessee

Texas

Utah

Virginia

West Virginia

Wisconsin

Wyoming

• Context: Supports Client Simplica NextGen Copay, a new variable copay group plan that offers members copay only pricing with no deductibles or coinsurance, providing a clear, flat price for every service. The plan emphasizes predictability and value by tying copay levels to provider quality; copays are lower at locations offering higher quality care. It leverages the proprietary Find Care digital platform to guide members toward high quality options and improve health outcomes, and it simplifies administration by ensuring members see the exact price up front, reducing claims confusion.

• Role Focus: The engineer will build Streamlit applications within Databricks to support this digital first plan, including features that pull data from the data lake, transform it and egress it to PostgreSQL and APIs. The apps will likely support the Find Care experience and deliver clear copay information and provider ratings. PostgreSQL is huge for understanding performance and tuning DB as needed. New health plan that is being offered with more visibility. Bonus: someone who can communicate, more polished to present at executive levels at times.

• Requirements: Strong Python and Streamlit development skills; experience creating user facing apps in Databricks; ability to egress data from data lake to PostgreSQL and API endpoints; familiarity with AI enabled search or recommendation tools is a plus. Since the plan is marketed to employer groups and has executive visibility, the candidate must be polished and well spoken, comfortable presenting to leadership (including CIO/CDO Maggie Helms) and working closely with business stakeholders. Understanding of variable copay health plan design and value based provider networks would be beneficial, but not a requirement.

Best Regards,

Chetna

Truth Lies in Heart