About this role
About IntusCare
IntusCare is the only end-to-end ecosystem built specifically to help Programs of All-Inclusive Care for the Elderly (PACE) programs deliver exceptional care, strengthen financial performance, and stay compliant. IntusCare replaces outdated technology and manual workarounds with purpose-built solutions for care coordination, risk adjustment, population health, and utilization management. IntusCare empowers teams to take control of their operations and improve outcomes for dual-eligible seniors – some of the most socially vulnerable and clinically complex individuals in the US healthcare system
Role Overview / Responsibilities
You will serve as a Data Engineer, Support for Data Engineering, reporting to Evan Walters. In This Role You Will:
Provide end-to-end ownership of a legacy population health analytics product, with a primary focus on backend data pipelines and full responsibility for the associated full-stack application
Own, operate, and maintain a production analytics product, including data ingestion, transformation, orchestration, and the user-facing application
Build, maintain, and debug backend data pipelines using Airflow, Python (Pandas, Selenium), Snowflake, dbt, and Airbyte, with a strong emphasis on data quality, reliability, and performance
Take full-stack responsibility for the analytics application, including backend services (Node.js) and frontend components (React)
Handle all bug fixes, operational issues, and production incidents for the product, developing deep understanding of system behavior and failure modes
Investigate data quality issues, pipeline failures, and application-level defects, and implement durable, well-reasoned fixes
Make pragmatic improvements to legacy codebases across the stack, balancing delivery speed, correctness, and maintainability
Communicate clearly about system health, root causes, and technical tradeoffs with teammates and stakeholders
About You / Requirements
Bachelor’s degree in Computer Science, Information Systems, or related field, or equivalent practical experience
1–4 years of professional experience as a Software Engineer or Data Engineer
Proficiency in Python and experience working with production data pipelines or ETL/ELT workflows
Working knowledge of SQL and experience with relational or analytical databases
Exposure to backend or full-stack development, including JavaScript and backend frameworks such as Node.js
Familiarity with frontend technologies such as React, or willingness to learn and support existing frontend codebases
Basic familiarity with modern data platforms and tools (e.g., Airflow, dbt, Snowflake, Airbyte)
Ability to debug unfamiliar and legacy systems and reason through complex technical issues
Strong sense of ownership and accountability for production systems
Clear written and verbal communication skills
Preferred/Nice-to-Have
Experience supporting or maintaining legacy systems in production
Exposure to healthcare data, analytics platforms, or regulated environments
Experience working in a small team or fast-moving environment
Benefits
Competitive salary and benefits package, including uncapped PTO and health insurance
Opportunity to work with a passionate and innovative team
Professional development and growth opportunities
Flexible work environment
Compensation: The salary range for this role is $95–120K. We expect the ideal candidate to fall near the midpoint of this range, though final compensation will be determined based on experience, skills, and organizational needs.
Work location: This is a fully remote role based in the United States.
Sponsorship: This position is not eligible for sponsorship.