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Data Engineer, Support at IntusCare. Remote Location: Remote-USA. 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 IntusCare replaces outdated technology and manual workarounds with purpose-built solutions for care coordination, risk adjustment, population health, and utilization management.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.