Data Engineer, Support

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 IntusCare replaces outdated technology and manual workarounds with purpose-built solutions for care coordination, risk adjustment, population health, and utilization management.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.