Software Engineer II - Data

About IntusCare

IntusCare is a healthcare analytics platform that synthesizes healthcare data to identify risks, visualize trends, and optimize care for PACE programs. IntusCare empowers care providers to mitigate high risk events and equips executives with the tools to make informed decisions based on comprehensive clinical and operational data. Our mission is to catalyze data-driven change to achieve high-value, multi-disciplinary care for older adults. In addition, IntusCare offers a broad range of technical assistance and consulting services to support PACE programs under development and existing programs that are growing and evolving to meet the needs of their communities.

Role Overview:

As a Software Engineer II-Data, you’ll make meaningful contributions to the data team that powers IntusCare’s healthcare analytics solutions. You’ll build and maintain data pipelines, improve data quality, and ensure scalability as we continue to expand.

Responsibilities:

In this role, you will

• Help design, build, and maintain reliable, scalable data pipelines that support analytics used by clinicians and executives.

• Collaborate with tech leads, architects, and fellow engineers to translate requirements into technical solutions.

• Ensure accuracy and consistency of clinical and operational data through testing, validation, and monitoring.

• Contribute to data modeling and warehousing to support both operational and advanced analytics.

• Participate in Agile ceremonies, including stand-ups and retrospectives.

• Foster a collaborative, innovative, and inclusive environment with an emphasis on knowledge sharing and continuous improvement.

Qualifications:

• Bachelor’s degree in Computer Science, Information Systems, or a related field.

• 2+ years of professional experience as a Data Engineer (or equivalent role).

• Proficiency in SQL and at least one programming language (e.g., Python, Java).

• Familiarity with data modeling, warehousing concepts, and analytics tools (e.g., Tableau, Sigma, Power BI).

• Experience with modern data stack tools such as Airflow, DBT, and Snowflake (or strong willingness to learn them quickly).

• Strong analytical and problem-solving skills with a focus on delivering scalable, maintainable solutions.

• Excellent communication skills and ability to work cross-functionally with technical and non-technical stakeholders.

Preferred Skills:

• Exposure to machine learning and AI applications in healthcare analytics.

• Familiarity with cloud platforms (AWS, Azure, or GCP)

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; fully remote

Compensation: The salary range for this role is $120K–$135K. 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.