Senior Data Engineer

Intus Care is a leader in innovative, data-driven healthcare solutions focused on enabling value-based care organizations. We are building a modern, cloud-native Electronic Medical Record (EMR) platform purpose-built for PACE organizations. Our platform is greenfield and designed around scalability, interoperability, analytics, and operational efficiency. The Platform Team at Intus builds the shared services, infrastructure, and developer enablement capabilities that power all product teams. We strongly believe in leveraging AI-assisted development tools to increase engineering velocity, quality, and consistency across the platform.

• Define and drive the technical vision, architecture, and best practices for new and existing products.

• Lead design discussions, code reviews, and ensure high standards for code quality, performance, and security.

• Collaborate with product managers, designers, and stakeholders to translate requirements into scalable technical solutions.

• Plan, prioritize, and delegate tasks to ensure timely and high-quality project delivery.

• Mentor and support engineers, fostering a culture of knowledge sharing, growth, and continuous improvement.

• Ensure solutions are robust, scalable, and compliant with healthcare industry standards (e.g., HIPAA).

• Identify and address technical risks, bottlenecks, and opportunities for process improvement.

• Stay current on emerging technologies and advocate for their adoption where appropriate.

• Communicate complex technical concepts clearly to both technical and non-technical audiences.

• Foster a collaborative, innovative, and inclusive team environment.

Bachelor's degree in computer science, Information Systems, or a related field.

5+ years of experience as a Data Engineer

Strong understanding of healthcare data structures and analytics focused on Value-Based Care metrics.

Solid understanding of data modeling, data warehousing, and analytics tools (e.g., Tableau, Power BI).

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

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

Strong analytical skills with the ability to solve complex problems and propose innovative solutions.

Excellent communication skills with the ability to work cross-functionally with technical and non-technical teams

Experience with Airflow, DBT, and Selenium

Snowflake certifications (e.g., SnowPro Core, Architect)

Experience with healthcare interoperability standards (HL7, FHIR).

Knowledge of machine learning and AI applications in healthcare analytics.

What We Offer:

A chance to be a part of a trailblazing team in healthcare technology

Competitive salary package

Comprehensive benefits, including health, dental, and vision insurance

A collaborative, inclusive, and dynamic work environment

Opportunities for professional growth and development

Take Ownership of Your Responsibilities and Outcomes

Think With Data First

Be Passionate About Impact

Take Strides Toward Growth and Innovation

Be Supportive Of Each Other

Compensation: The base salary range for this role is $130-160K. 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. Final compensation will also include a variable component and stock options.
Work location: This is a fully remote role based in the United States.
Sponsorship: This position is not eligible for sponsorship.