Senior Data Engineer

IntusCare

2d•$130,000 - $160,000•Remote

About The Position

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. In This Role You Will: • 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.

Requirements

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

Nice To Haves

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.

Responsibilities

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.