Data Engineer

Who We Are:

Leap Orbit is a forward-thinking healthcare technology company dedicated to transforming how data powers care delivery across North America. We design and build innovative, scalable platforms that help health plans, government agencies, regulators, and health information exchanges solve complex data challenges with confidence and precision.

Our solutions bring clarity to fragmented systems—improving interoperability, strengthening regulatory compliance, and enabling smarter, data-driven decision-making. From advanced provider data management to prescription monitoring and analytics-driven insights, Leap Orbit delivers modular, high-performance technologies that evolve with the needs of the healthcare ecosystem.

Rooted in deep industry expertise and a passion for practical innovation, we partner closely with our clients to create sustainable, long-term impact.

At Leap Orbit, we don't just build technology—we build the foundation for better, safer, and more connected healthcare.

About the Role:

The ideal candidate is a self-motivated junior to mid-level Data Engineer with experience in health data, reporting and analytics, and Azure cloud technologies. This role will work collaboratively within a small, distributed team to address complex challenges in the healthcare sector. The candidate will be actively involved in the development, maintenance, and quality assurance of backend data pipelines as well as client-facing analytics solutions.

What You'll be Doing:

• Design, construct, test, and maintain highly scalable data management and analytic systems.
• Ensure systems meet business requirements and industry practices.
• Build high-performance algorithms, prototypes, predictive models, and proof of concepts
• Develop data set processes for data modeling, mining, and production.
• Integrate new data management technologies and software engineering tools into existing structures.
• Create custom software components and analytics applications.
• Employ a variety of languages and tools to marry systems together.
• Recommend ways to improve data reliability, efficiency, and quality.
• Collaborate with data and enterprise architects, software engineers, and IT team members on project goals.

Requirements:

• Business Intelligence certificate, Bachelor's degree in computer science or a related field, or equivalent education and/or work experience
• 1-2 of relevant experience in data engineering
• Proficiency with Power BI development
• Proficiency in SQL and Python
• Experience with Azure cloud services
• Experience with data pipeline and workflow management tools
• Experience with data analysis
• Experience with Microsoft Fabric and Data Lakes
• Experience with Git
• Ability to work productively from home
• Background check required

Preferred Qualifications:

• Experience with CI/CD pipelines in Microsoft Fabric
• Knowledge of healthcare and life sciences industry challenges
• Experience with health data, reporting and analytics

Physical Demands:

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of the Data Engineer position.

While performing the duties of this position, the employee is regularly required to:

• Sit for extended periods while working at a computer or workstation.
• Use hands and fingers to operate a computer keyboard, mouse, and other office equipment.
• Communicate clearly and effectively, both verbally and in writing.
• Occasionally stand, walk, reach, bend, or lift office materials weighing up to 20 pounds.

This position primarily operates in a remote work environment that requires regular use of standard office equipment, including computers, phones, and virtual communication tools. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of the job.

Applicants must be legally authorized to work in Canada. Any offer of employment is conditional upon the company's receipt of satisfactory background check results and verification of employment eligibility.