Entry Level Data Scientist Jobs in Kitchener Waterloo, ON

At GoldCare, we're on a mission to make healthcare smoother and smarter.
Delivering cutting-edge information management software that empowers clinics and providers to focus less on paperwork and more on people. For decades, our solutions have been the go-to for healthcare professionals who value precision, efficiency, and simplicity.

As a proud division of Constellation Software (csisoftware.com), we're backed by the innovation, stability, and expansive reach of a market-leading global software provider.

Join a team that is passionate about transforming healthcare behind the scenes, where your work counts, your voice is heard and you are ready to make meaningful impact. If you are looking for a sprinkle of fun into your career, GoldCare is the place to start; and thrive.

Learn more about GoldCare at:

This role is ideal for new graduates or early-career professionals who want hands-on experience with real production systems and a clear path for growth. You will learn both legacy and modern technologies with mentorship from experienced team members.

Our organization follows a hybrid work structure with one in-office day per week at the Waterloo office, and the remainder of the week can be remote or from the office based on task requirements or personal work preferences.

• Participate in initiatives to modernize legacy database structures, tooling, and operational practices.
• Assist with improving data models, documentation, and standards to support long-term maintainability.
• Learn and apply modern database and platform concepts while respecting the realities of long-lived systems.

• Support and maintain GoldCare's MultiValue database environment used in production by customers.
• Monitor database health, performance, and availability; identify trends and potential risks.
• Troubleshoot database and data-related issues in collaboration with development and support teams.
• Support release activities by validating database changes, scripts, and data impacts.

• Leverage AI-assisted tools to analyze database structures, queries, and data usage patterns.
• Use AI to help identify optimization opportunities, performance improvements, and data quality issues.
• Collaborate with senior team members to evaluate responsible, secure use of AI within database and platform workflows.
• Continuously learn how AI can enhance productivity while maintaining strong governance and data protection practices.

• Diploma or degree in Computer Science, Information Technology, Software Engineering, or a related field.
• Relevant coursework such as Databases, Data Structures, Operating Systems, Systems Analysis, or Cloud Computing is highly valued.
• Internship, co-op, or capstone project experience involving databases or backend systems is an asset but not required.

• 0-2 years of professional experience supporting databases, applications, or systems (including internships or co-op roles).
• Hands-on experience gained through school projects, labs, or personal learning using any database technology (SQL or non-SQL).
• Familiar with or highly motivated to learn to apply AI-based tools within the SDLC.
• Demonstrated ability to learn new technologies, including legacy platforms, with guidance and mentorship.
• Exposure to troubleshooting, scripting, or supporting production-like systems is beneficial.

In people, technology, and customers. What goes around comes around and when possible, we try to pay it forward.

Learning is the key to success. We encourage employees to share their expertise and best practices with their peers. That way, we all grow together.

Our staff operate independently in a decentralized structure. Whenever possible, we provide the independence required to drive growth and success.

We believe in full transparency and ongoing communication; if there is a problem, we try to work collaboratively on solutions.