Senior Research Data Engineer (Canada)

At Cobalt Streamworks our mission is simple: to help providers deliver exceptional care. And that starts with our people. As a leading health tech company that’s founder-led and privately held, we empower our employees to push boundaries, innovate, and shape the future of healthcare. With the largest long-term and post-acute care dataset and a Marketplace of 400+ integrated partners, our platform serves over 30,000 provider organizations, making a real difference in millions of lives. We also reinvest a significant percentage of our revenue back into research and development, ensuring our employees have the resources to innovate and make a lasting impact. Recognized by Forbes as a top private cloud company and honored as one of Canada’s Most Admired Corporate Cultures, we offer flexibility, growth opportunities, and meaningful work. At Cobalt Streamworks , we empower our people to be the architects of a smarter healthcare future; one that is human-first and accelerated by AI to create meaningful and lasting change. Employees harness AI as a catalyst for creativity, productivity, and thoughtful decision-making. By integrating AI tools into our daily workflows, collaboration is enhanced, outcomes are improved, and every team member has the proficiency to maximize their impact. It all starts with our hiring practices where we uncover AI expertise that complements our mission, and we continue to invest in training and development to nurture innovation throughout the employee journey. Join us in redefining healthcare — so it doesn’t just survive, it thrives. To learn more about Cobalt Streamworks , check out Life at Cobalt Streamworks and connect with us on Cobalt Streamworks -EI_IE452666.11%2C25.htm&data=05%7C02%7CSandeep.Dhillon%40pointclickcare.com%7Ce9353db140a24fd980f808ddb00013f1%7Cafd0249eca3d42058bf4ac2b6abd0fec%7C0%7C0%7C638860236586978442%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=KVgSiL%2ByFmnpxTc5PmuErMwRNwDmTGqUzJIUSIm5fY0%3D&reserved=0" rel="nofollow ugc noopener noreferrer" target="_blank">Glassdoor and LinkedIn . Travel to Office expectations For Remote Roles : If this role is remote, there will be in-office events that will require travel to and from the Mississauga and/or Salt Lake City office. These will include, but not limited to, onboarding, team events, semi-annual and annual team meetings. For Hybrid Roles : If this role is Hybrid, there will be an expectation to reside within commutable distance to the office/location specified in the job listing. This will include, but not limited to, weekly/bi-weekly/monthly events in the office with your specific team. This is a requirement for this role. About the Role Cobalt Streamworks ’s Advanced Technology / AI Applied Research team designs, builds, tunes, evaluates, and delivers AI model systems on clinical and operational data to help providers deliver excellent care. The Senior Applied Research Engineer ensures we have data in the right shape to develop and deliver that AI safely, effectively, and significantly more efficiently than today. You will build and own the gold data layer that sits between our silver Lakehouse data and the AI work that depends on it--building it, validating it, documenting it, and extending it as products evolve and new AI needs come into scope. What you build will be a highly leveraged asset, relied on by multiple AI model system creators across the full R&D lifecycle: EDA, experiments, model development, evaluation, and operational sustaining--supporting AI work ranging from classical ML to the latest generative and agentic approaches. This role blends data engineering with applied AI data science. You will sit with AI researchers to understand what they need, and work with data platform, product, clinical, and workflow experts to understand the data, where it comes from, it’s transformation from raw to silver, and what it means. This is the first hire in a function expected to grow over time, embedded directly in PCC’s team of AI model development experts. What You’ll Do Own the gold data layer. Transform messy, silver tables into curated, semantically rich, clean and documented gold datasets suitable for AI model development, including datasets and features reusable for AI development across projects. Maintain the data as products and needs evolve. To do this you will Reverse-engineer data semantics. Talk with product engineers, clinical and workflow experts to learn how the products are used and how data are created in the field. Understand SQL queries, stored procedures, technical data definitions, and other code to know how products represent and transform data. Learn how data are ingested into the data lake, what silver tables and columns actually represent and how they behave. Capture provenance, semantics, clinical event sequencing, cross module record linkage and known quirks. Bridge semantics with AI needs. Understand researcher data