Senior Applied Research Data Engineer (US)

At PointClickCare 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 PointClickCare, 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 PointClickCare, check out Life at PointClickCare and connect with us on Glassdoor and LinkedIn.

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.

At PointClickCare, we are building the data foundation that powers the next generation of AI and machine learning products in healthcare. We are seeking a Senior Applied Research Data Engineer who thrives at the intersection of data engineering, applied research, and domain discovery.

This is not a traditional data engineering role focused solely on pipelines and infrastructure. You will work closely with AI researchers, data scientists, clinicians, and product experts to transform complex healthcare data into trusted, reusable, AI-ready research assets. Success in this role requires curiosity, investigative thinking, and the ability to uncover meaning in complex, poorly documented systems.

You will be responsible for learning new domains quickly by reading source code, reverse-engineering SQL and business logic, interviewing subject matter experts, and building durable semantic data products that support experimentation, model development, evaluation, and production AI systems.

The ideal candidate enjoys solving data mysteries, creating order from ambiguity, and building datasets that researchers trust. You understand that the quality, semantics, lineage, and documentation of a dataset are often more important than the model itself.

• 5+ years building production data systems, with at least 2 supporting ML or AI workloads. 

• Track record of learning complex new data domains quickly, through reading source code, interviewing experts, and building durable artifacts others rely on. 

• Advanced Python, SQL, and PySpark/Databricks for working with large, messy data. Expert SQL specifically: comfortable reading complex stored procedures and reverse-engineering business logic from queries. 

• Databricks ecosystem depth: Delta Lake, Unity Catalog, Spark/PySpark tuning, MLflow. 

• AI domain literacy: working understanding of embeddings, tokenization, feature engineering, point-in-time correctness, train/validation/test splits, data drift, and the differences between what classical ML and generative models need from data. 

• Data wrangling across modalities: transforming unstructured content (text, PDFs, transcripts, logs) and structured tabular data into clean, model-ready forms. 

• Hands-on EHR data experience, ideally in skilled nursing, long-term care, post-acute care, or senior living. 

• Working knowledge of clinical terminologies (ICD-10, SNOMED CT, LOINC) and data standards (HL7v2, FHIR, CCDA). 

•  dbt for transformation and testing. 

• Familiarity with training-side ML frameworks (e.g. PyTorch) sufficient to debug data-side bottlenecks; experience supporting LLM or foundation-model training or fine-tuning data pipelines. 

• Clinical NLP, OCR, document parsing, or ASR / transcript pipeline experience. 

• Data lineage and catalog tools.  

• Prior experience embedded inside an AI or ML research team. 

• Master’s degree in a relevant quantitative or computer science field. 

It is the policy of PointClickCare to ensure equal employment opportunity without discrimination or harassment on the basis of race, religion, national origin, status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law. PointClickCare welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process. Please contact recruitment@pointclickcare.com should you require any accommodations. As part of our commitment to a streamlined and equitable hiring experience, PointClickCare uses AI tools to assist with candidate screening and assessment.

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