Senior Data Engineer

Fullscript • Toronto, ON

9d • Remote

About The Position

Fullscript powers care for 125,000+ healthcare practitioners and 10M+ patients by making clinical insights, treatment workflows, and longitudinal data accessible and actionable across the platform. As the Senior Data Engineer, you’ll be part of a small team that turns messy practitioner and clinical data into reliable, analysis-ready assets that enable causal outcome modeling, lab normalization, and strategic patient and prescribing insights. This role requires healthcare-specific data experience and a practical comfort with semi-structured sources that are common in clinical environments, not just general-purpose data engineering.

Requirements

• 5+ years in Data Engineering, preferably in healthcare, health tech, or regulated domains
• Deep SQL skills and Python experience applied to data extraction, transformation, and validation
• Experience with dbt or similar transformation tooling and workflow orchestration (Airflow, Argo, etc.)
• Proven ability to handle semi-structured and unstructured data common in clinical workflows
• Hands-on experience with cloud data platforms (Snowflake, BigQuery, Redshift) and scalable pipeline architectures
• Strong data modeling skills, especially for longitudinal patient, event, and lab data structures
• Clear communicator comfortable explaining technical decisions to both technical and non-technical stakeholders

Nice To Haves

• Familiarity with healthcare standards like FHIR, HL7, or clinical interoperability frameworks
• Practical experience with OCR/NLP libraries for document parsing in a data pipeline
• Exposure to predictive analytics or ML model feature engineering in clinical contexts
• Exposure to building data assets that support causal inference or observational research
• Previous mentorship or leadership experience within data engineering teams

Responsibilities

• Ingest and normalize heterogeneous healthcare data sources including clinical records, lab results, intake forms, and semi-structured artifacts
• Build robust, reproducible ELT pipelines in a cloud data stack to generate clean, longitudinal patient-level datasets
• Apply OCR and NLP techniques to extract structured signals from unstructured clinical documents
• Implement data quality frameworks, testing, version control, and CI/CD for all ingestion and transformation workflows
• Collaborate with data science and product partners to ensure data models support causal inference and predictive analysis needs
• Optimize pipeline performance and scalability in cloud data warehouses such as Snowflake or comparable technologies
• Produce clear documentation and operational runbooks that enable internal consumers to trust and act on healthcare datasets

Benefits

• Flexible PTO and competitive pay
• RRSP/401k match
• Stock options
• Premium benefits package with customizable coverage, paramedical services, and an HSA.
• Fullscript discounts
• Continuous learning opportunities
• Remote-first flexibility

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed