ExaCare
Staff Data Engineer
Remote Toronto & Vancouver, Hybrid in New York · Remote · Staff · Full-time · Posted Oct 9, 2026
- Experience
- 7+ years of engineering experience focused on data engineering, data platforms, or backend systems involving substantial data processing.
About the job
Build and operate data pipelines, models, and infrastructure that support ExaCare’s product, analytics, and AI workflows using healthcare data.
What you'll do
- Own data initiatives from design and implementation through validation, production rollout, and ongoing operation.
- Build and maintain scalable data pipelines and reusable models, with quality monitoring, recovery, and performance improvements.
- Partner across product, operations, platform, and ML teams; contribute to technical design, reviews, documentation, and mentorship.
What they ask for
- 7+ years of engineering experience focused on data engineering, data platforms, or backend systems involving substantial data processing.
- Strong proficiency with SQL and TypeScript, including production pipelines and complex datasets.
- Experience designing ETL/ELT pipelines, data models, and orchestration workflows.
- Strong fundamentals in relational databases, data warehouses, and cloud infrastructure.
Nice to have
- Experience with healthcare data, EHR integrations, or interoperability standards such as FHIR.
- Experience supporting ML pipelines, AI products, or model-training and evaluation datasets; familiarity with Databricks, dbt, Airflow, Dagster, Spark, or comparable tools.
Tools
SQL, TypeScript, Databricks, dbt, Airflow, Dagster, Spark, FHIR
AI focus
Build data foundations for AI workflows and support ML pipelines, AI products, and datasets used for model training and evaluation.
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