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Staff Data Engineer, Remote in Canada | ExaCare AI
Lead data engineering for ExaCare AI’s post-acute care platform, building pipelines, models, and infrastructure. Create reliable foundations for product, analytics, and machine learning workflows using healthcare data.
विवरण
- Lead data initiatives from technical design and implementation through validation, launch, and ongoing operations
- Build and maintain scalable ingestion and transformation pipelines for application databases, APIs, third-party integrations, and healthcare data
- Align data architecture, models, and integrations with customer, operator, and internal workflows
- Develop reusable data models and shared definitions for product features, reporting, analytics, and machine learning
- Add validation, monitoring, alerting, and recovery capabilities to data pipelines
- Increase processing efficiency and query performance while managing infrastructure costs as data and product complexity grow
- Work with product, operations, platform, ML, and engineering teams to turn business needs into data solutions
- Contribute to technical design, code reviews, documentation, mentoring, and sustainable data engineering practices
आवश्यकताएँ
- At least 7 years of engineering experience in data engineering, data platforms, or backend systems with substantial data processing
- Strong SQL and TypeScript skills
- Experience designing ETL/ELT pipelines, data models, and orchestration workflows
- Understanding of dependencies, retries, backfills, and schema evolution
- Strong knowledge of relational databases, data warehouses, and cloud infrastructure
- Experience optimizing queries and building scalable storage and processing systems
- Ability to own production data systems from design through launch and ongoing support
- Sound judgment about products and workflows
- Practical experience with data quality, observability, access controls, and sensitive information
- Ability to independently scope, plan, and deliver complex, open-ended work
- Clear communication with technical and nontechnical partners
- Healthcare data, EHR integration, or interoperability experience, including standards such as FHIR, is a plus
- Experience supporting ML pipelines, AI products, or datasets for model training and evaluation is a plus
- Familiarity with Databricks, dbt, Airflow, Dagster, Spark, or similar frameworks is a plus
- Experience building data infrastructure at a fast-growing startup is a plus
लाभ
- Remote work option in Toronto and Vancouver
- Hybrid work option in New York
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