ExaCare AI
ExaCare AI
ExaCare AI dezvoltă software SaaS pentru furnizorii de servicii de îngrijire postacută, inclusiv unități de asistență medicală specializată și agenții de îngrijire medicală la domiciliu. Platforma sa sprijină analiza trimiterilor, verificarea asigurării, fluxurile de lucru pentru rambursare și internarea pacienților prin rezumarea dosarelor clinice, identificarea riscurilor clinice și financiare, precum oportunitățile PDPM, verificarea eligibilității pentru acoperire și oferirea unei imagini asupra gradului de ocupare, tendințelor numărului de pacienți și performanței operaționale.

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.

Descriere

  • 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

Cerințe

  • 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

Beneficii

  • Remote work option in Toronto and Vancouver
  • Hybrid work option in New York

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