Contract Trainer in Controlling and Business Intelligence
WBSPart-time freelance trainer with WBS TRAINING, delivering Controlling and Business Intelligence courses. Support learners with Power BI, AI tools and flipped-classroom teaching.
Open
ExaCare AI develops SaaS software for post-acute care providers, including skilled nursing facilities and home health agencies. Its platform supports referral review, insurance verification, reimbursement workflows, and admissions by summarizing clinical records, identifying clinical and financial risks such as PDPM opportunities, checking coverage eligibility, and providing visibility into occupancy, census trends, and operational performance.
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.
Description
- 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
Requirements
- 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
Benefits
- Remote work option in Toronto and Vancouver
- Hybrid work option in New York
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