Staff Data Engineer

Job not on LinkedIn

🔥 12 hours ago

🌐 Canada, United States – Remote

🇨🇦 Canada – Remote 🇺🇸 United States – Remote

⏰ Full Time

🔴 Lead

🚰 Data Engineer

👻 Ghost score 14%

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ExaCare AI

WebsiteLinkedInAll Job Openings

51 - 200 employees

🏥 Healthcare

💼 Consulting

📦 Logistics

🔥 Funding within the last year

💰 $30M Series A - ExaCare on 2025-10

Healthcare • Consulting • Logistics

ExaCare AI is an AI-powered SaaS platform purpose-built for post-acute care providers (skilled nursing facilities and home health agencies) that automates referral review, insurance verification, and reimbursement workflows to speed admissions, protect revenue, and improve patient fit. The system condenses clinical records into concise overviews, flags clinical and financial risks (including PDPM opportunities), checks coverage and eligibility, and provides portfolio-level visibility into occupancy, census trends, and operational metrics to help admissions teams respond faster and make more confident decisions.

📋 Description

• Own data initiatives end-to-end, from technical design through implementation, validation, production rollout, and ongoing operation • Design and maintain scalable ingestion and transformation pipelines across application databases, APIs, third-party integrations, and healthcare data sources • Connect data architecture, models, and integrations to customer, operator, and internal team workflows • Create reusable data models and shared definitions supporting product features, reporting, analytics, and machine learning • Build validation, monitoring, alerting, and recovery into pipelines • Improve processing efficiency, query performance, and infrastructure costs as data volume and product complexity grow • Partner with product, operations, platform, ML, and engineering teams to translate business needs into data solutions • Contribute to technical design, code reviews, documentation, mentorship, and maintainable data engineering practices

🎯 Requirements

• 7+ years of engineering experience focused on data engineering, data platforms, or backend systems involving substantial data processing • Strong proficiency with SQL and TypeScript • Experience designing ETL/ELT pipelines, data models, and orchestration workflows • Understanding of dependencies, retries, backfills, and schema evolution • Strong fundamentals in relational databases, data warehouses, and cloud infrastructure • Experience with query optimization and scalable storage and processing • Ability to own production data systems end-to-end, from design through rollout and ongoing support • Good product and workflow judgment • Practical approach to data quality, observability, access controls, and handling sensitive information • Ability to scope, plan, and execute independently on complex, open-ended problems • Clear communication with technical and nontechnical partners • Experience with healthcare data, EHR integrations, or interoperability standards such as FHIR is nice to have • Experience supporting ML pipelines, AI products, or datasets used for model training and evaluation is nice to have • Familiarity with Databricks, dbt, Airflow, Dagster, Spark, or comparable frameworks is nice to have • Experience building data infrastructure in a fast-growing startup is nice to have

🏖️ Benefits

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