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Job Title


Remote Data Engineer-(Azure | Spark | Power BI)


Company : Power Personnel


Location : Toronto, Ontario


Created : 2026-03-27


Job Type : Full Time


Job Description

Remote Data Engineer (Azure | Spark | Power BI) Are you a Data Engineer who enjoys building scalable data systems and wants your work to have real-world impact? Were partnering with a Toronto-based health tech company transforming chronic wound care through AI-powered Skin and Wound software. With 29+ million wound images and 5,000+ healthcare facilities using their platform globally, your data pipelines and dashboards will directly support clinicians and improve patient outcomes. Why This Role Is Different You wont just maintain reports; youll own and scale the data backbone of a growing healthcare platform by expanding and optimizing Spark pipelines, strengthening Azure based data infrastructure and automation, elevating Power BI reporting across Engineering, Product, and Clinical teams, influencing data architecture decisions, improving system reliability, and delivering insights that shape product strategy and operational execution. If you want technical ownership, meaningful visibility, and direct healthcare impact, this is that opportunity. Compensation & Work Schedule Salary: $100,000$115,000 CAD Schedule: MondayFriday (standard business hours) Location: Remote (Canada-based) Whats In It for You 100% employer-paid health coverage (no payroll deductions) $1,000$1,500 Health Spending Account annually $1,500 annual dental coverage (100% for preventive/basic) $5M emergency travel coverage 24-week parental leave top-up (up to 85% salary) $2,000 annual learning & development budget Remote-first across Canada + up to 90 days working abroad Flexible, trust-based PTO Competitive pay Refer-a-friend bonus* 24-hour accessibility Personalized service High ownership and autonomy in a growing data function Opportunity to shape Azure-based data architecture Direct collaboration with senior technical leaders Meaningful healthcare impact at scale What You Bring 35 years of hands-on Data Engineering experience Strong Spark experience (PySpark preferred; core Spark required) Strong Python skills for scripting and data engineering Advanced SQL skills (Postgres strongly preferred) Experience designing and maintaining ETL pipelines and data workflows Hands-on Power BI dashboard ownership (building new dashboards and enhancing existing ones) Experience with Azure Data Factory and Azure Functions Strong data modelling knowledge Cloud experience (Azure preferred; AWS/GCP acceptable if open to Azure) Ability to work independently in a fast-moving environment Eligibility to work in Canada Preferred Experience with additional Azure services (Synapse, Databricks, Fabric, storage services) Healthcare or regulated industry experience Startup or high-growth company background Microsoft data certifications What Youll Be Building Youll design and scale the data infrastructure powering a global healthcare SaaS platform. Your impact will include Building and optimizing Spark-based data pipelines Writing Python and SQL to transform and model production data Designing scalable data models to support reporting and analytics Owning and enhancing Power BI dashboards used across the business Improving performance, reliability, and governance of Azure data workflows Partnering with Product and Engineering to translate business needs into scalable solutions If youre looking for technical depth, end-to-end ownership, and meaningful real-world impact, this role delivers all three. About Us Power Personnel has been partnering with healthcare professionals since 1994. We are experts in healthcare staffing, trusted by hospitals, clinics, and healthcare facilities throughout Northern California. We pride ourselves on offering competitive pay, excellent working conditions, and a supportive team environment. Our mission is to connect talented professionals with meaningful opportunities that promote growth and success in healthcare. Refer a friend at and get $500bonus for every referral!* In order to get the bonus, the person referred must work at least 20 shifts. #J-18808-Ljbffr