Data Engineer

Job description

Design, deploy and maintain a centralized Azure ADLS Gen2/Databricks/Synapse (or Snowflake) data lake that serves as the single source of truth Create batch & real‑time ETL/ELT flows (Azure Event Hubs, Kafka, Spark Streaming) to ingest EHR data and operational telemetry Write and run complex migration scripts using Informatica PowerCenter/IDMC or Azure Data Factory to move data from Epic, other EHRs and legacy OLTP stores into the lakehouse and Salesforce Health Cloud Build automated validation, deduplication, masking, encryption and column‑level security to guarantee 100% integrity and PHI compliance Build high‑throughput pipelines (SOQL, Bulk API 2.0, Informatica, MuleSoft, dbt, Python) that sync Health Cloud data with the central repository Transform HL7, FHIR and EDI messages into clean canonical schemas for storage and analytics Design Robust Data Models – Perform ER/3NF modeling for OLTP and dimensional (star/snowflake/medallion) modeling for OLAP analytics Bachelor’s degree in Computer Science, Software Engineering, Data Analytics, or a related technical field Experience: 3-7 years of hands-on data engineering experience, with a proven track record of executing complex data migration projects and building cloud data lake architectures. Expertise in ER (Entity-Relationship) diagramming, relational database modeling (3NF for OLTP), and dimensional modeling (Star Schema, Snowflake, Medallion) for OLAP systems Experience with enterprise ETL platforms such as Informatica (Informatica PowerCenter / IDMC), Azure Data Factory, SSIS, or Talend for legacy data extraction and transformation Experience with cloud data architectures (Azure data services: Azure Data Factory, ADLS Gen2, Azure Synapse, Databricks) and familiarity with streaming/real-time pipelines (Event Hubs, Kafka, Spark Streaming) Experience working with Salesforce data structures, SOQL, Salesforce Bulk API, and data loading tools (e.g.,Informatica Salesforce Data Loader, MuleSoft, Fivetran, dbt, or custom Python scripts) Expert-level SQL skills (complex joins, CTEs, window functions, schema design, index tuning, and database optimization) Strong Python skills for data manipulation, scripting, and pipeline execution using libraries like Pandas, PySpark, and SQLAlchemy Compensation is based on experience (Annual salary range $95,000 - $105, 000) #corp_IT This position is a current vacancy Spectrum Health Care is thrilled to be named one of Canada’s Best Managed Companies. This award recognizes top companies across Canada for overall performance, sustained growth, strategy, capabilities and innovation, culture and commitment, and leadership. Click here to learn more about this esteemed honour. We thank all applicants, however, only those individuals selected for interviews will be contacted. In accordance with the Accessibility for Ontarians with Disabilities Act 2005, upon request, support will be provided for accommodations throughout the recruitment process. If you require accommodation because of disability through the recruitment process, please contact Human Resources at () for assistance. Spectrum Health Care is committed to fostering, cultivating and building a culture of diversity, equity and inclusion within our organization. We strive to attract, engage and develop a workforce that reflects the diverse communities that we serve and we know a diverse workforce is key to the growth and success of our organization. Are you a Data Engineer with experience building cloud-based data solutions and transforming healthcare data into actionable insights? At Spectrum Health Care (Spectrum), we're building a centralized Cloud Data Lakehouse to support clinical analytics, AI initiatives, and business intelligence across the organization. You’ll play a key role in Spectrum’s digital transformation and innovation, supporting high-impact initiatives to migrate data from legacy EMR systems, cutting-edge EHR platforms, and critical business applications into our cloud stack ecosystem and Salesforce Health Cloud. In this role, you'll design, build, and optimize batch and real-time data pipelines, develop OLTP and OLAP data models, and leverage enterprise-grade ETL tools such as Informatica to deliver secure, compliant, and high-quality datasets. Your work will provide the trusted data foundation to support clinical decision-making, operational excellence, analytics, and AI-drive initiatives across our organization. If you're passionate about data engineering, cloud technologies, and delivering high-quality data that drives meaningful outcomes for patients, families and the communities we proudly serve, we'd love to hear from you.