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Intermediate data engineer at Gravity Conseil in a permanent, hybrid role (1 day/week on-site) based in Montreal or Quebec City, delivering data analytics and governance solutions for clients, including Quebec's health network. Core stack: Microsoft Fabric, Azure, and Power BI.
Hybrid AI Data Engineer at HHMI in Chevy Chase, MD builds AI-ready data pipelines from ingestion to content serving using Databricks, Spark, Python, and SQL — implementing medallion architecture, workflow orchestration, governance, and data quality to power AI functionality for scientific research.
Senior Databricks Data Engineer building Azure Databricks data pipelines and production AI/ML solutions for oil & gas client projects — sensor/telemetry pipelines, anomaly detection, and natural-language data interfaces. Core stack: Azure Databricks, Spark, Python, SQL, and modern LLM tooling.
Apptoza Inc. is hiring a senior AWS data engineer/platform leader in Toronto to set enterprise data strategy, build cloud-native batch and streaming data pipelines on AWS, and mentor mid-level data engineers, championing data quality, observability, and cost optimization.
Lead data engineer at AtkinsRéalis in Montreal, driving engineering work and delivering data solutions on the Orb platform and Azure. Day to day: building data flows, ensuring data quality and production support, while mentoring analysts and architects in a hybrid work arrangement.
Senior Data Engineer owning Nesto Group's Commercial Analytics platform in Microsoft Fabric in Vancouver — handling data ingestion, modeling, security, and serving for Power BI reports and client extracts, while migrating Azure Data Factory pipelines and legacy reports to Fabric with CI validation.
A consulting delivery role in Avanade's Data & AI practice: lead the design and delivery of enterprise data platform, analytics, and AI solutions for clients using Microsoft Azure, Fabric, and Databricks, while engaging stakeholders, owning technical workstreams, and mentoring engineers.
Jobright.ai is hiring an early-career Data Engineer in Canada to design and build scalable AI data pipelines. Day to day they own the ETL/ELT lifecycle, apply data modeling best practices, ensure data quality, and deliver reliable datasets for analytics and product teams.
Leads software development for data acquisition, IoT devices and systems integration on applied research projects at Mohawk College's EPIC lab, building data pipelines, APIs and real-time dashboards. Core stack is Python, AWS, Plotly and Grafana, alongside mentoring students and coordinating with industry partners in a hybrid environment.
Senior Data Engineer who owns NimbleRx's data platform end-to-end, building reliable batch and streaming pipelines with PySpark, Kinesis, and EMR, designing warehouse/SCD data models, and ensuring security and compliance to support better patient outcomes in healthcare.
Senior Data Engineer owning NimbleRx's (Swoop/MyHealthTeam) data platform end-to-end: building batch and streaming pipelines with PySpark/EMR, Kinesis, Lambda, and Step Functions into an Iceberg lake, modeling the warehouse, optimizing Postgres-backed services, and owning security, compliance, and internal AI tooling while mentoring other teams.
Lead Solution Architect in Avanade's Data & AI practice in Toronto: shapes client deals and architectures, provides technical leadership on client projects, and leads delivery of data platforms and analytics using Python, SQL, Microsoft Azure Data Services, Fabric and Databricks.
Senior AWS Data Engineer on a 12-month contract (extension possible) in Toronto, designing and running enterprise-scale data pipelines for a banking client. Core stack: AWS Glue (PySpark), Lambda, S3 data lakes, Redshift, DynamoDB, Kinesis/Kafka streaming, Airflow, and IaC with CDK or Terraform.
Senior Data Engineer on Arc'teryx's Supply Chain Analytics squad, designing scalable batch/streaming and lakehouse architectures with Azure Databricks, PySpark, and SQL/Python, optimizing ETL/ELT pipelines, leading cloud migrations, and mentoring engineers. Hybrid/remote from North Vancouver; temporary role at CAD $94k–$124k.
Senior Data Engineer who owns the Commercial Analytics data platform in Microsoft Fabric at CMLS Commercial (Nesto Group): designing and maintaining ELT pipelines, dimensional models, and Power BI semantic models, migrating Azure Data Factory/SSRS to Fabric, and leading stakeholder-facing data initiatives end to end.
Lead Data Engineer serving a Fortune 100 insurance client via Iris Software — designs and maintains scalable ETL/ELT pipelines, dbt models, and stored procedures on cloud platforms like Snowflake, validates data quality, and collaborates with data architects and business analysts. Core stack: SQL, Python, Snowflake, dbt.
Location: Toronto, ON Hybrid Contract: Long Term | Experience: 8+ Years Job Summary Seeking an experienced AWS Data Engineer to build and support scalable data pipelines and cloud data platforms for banking and…
Senior Data Engineer at a consultancy that builds ML and data engineering solutions for large clients. Day to day you own platform design end to end — architecting ingestion, storage and processing, building batch/streaming pipelines (Microsoft Fabric, Databricks, Snowflake, Spark, Kafka) and advising non-technical stakeholders. Hybrid role, one office day a week in Montreal or Toronto.
Senior Data Engineer at Clutch, Canada's largest online used-car retailer, owning the data platform end to end — building ELT pipelines, data models, and data quality/observability on Snowflake, dbt, Airflow, Python, and AWS to power analytics and financial-services work. Hybrid role based in downtown Toronto three days a week.
Hands-on data engineer on HHMI's AI Accelerator who builds and operates the AI-facing data layer: Databricks medallion pipelines, workflow orchestration, Unity Catalog governance, and embedding/vector infrastructure on AWS. Hybrid role - three days a week on-site in Chevy Chase, MD.