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Senior Big Data Software Engineer (Snowflake + DBT)
Senior data engineer designing and maintaining scalable data warehouse and ELT pipelines that power analytics and business decisions. Day-to-day work centers on Snowflake, dbt, SQL, Python, and Apache Airflow on AWS, with emphasis on performance, data quality, and cost efficiency.
Analytics Engineer (X)
Analytics Engineer at xAI/SpaceXSI building and optimizing large-scale data pipelines and data infrastructure (Spark, Kafka/Flink) to power quantitative decision-making, plus developing statistical models, A/B tests, and monitoring for real-time analytics. Requires Python, SQL, and distributed computing experience; onsite in Palo Alto, $140k–$225k plus equity and benefits.
Analytics Engineer
Analytics Engineer on Robinhood's Data Science team in Toronto, building ETL pipelines, data models, and analytics products that power company-wide decision-making, product strategy, and regulatory reporting. Core stack includes SQL, Python, Apache Spark, Airflow, and BI tools like Superset, Looker, or Tableau; hybrid with 3 days/week in-office.
Senior Data Platform Engineer & AI Lead
Lead the design and build of a new data engineering platform for Tangerine (Scotiabank's banking brand), supporting analytics and production ML workloads on modern cloud platforms. Day to day: architect secure, scalable data pipelines, mentor engineers, and partner with data scientists and product teams.
Staff Data Engineering Technical Lead
Staff-level data engineering lead at Capital One's Toronto team: owns technical design for fault-tolerant, multi-platform enterprise applications, applying data modeling and architecture expertise in Python on AWS, while supporting machine learning and conversational AI initiatives in a regulated financial-services environment.
Staff Engineer - Data Engineering Staff
Capital One is hiring a Staff Data Engineer in Toronto to act as a tech lead, owning technical design and development of cross-functional, multi-platform, fault-tolerant data systems for banking. Core stack: 6+ years with Python/Java/Go, AWS (preferred) or Azure/GCP, plus data design, modelling and architecture.
Senior Manager Software Data Engineering
Leads software and data engineering teams at Scotiabank in Toronto, delivering APIs, integrations, data platforms, and analytics for finance, risk, and regulatory reporting while driving cloud modernization, DevOps, and CI/CD across enterprise systems.
Staff Data Platform Engineer
Hands-on staff-level technical lead on Loblaw's Retail Media Platform team in Toronto, designing large-scale batch, streaming, and analytical data pipelines on cloud platforms using SQL plus Python, Scala, or Java, while mentoring engineers and leading cross-team design reviews.
Staff Data Engineer - Retail Media Platform
Staff Data Engineer on Loblaw's Retail Media Platform team, leading hands-on design of large-scale data platforms, pipelines, and backend services powering measurement, reporting, analytics, and AI features. Core stack includes SQL, Python/Scala/Java, cloud data platforms (GCP: BigQuery, Dataproc, Airflow), Spark, and Kafka.
Lead Cloud Data Platform Engineer
Lead data platform engineer at Ipsos in Vancouver, expanding the Ipsos DataHub by architecting and delivering production-grade cloud data pipelines on GCP using Python, SQL, BigQuery, and GCS, with CI/CD, infrastructure as code, incident response, and mentoring of data engineers.
Senior Power Systems Data Engineer
Senior engineer/analyst on AESO's Grid Analytics team in Calgary, combining data engineering, business intelligence, and Python development to build BI platforms, visualizations, and market simulation tools supporting Alberta's power grid operations, planning, and reliability.
Senior Cloud Data Engineer
Senior data engineer building and optimizing cloud-based data pipelines and cost-efficient warehouses on Google Cloud (BigQuery, GCS) for Ipsos DataHub, using Python and SQL, plus serverless design, production migration, and AI/LLM-based tooling.
Senior Data Engineer (Modern Data Stack) [Only Canada]
Tekton Labs, a technology outsourcing company, is hiring a Senior Data Engineer to collaborate with a Canadian financial-sector client. Day to day: designing Snowflake data models, building dbt ELT pipelines and Dagster/Airflow orchestration, writing Python/SQL, and managing AWS/Azure infra with Terraform and GitHub Actions CI/CD.
Director of Data Engineering
Director-level leader who owns Alpaca's data engineering strategy and roadmap on-site in Canada, managing leads and delivering data platforms for Finance, Sales, Product, Compliance, and Customer Success, while staying hands-on with Python, SQL, dbt, cloud infrastructure, and AI-powered analytics in financial systems.
Principal Data Engineer
Principal Data Engineer at Tangerine (Scotiabank's digital bank) in Toronto: leads the design and hands-on build of a new data engineering platform enabling business analytics and production AI/ML. Core focus on data pipelines, warehousing, and cloud platforms (GCP, AWS, Azure), plus technical leadership and mentoring.
Senior Data Engineer Toronto
Senior Data Engineer owning Clutch's end-to-end data platform at Canada's largest online used-car retailer — building reliable ELT pipelines, warehouse models, and DevOps/observability practices with Snowflake, dbt, Airflow, Python, and AWS to power analytics, pricing, and financial services. Hybrid role, three days a week in downtown Toronto.
Senior Data Engineer/Data Architect at Oshawa
Senior Data Engineer at Ontario Power Generation in Oshawa builds and supports ELT/ETL pipelines, data lake and data warehouse products for reporting and analytics, using the Azure stack (Data Factory, Synapse, Databricks) plus Python, Spark and SQL, with CI/CD, data governance and production support duties.
MLOps / Data Engineer
MLOps/Data Engineer on Triton Digital's listener data team, productionizing machine learning for audio-advertising audience signals: building CI/CD pipelines for ML workflows, optimizing large-scale data processing with Apache Spark, and managing Databricks environments. Core stack is Python, Spark, Databricks, and cloud platforms. Must be based in Ontario or Quebec.
Senior Data Engineer
Senior Data Engineer on Ipsos' DataHub team in Vancouver: builds, optimizes, and troubleshoots cloud-based serverless data pipelines and warehouses for large-scale datasets, using Python, SQL, and GCP (BigQuery, GCS) with some AWS, and drives code migrations to production. Salary CAD 100k-110k.
Lead Data Engineer
Lead Data Engineer on Ipsos' DataHub team in Vancouver: architect, design, and operate cloud-based serverless data pipelines and warehouses on GCP (BigQuery, GCS) for large-scale datasets, while providing hands-on technical leadership, mentoring, and SRE-style production reliability for the data platform.