Job Description You will be working on a flexible hybrid schedule as part of Fidelity’s dynamic working arrangement. Current work authorization for Canada is required for all openings. The work location for this role is 483
Sr. Software Engineer, Hive – Cloudera Location: Toronto, Ontario, Canada Salary: CA$104,550.00–CA$135,300.00 Employment type: Full‑time Business Area Engineering Seniority Level Mid‑Senior Level Remote Option Remote Role Job Description At Cloudera, we empower people to transform complex data
Rumble is the Freedom-First technology platform. We proudly offer a video platform, cloud services, advertising solutions, and a non-custodial cryptocurrency wallet. Rumble is building the analytics and data platform that powers executive decision-making, operational intelligence, and
Principal Databricks Data Engineer Experience Required: 12–18 Years Key Requirements • 12–18 years of overall Data Engineering experience • 8+ years of experience with enterprise Data Warehouse and Data Lake platforms • 5+ years of hands-on
As a Senior Data Engineer, you will design, build, and continuously improve critical data processing and analytics pipelines. You will solve complex technical problems to enhance platform reliability, resiliency, and scalability, and you will deliver dashboards
Principal Data Engineer – Databricks | Spark | Delta Lake | PySpark | Data Lakehouse | AWS/Azure Job Description Location: Toronto Work Model: Onsite (4 days/week) Key Requirements • 12–18 years of overall Data Engineering experience.
Job Title: Senior Big Data Developer – Snowflake, Spark & AWS Location: Toronto Work Model: Hybrid (4 Days WFO) Position Overview We are seeking an experienced Senior Big Data Developer to join the Data Engineering team.
Job Title: Data Engineer/ Python Developer Job Location: Missisauga,Canada Job Type: Full-Time Job Description: Design, develop, and maintain software solutions using Python. Developed Python and pyspark programs for data analysis. Good working experience with python to
At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Pricing is at the core of
The AI Data Engineer is a critical role that bridges the gap between data science and engineering, enabling the development and deployment of data assets with integrated models. This role is responsible for building and maintaining
Job Title: Java & Hadoop Developer Location: Toronto, ON (4x onsite a week) Employment Type: Contract Pay Rate: CAD$45 - $50/HR INC Interview Type: Face 2 Face (Onsite Interview Only) Job Description 6 to 8+ Years
Join a leading financial services firm as a Senior Big Data Engineer in Toronto, ON, utilizing your expertise in Spark and Scala. Develop high-performance data solutions within a hybrid work model. Iriss client, a major multinational
Iriss client, one of the worlds largest multinational investment banking and financial services corporation is looking to hire an Big Data Engineer . Our direct client is a world‑leading financial services company that provides consumers, corporations,
Principal Data Engineer – Databricks | Spark | Delta Lake | PySpark | Data Lakehouse | AWS/Azure Location: Toronto Work Model: Onsite (4 days/week) Key Requirements 12–18 years of overall Data Engineering experience. 8+ years of
Job Description Work on a flexible hybrid schedule. Current work authorization for Canada is required. The work location is 483 Bay Street in Toronto until late 2026, after which it will move to the new Mississauga
Job Title: Senior Big Data Developer – Snowflake, Spark & AWS Location: Toronto Work Model: Hybrid (4 Days WFO) Position Overview We are seeking an experienced Senior Big Data Developer to join the Data Engineering team.
Ready to make your next big professional move? Join us on our journey to achieve our big dream of building the most loved restaurant brands in the world. Restaurant Brands International Inc. is one of the
Overview We are working on building Liquidity Risk platform for one of US banks. Our team is growing and we have a need in additional developer that will help in building Core part of platform. Our
Responsibilities Design and build realtime and batch data pipelines for fraud detection and AML monitoring. Process streaming transaction data using Apache Spark and Kafka. Develop ETLELT workflows supporting customer transaction and risk datasets. Ensure data quality traceability
At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Pricing is at the core of