Top Data Engineer Jobs in Toronto

The Analytics Platform & Reliability Engineer will own the uptime, performance, and operational excellence of the analytics systems at Rumble, collaborating cross-functionally to optimize queries and manage BI platform infrastructure.

Design and own end-to-end data quality systems for managed AI data studies: define rubrics, sampling plans, automated checks, launch gates, drift detection, dashboards, and calibration. Investigate integrity issues, run root-cause analysis, build automation in Python/SQL, and partner with Product, Engineering, and Operations to embed quality controls, train reviewers, and scale repeatable quality playbooks across programs.

Lead the design and implementation of data architecture for Arteria AI, focusing on data modeling and the ClickHouse-based data product. Collaborate with product teams, write Python code, and mentor engineers while ensuring data integrity for regulated industries.

The Data Visualization Developer will create and support dashboards in Power BI, develop SQL scripts, perform regression testing, and troubleshoot existing scripts.

The Staff Backend Engineer will architect high-throughput streaming systems, define technical direction, mentor engineers, and solve complex problems for Helius' core products.

As a Senior Software Engineer, you'll design and build scalable market data systems, improve API architecture, and enhance overall system performance, contributing to Alpaca's infrastructure for trading financial assets.

The Senior Data Analytics Engineer will develop reporting solutions, perform data analysis, improve data quality, and collaborate with stakeholders to enhance business metrics understanding. They should have strong SQL skills and at least 7 years of experience in analytics roles.

As a Backend Engineer on the Data team, you will design and maintain data pipelines and services, ensuring data quality and scalability while collaborating with cross-functional teams to meet data needs.

Design and build data architectures, oversee ETL/ELT pipelines, collaborate with stakeholders to optimize data usage, and implement data quality frameworks.

Develops enterprise-grade data solutions using Azure Databricks and Python, ensuring compliance with standards while optimizing data engineering practices across multiple platforms.

The role involves building and optimizing big data pipelines, designing data architectures, collaborating with data scientists, and driving technical strategy for data processing infrastructure.

Design and develop eBay's Core Data Platform, focusing on building scalable distributed systems for data ingestion, governance, and analytics. Collaborate across teams to ensure reliability and enhance data processing capabilities.

As a Staff Backend Engineer, you will develop complex backend solutions, focusing on the Spark-based data platform while ensuring code quality and collaborating closely with teams.

As a Senior Data Engineer at Nimble, you will manage the end-to-end data platform, build pipelines, enhance data modeling, collaborate with teams, ensure data security, and mentor others.

As a Senior Software Engineer, you will drive high-impact initiatives in data engineering, mentor junior team members, and build scalable, customer-facing applications. You will collaborate with cross-functional teams to enhance product features and contribute to the team's vision.

As a Python and Kubernetes Software Engineer, you will develop data analytics solutions using open source tools, collaborating with a distributed team.

Seeking a Senior Data Engineer to develop and maintain data pipelines using Microsoft Fabric and Azure Data Factory, ensuring data security and compliance while optimizing data solutions and collaborating cross-functionally.

As a Senior Data Engineer, you will build a data platform, create data pipelines for market and trade data, and collaborate with traders and quants to enhance analytical workflows.

The Senior Data Engineer designs and manages data pipelines, partners with stakeholders to translate business needs, and enforces engineering standards while mentoring teammates and ensuring data governance.

The Salesforce Data Cloud Developer will architect, design, and implement solutions using Salesforce Data Cloud, ensuring data quality and security while leading a team and integrating third-party systems.

Develop and support features of the DataRobot GenAI platform, focusing on unstructured data connectivity and processing, while driving key projects and milestones.

Design and maintain data systems for business-critical insights, connect data across platforms, build ETLs, and support business data decisions.

Develop and maintain machine learning platforms and generative AI applications, enrich big data, ensure infrastructure health, and support data integration with internal teams.

The Senior Data Engineer will scale the data ecosystem, construct data models, build systems for KPI tracking, and ensure data safety.

Own and enhance Venn's data infrastructure, build reliable ETL/ELT pipelines, design data models, partner with engineering, improve data quality, and support analytics for business decisions.