Top Data Engineer Jobs in Toronto
Seeking a seasoned Staff Data Engineer to lead data engineering initiatives and build end-to-end analytical solutions using modern cloud technologies. Responsibilities include designing and managing data pipelines, ensuring data quality, building new data models, and mentoring team members. Ideal candidates will have extensive experience in data engineering and technologies such as Snowflake, ETL/ELT, AWS, and Python scripting.
Lead Data Engineer responsible for ETL activities, data modeling, and building data infrastructure to support decision-making and business process optimization. Collaborate with teams to deliver medium-high complexity initiatives aligned with IT Risk objectives. Own projects to elevate KRI reporting and be an expert on available data sets and tools.
Seeking a Staff Data Engineer to lead data engineering initiatives and build analytical solutions. Responsibilities include designing data pipelines, managing data infrastructure, ensuring data quality, and mentoring team members. Requires 8+ years of experience in data engineering and expertise in Snowflake, ETL/ELT, AWS, Python, and DevOps tools.
Lead and drive the execution of multiple business plans and projects related to data engineering. Implement new architectural patterns and promote high standards of code quality and system reliability. Must have strong hands-on experience with Hadoop, Hive, Apache Spark, and expertise in cloud computing platforms such as Google Cloud Platform (GCP).
As a Senior Data Engineer at Viral Nation, you will design and maintain robust data pipelines, implement efficient data models, integrate data from various sources, optimize performance, enforce data governance, and collaborate with cross-functional teams.
Seeking an experienced Data Engineer skilled in Java and Scala to lead technical and agile teams in software development projects at eBay. Responsibilities include design, development, team leadership, and collaboration with cross-functional teams to deliver innovative solutions. Requires a strong foundation in computer science fundamentals and database experience.
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As a Senior Data Engineer at Lyft, you will be responsible for scaling up data processing flow, evolving data models, ensuring data quality and consistency, developing self-service data pipeline management tools, and improving data processing performance. You will work with a passionate team using technologies such as Spark, Hadoop, AWS, Kubernetes, and Apache Airflow.
Lead the design and implementation of reliable data pipelines, data storage solutions, data modeling, and integration technologies. Manage specific data pipelines, optimize data processes, identify improvements, automate data processes, and collaborate with teams to articulate data strategies. Promote best practices in data engineering, cloud infrastructure, networking, and security.
Create AI systems for consumer products and experiences using xAI's models and algorithms. Scale products to millions of users globally. Contribute to data curation, filtering, and cleaning for large models. Craft consumer app data flywheel and identify product direction from usage data.
As a Senior Data Engineer at Royal Bank of Canada, you will be responsible for analyzing structured and unstructured data, preparing data using Python and SQL, developing data pipelines, and supporting project completion. Must have 3+ years of experience with databases, SQL, and scripting languages. Knowledge of JCL, ServiceNow, and insurance industry is a plus. Full-time position in Mississauga, Canada.
Design, build, and maintain scalable and efficient data services to collect, process, and transform data from various sources into usable format. Integrate diverse data sources and formats, including structured and unstructured data, APIs, and streaming data.
Design and build data solutions using the latest technologies, contribute to team and community, seek out innovations, work on transformational and BAU projects, utilize DevOps, and be part of an agile team for end-to-end delivery of business needs.
Join Figment as a Senior Data Engineer to build and manage data pipelines, implement data modeling, and automate data processes. Collaborate with teams to improve data infrastructure and promote best practices in data engineering.
Exadel is seeking a highly experienced Senior AWS Developer to design and implement complex Data applications using AWS services, Spring framework, Apache Camel, Kafka, and SQL. Responsibilities include developing Java-based applications, real-time data processing, data transformation logic, and staying updated with industry trends.
As a Senior Data Engineer at Totango + Catalyst, you will be responsible for designing and implementing the next-generation data architecture using technologies such as Databricks, TiDB, and Kafka. This remote position in Canada and the U.S. involves driving high-impact data engineering projects, collaborating with cross-functional teams, and ensuring data quality and scalability.
As a Senior Data Engineer at Totango + Catalyst, you will be responsible for designing and implementing the next-generation data architecture using technologies like Databricks, TiDB, and Kafka. Responsibilities include driving high-impact data engineering projects, optimizing performance of data solutions, collaborating with stakeholders, and ensuring data quality and reliability.
Work as a Senior Data Engineer at Badal by TELUS, a GCP consulting company based in Toronto. Responsibilities include working with technical leads and clients to demonstrate GCP technology benefits, designing data pipelines, solving high-scale data problems, and supporting clients in troubleshooting issues. Must have GCP experience, expertise in Dataflow or Spark, programming skills in Python, Java, or Scala, and experience with modern data architecture and GCP services. Nice to have experience with streaming technologies and data governance tools. Looking for passionate team players with strong communication skills and a client-focused mindset.
As a Data Engineer at Outschool, the role involves leading data modeling and system design for the product and data backends. Responsibilities include building data models for analytical, operational, and customer-facing purposes, ensuring data quality and validity, and integrating data sources into an effective platform.
Sphera is seeking a Software Engineer with 1-3 years of experience to join their SpheraCloud engineering team. The role involves working on a SaaS application to help companies achieve their ESG goals by utilizing technologies like Scala, Hadoop, and Akka.
Seeking a Senior Data Engineer to work on collecting, storing, processing, and analyzing huge sets of data. Responsibilities include building data pipelines, creating integration pipelines, working with databases, and implementing process improvements. Must have 2+ years of experience with cloud-native production systems on AWS, strong Python and SQL coding skills, and experience with data cleansing and ETL workloads.
Drive custom risk Analytics and Insights to business partners by building and operating a modern data stack for reporting & analytics. Contribute to the success of risk oversight strategies and objectives. Architect, implement, and manage data models and pipelines for cloud data platform/services.
Lead designing and implementing scalable data ingestion systems for analytics and ML/AI solutions, analyze complex data flows, design data models, develop observability systems, drive research on new software tools, and support data user needs.
Lead and enhance data lake platform, develop long-term data architecture standards, create tactical solutions for data management, analyze and implement Big Data technologies for business intelligence, and drive projects merging digital and transactional data for analytics.
Join Index Exchange as a Senior Data Engineer to build big data solutions with real-time streaming and batch analytical capabilities. Work on managing terabytes of data for internal and external reporting and analytics needs.
Build and maintain scalable reliable data pipelines, optimize solutions for handling and analyzing time series data, work with Apache Spark and Apache Flink for large-scale data processing, handle relational and time series databases like Postgres, TimescaleDB, and InfluxDB, implement and manage workflows using Airflow, collaborate with data scientists to deploy and optimize machine learning models, monitor and improve data systems.
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