Top Data Engineer Jobs in Toronto
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As a Data Engineer at Shift4, you will architect, build, and deploy applications and data systems for the Mission Control Center. Responsibilities include utilizing data tools like SQL and Pyspark, building APIs, configuring writebacks and webhooks, and creating automated workflows. Qualifications include 5+ years of data engineering experience and a Bachelor's degree in a relevant field.
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Seeking a highly skilled Senior Big Data Engineer with expertise in developing batch processing systems using the Apache Hadoop ecosystem and working on Machine Learning pipelines. Responsible for developing scalable code, managing batch pipelines, and leveraging GCP for big data processing. Requires strong communication skills and ability to solve complex problems independently.
Looking for a Senior Data Engineer to optimize data systems and data pipeline architecture, create data infrastructure systems, manipulate data using various tools, integrate data across platforms, lead data architecture and integration solutions, and assess new opportunities with new technologies.
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Design modular and scalable real time data pipelines, implement architectural improvements for big data ML pipelines, work on microservice architectures, implement custom ML algorithms, and design scalable distributed systems for StackAdapt's digital advertising platform.
Manage a team of data engineers working on cloud transformation, security, analytics, and data governance projects for top GCP customers. Provide leadership, technical expertise, and architectural guidance. Develop high-quality data pipelines, troubleshoot issues, and collaborate with Data Scientists on pipeline design. Mentor team members and communicate data insights effectively at senior management levels.
As a Senior Data Engineer (Reasoning ML) at a company specializing in autonomous vehicles, you will be responsible for creating and curating datasets for training and evaluating ML planner components. You will build effective data analysis tools, work on ML model development, and actively participate in operational support for the team. Responsibilities also include developing data pipelines, implementing metrics, leveraging the Oxa Metadriver™ platform, and contributing to hiring and onboarding new team members.
Rill Data is seeking a Data Engineering Lead who will have a direct impact on Rill and its customers by implementing the data infrastructure, leading a team of data engineers, and driving implementations of customer data pipelines. The ideal candidate will have experience in designing and managing enterprise-level database systems, working with high volume and high velocity data, and using tools like Python, Scala, SQL, Apache Flink, Apache Beam, Apache Spark, DBT, Airflow, Snowflake, BigQuery, Redshift, HIVE, and Apache Kafka.
Building data pipelines, text analysis algorithms, and decision-making engines. Optimizing data-intensive applications and implementing machine learning pipelines. Working with Spark, S3, Timescale, Python, and Rust. Experience in building and deploying data applications is required.
Seeking a Senior Big Data Engineer with expertise in developing batch processing systems using Oozie, Airflow, and Apache Hadoop ecosystem on GCP. Responsibilities include scalable code development, data workflows management, and automation practices. Requires strong programming skills, GCP experience, and proficiency in cloud services. Must have Google Associate Cloud Engineer Certification and 5+ years of relevant experience in customer-facing roles and cloud migrations.
As a Staff Data Engineer at Northbeam, you will work with a cross-functional team to build, maintain, and scale data pipelines for marketing attribution in the direct-to-consumer space. Responsibilities include integrating data sources, designing APIs, and mentoring team members. The role requires expertise in Python, SQL, and Linux/UNIX, along with 6-8 years of experience in a startup environment.
As a Staff Data Engineer at Fortis Games, you will play a key role in shaping the technical vision and implementation of the data platform. Responsibilities include building and enhancing data infrastructure, ensuring low latency and scalability, driving data quality improvements, and collaborating with cross-functional teams to support business growth.
Senior Data Engineer role at Quantiphi in Canada, responsible for managing digital customer interaction channels, optimizing workflows, developing real-time solutions, implementing integrations using AWS Lambda, managing backend integrations with databases, and building scalable solutions using AWS services.
Seeking a Staff Data Engineer to provide technical leadership, drive the architecture of data handling, mentor engineering teams, and translate business concerns into technical solutions. Must have 8+ years of experience, expertise in data management practices, and experience with secure data and SaaS products in an Agile environment.
As a Data Architect at Kainos, you will provide expertise in core data architecture disciplines, work closely with clients to understand data requirements, lead technical solutions, manage a team, and contribute to industry-leading technical expertise in Data & Analytics.
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The Staff Data Engineer at Faire will lead a Core Data Infrastructure team to support product launches and roadmaps by building data models and pipelines for insights. Responsibilities include strategic vision, operational excellence, team leadership, data quality standards, and embracing emerging technologies.
Responsible for developing, deploying, and monitoring Data Science solutions that involve Machine Learning, Deep Learning, and other AI techniques. Transform business challenges into scientific research problems, develop data-driven solutions, build and execute data science projects, deploy and maintain solutions, present results, protect algorithms, collaborate with teams.
Manager-Data Engineering role responsible for designing, developing, and maintaining data infrastructure to support efficient data management and analytics. Oversees a team of data engineers and builds a data-centric culture within the team. Responsibilities include data modeling, infrastructure design, data strategy, team leadership and development, security and compliance, and tool selection and evaluation.
Responsible for developing, deploying, and monitoring Data Science solutions involving Machine Learning, Deep Learning, and other AI techniques. Transform business challenges into scientific research problems, develop data-driven solutions, and collaborate with internal teams. Requires 5-7 years of experience in developing and deploying ML and DL solutions.
As a Senior Data Migration Engineer, you will oversee the migration of data to Google Cloud Platform, analyze data structures, design migration strategies, ensure data integrity and security, provide technical guidance, optimize processes, and document best practices. Strong technical skills in GCP services, data migration tools, database technologies, and scripting languages are required. You will also define and implement cloud-based solutions, following best practices and enterprise architecture guidelines.
Experienced Data Architect responsible for designing and implementing robust data solutions using Snowflake platform. Collaborate with stakeholders to align data architecture with business objectives. Optimize performance and ensure data integrity and security. Evaluate and adopt new technologies to enhance data management capabilities.
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