Top Data Engineer Jobs in Toronto
As a Data Engineer at Movable Ink, you will be responsible for modeling ingested data, implementing data pipelines, creating data products, and collaborating with various teams to drive data-driven decisions. The company specializes in content personalization through data and AI decisioning.
As a Principal Data Engineer at Movable Ink, you will be responsible for owning the infrastructure and code for ETL processes within the Data Platform. You will design, implement, and optimize ingestion pipelines to enable seamless data extraction and loading from various sources. The role involves partnering with internal teams, ensuring data accuracy, maintaining ETL pipelines, and enforcing data security policies.
The Senior Data Engineer at Babylist will be responsible for defining the next stages of maturity in data platforms, with a focus on building and scaling Machine Learning pipelines. They will work cross-functionally to deliver data solutions that drive product growth and innovation.
As a Data Engineer at Xanadu, you will contribute to the platform and infrastructure for software and hardware products, working on tasks like data management, designing data pipelines, and enabling quantum hardware operation. Required qualifications include a BSc in a related field, 3 years of experience, expertise in Python, SQL, and ETL processes, and proficiency in data modeling concepts and cloud environments.
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The Senior Data Engineer I at Pax8 designs, develops, tests, deploys, and maintains systems for data collection, transformation, storage, and management. They work on individual projects based on deadlines, collaborate with teams, and provide technical leadership in data system development. Responsibilities include building scalable data pipelines, mentoring junior engineers, and optimizing code quality. Ideal candidates have 4+ years of data engineering experience with expertise in Python, SQL, Apache Spark, Apache Kafka, and job orchestration tools.
Seeking a Senior Data Engineer to design and maintain data infrastructure and ETL processes, collaborate with the Data Analytics team, and provide BI analysis. Responsibilities include building and optimizing scalable data architectures, integrating data from diverse sources, and creating dimensional models. Must have 5-7 years of cloud experience, hands-on experience with big data technologies, and proficiency in SQL and AWS stack. Undergraduate or Masters degree in relevant fields is required.
As a Data Engineer at Gore Mutual Insurance, you will be responsible for building and maintaining the data platform, facilitating data accessibility, accuracy, and accountability for data-driven decision-making. Collaborate with cross-functional teams to ensure robust and scalable data processes.
Looking for a Data Engineer with expertise in Python to work on large datasets, ensuring data quality, analyzing data using statistical techniques and machine learning algorithms, and communicating findings to stakeholders through visualizations and reports.
Featured Jobs
Looking for a Data Engineer to join a globally distributed team, responsible for building end-to-end data pipelines, developing analytical processes, managing the data lake, and collaborating on various data-related tasks. Must have strong analytical mindset and experience in databases, visualization, and modeling techniques.
Seeking dynamic and highly skilled Senior and Principal level Data Engineers to design and build the core foundation of an Enterprise Data Platform, involving architecting, designing, and developing core data platform components with a microservices architecture, creating data platform SDKs and libraries, and optimizing data storage and processing performance for large-scale datasets.
Design, develop, and maintain big data platform using Scala, Spark, and other technologies within the Hadoop ecosystem. Strong foundation in data engineering and streaming data architectures required.
Seeking an enthusiastic Entry-Level Data Engineer with a focus on AI to assist in designing, building, and maintaining data infrastructure that supports artificial intelligence and machine learning initiatives. Responsibilities include data pipeline development, data integration, AI & ML support, data monitoring, and troubleshooting. Preferred skills include practical knowledge of programming languages, SQL, AI frameworks, big data technologies, cloud platforms, data modeling, and strong analytical skills.
Seeking an experienced Data Engineer to architect and develop data pipelines, collaborate with clients, design cloud-based data platforms, implement data governance best practices, build data models, and work on comprehensive data solutions. Must have 5+ years of experience in data engineering, expertise in cloud data services, and familiarity with BI tools and programming skills in Python.
Develop reusable reporting solutions, design and implement efficient data solutions, document data mart framework, develop complex data marts and stored procedures, work on database monitoring and optimization, collaborate with Data Engineering and Governance team, research on industry trends and best practices
Specialist Development - Data Engineer role at Sun Life, a leading financial services company. Responsible for working with dynamic colleagues to provide financial security and wealth products and services to clients globally. Opportunity to contribute to innovative technology and asset management.
Develop high performance and scalable solutions to extract, transform, and load big data. Design, build, test, deploy cutting-edge solutions at scale. Support People Data applications, ensure data quality, and interact with engineering teams. Implement data quality checks, validation, and cleaning processes.
Publicis Canada is seeking a skilled Data Engineer to design, build, and maintain data infrastructure. Responsibilities include developing data pipelines, optimizing data models, ensuring data integrity, and collaborating with stakeholders. Qualifications include a Bachelor's or Master's degree in Computer Science, 1 year of professional experience, strong programming skills, and proficiency in SQL and big data technologies.
Coordinate with data scientists, data analysts, software engineers, and product managers to design and evolve data architecture, build and scale ETL pipelines, maintain data infrastructure systems, write tools in Python, research new technologies, and advocate for tool adoption within the data engineering team.
As a Data Engineer at Walmart, you will be responsible for developing and maintaining data pipelines to support data science initiatives. You will work with a mammoth scale of data to create valuable data assets for retail analytics. Collaboration with Data Scientists, Analysts, and business stakeholders to solve complex challenges is crucial for evolving the retail business model.
Looking for a Data Engineer with deep understanding of relational databases and modern data stacks, and a desire to code in Rust. Responsible for improving Graph Node’s capabilities as a data processing and querying engine, familiarizing with the Rust codebase, using subgraphs, analyzing code, setting up performance tests, and collaborating with colleagues.
The Data Engineer at Sovereign will be responsible for maintaining large historical data stores, cleaning data, and building tools for researchers to access data easily in different formats.
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Join Lyft as a Data Engineer to develop robust data infrastructure, design insurance data pipelines, and collaborate with internal and external teams for informed decision-making. Leverage data expertise to refine models and drive innovation.
The Data Engineer III at Sam's Club Tech will work on building and supporting a sophisticated segmentation tool for marketing/advertising purposes, developing backend software services for advertising on Walmart.com, and maintaining APIs for advertisers to manage ad campaigns.
Develop high performance and scalable solutions for extracting, transforming, and loading big data. Design and deploy cutting-edge solutions at scale to drive value from data at Walmart. Support People Data applications ensuring Data Quality and Governance standards. Collaborate with engineering teams globally to ensure data accuracy and quality.
Design, build, test, and deploy cutting-edge solutions at scale impacting millions of customers worldwide. Develop high-performance and scalable solutions/APIs in Storm, Spark, and big data. Work on optimizing data pipelines and architectures involving petabyte and terabyte of data. Collaborate with engineering teams and engage with product management to drive the agenda and deliver product features. Analyze and test programs before launch, ensure software security, and seek ways to improve software effectiveness.
Top Toronto Companies Hiring Data Engineers
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