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.
The Data Engineer will work closely with various departments to meet data requirements for analysis and modeling. They will be responsible for developing and maintaining data pipelines related to production processes, part data, and sustainability efforts within the company.
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.
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.
Senior Data Engineer role at Cash App within the Cash Data Science - Data Engineering & Empowerment Team. Responsibilities include data procurement, processing, and curation, working with various stakeholders, writing code in Python and SQL, maintaining AWS cloud platform, mentoring team members, and participating in support rotations. Looking for a professional with 5+ years of industry experience in data, analytics, and AI/ML, proficient in data concepts and technologies such as Python, Spark, SQL, AWS, Terraform, Databricks, Airflow, Snowflake, Postgres, and experienced with CI/CD, cloud infrastructure, distributed data processing, and Agile methodologies.
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Join Lyft as a Senior Data Engineer to build a scalable data platform, evolve data models, and implement data pipelines using cutting-edge technologies. Collaborate with passionate colleagues and contribute to making data-driven decisions for Lyft's mapping services.
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.
Featured Jobs
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.
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.
Sun Life is looking for a Specialist Development - Data Engineer to join their team. The role involves working with dynamic colleagues to help clients achieve financial security and wellness. The company offers a broad range of financial products and services, including insurance, investments, advice, and asset management. The ideal candidate will contribute to Sun Life's digital strategy and innovation efforts.
Looking for a Data Engineer with 4+ years of experience in IT industry, expertise in Python and Pyspark, and experience building data pipelines using Azure stack. The candidate should have strong analytical skills and the ability to align data systems with business goals.
Seeking a Data Engineer to design, develop, and implement data pipelines and solutions using Scala, Spark, and GCP. Responsibilities include data modeling, ETL processes, and ensuring data quality. Requires 3 years of experience and strong programming skills in Scala.
Looking for a Data Engineer with 8+ years of experience in database design, SQL, AWS cloud services, and object-oriented scripting languages. Must have strong analytical skills and the ability to generate insights from large datasets to solve business challenges.
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.
Lead the design and development of a robust data architecture, serve as a data and analytics solution architect, establish standards for data modeling and integration, work on batch and real-time streaming infrastructure, collaborate with cross-functional teams to design data solutions, and improve customer satisfaction for internal customers.
Senior Data Engineer working on developing and managing the core data platform for ratings infrastructure, implementing data solutions and pipelines, and enabling data-driven decisions within the organization and for customers.
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Join Square as a Senior Data Engineer on the Marketing Data Engineering team. Responsible for building and maintaining data infrastructure to drive revenue growth and accelerate seller acquisition. Work on end-to-end data flow for Marketing public web event data, design and maintain data pipelines, analyze new data sources, and assist in interpreting data trends.
Design, build, and manage data pipelines using Apache Spark and Scala. Utilize Google Cloud Platform for large-scale data processing systems. Analyze complex data sets and implement internal process improvements. Provide technical leadership and coaching to junior team members.
Develop high performance and scalable solutions to extract, transform, and load big data at Walmart Global Tech. Support People Data applications, ensuring data quality and governance standards. Collaborate with engineering teams to drive value from data at Walmart Scale.
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Senior Associate position in Data Engineering at J.D. Power, focusing on basic data connection, joining, exploring data, building data pipelines, executing production data tasks, and collaborating with colleagues. Impactful role in developing data products for the automotive industry.
The Data Engineer will be responsible for architecting, designing, and implementing advanced analytics capabilities. The right candidate will have broad skills in database design, be comfortable dealing with large and complex data sets, have experience building self-service dashboards, be comfortable using visualization tools, and be able to apply your skills to generate insights that help solve business challenges.
Seeking a Data Engineer to design, develop, and maintain data solutions for analytics and business purposes. Responsibilities include data integration, processing, retrieval, and transformation to enable valuable insights for decision-making. The role requires collaboration with cross-functional teams to enhance data solutions leveraging modern tech stack.
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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