Top Data Engineer Jobs in Toronto
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.
Design and optimize data pipelines, work with various data sources, develop and deploy ETL processes, and improve data management processes in a data-driven environment.
_0.png)
Design modular and scalable real time data pipelines, implement custom ML algorithms, work on microservice architectures for ML models, and collaborate with data scientists and engineers at StackAdapt.
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.
Develop high performance and scalable solutions that extract, transform, and load big data. Design, build, test, and deploy cutting-edge solutions at scale impacting millions of customers worldwide. Provide guidance and mentorship to junior data engineers and ensure data quality and governance standards are met.
Automate manual processes through SQL and Python, design ETL solutions, analyze and extract data, create data visualizations, work with Google Analytics, and manage data infrastructure. Bachelor's or Master's degree in relevant field required. Must have 2-4 years of experience in digital marketing analytics.
Design, build, and maintain scalable data pipelines and ETL processes, optimize data models for analytics and machine learning, ensure data quality and integrity, collaborate with data scientists, manage database systems, maintain data security, evaluate new technologies, document data architectures.
Seeking a Data Engineer with 4+ years of experience in IT industry, expertise in Python, Pyspark, and building data pipelines using Azure stack. Must have strong analytical skills and the ability to align data systems with business goals.
Seeking a Senior Data Engineer with extensive experience in building self-service enterprise scale data platforms with microservices architecture. Responsible for architecture, design, and development of the enterprise data platform, including data storage optimization, data quality frameworks, advanced analytics, and machine learning capabilities. Collaborates with cross-functional teams to design data models and storage solutions while staying updated on the latest data engineering trends and technologies.
Data Engineers at Credera work closely with Subject Matter Experts to design the ontology, develop data pipelines, and integrate Foundry with external systems. Responsibilities include project work with Palantir Foundry, Python expertise, machine learning, and collaboration with Product teams. Requirements include proficiency in Python, PySpark, SQL, AWS, Git, and agile working methodology.
Looking for a Data Engineer with 8+ years of experience in database design, SQL knowledge, AWS cloud services, and object-oriented scripting languages to generate insights and solve business challenges.
Lead Data Engineer role within DNA Data Integration Services team focusing on Hadoop and Cloud data transformations, legacy code modernization, and business program support. Collaborate with various teams to enhance technologies and data processes.
Seeking a Senior Data Engineer to design, implement, and maintain data pipelines for healthcare data. Responsibilities include ETL pipeline development, data governance, technical leadership, and troubleshooting. Qualifications include 5+ years of data engineering experience, proficiency in Python and SQL, and familiarity with data warehousing concepts and cloud platforms.
Seeking an experienced Data Engineer with expertise in Dataiku to design, build, and maintain data pipelines, integration processes, and infrastructure. Collaboration with stakeholders for efficient data flow and support data-driven decision making.
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.
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.
The Data Engineer will be responsible for architecting, designing, and implementing advanced analytics capabilities, handling large and complex data sets, building self-service dashboards, using visualization tools, and generating insights to solve business challenges.
As a Senior Data Engineer at Kainos, you will design and develop data processing and data persistence software components for solutions handling data at scale. You will work in agile teams and provide strong development leadership in large-scale data processing software.
As a Lead Data Engineer at Kainos, you will be responsible for designing and developing data processing and data persistence software components for solutions handling data at scale. You will provide development leadership, enforce best practices, and ensure software product due diligence. Your responsibilities also include troubleshooting, working on ETL/ELT data processing pipelines, and collaborating with various teams for operational readiness and security compliance.
The Data Science Engineer at Coalition is responsible for owning and maintaining robust data models, collaborating with various teams, improving the analytics data stack efficiency, mentoring junior employees, and more. The role requires expertise in SQL, Python, R, data modeling, analytics tools, and strong communication skills.
Design, build, and optimize data pipelines, contribute to data warehouse management, implement ETL processes, collaborate with data scientists for data analysis, optimize performance, document data models, collaborate within a cross-functional team.
The Senior Data Engineer at OTIP Group of Companies is responsible for building, maintaining, and enhancing Azure data pipelines for various analytical and operational use cases. They lead data migration, data warehousing, and master data management solutions in the Azure cloud. Additionally, they coach and mentor junior staff and team members.
Collaborate with various teams to build data pipelines, infrastructure, and tools to support business initiatives. Design and maintain data pipelines, enhance data engineering architecture, ensure performance and reliability goals are met. Adapt to new technologies, maintain data lake integrity, take ownership of projects, and collaborate with teams across the company.
.png)
The Senior Data Engineer on the Growth team at Lyft owns the data architecture and pipelines for growth campaigns, ensuring reliability, accurate reporting, and cost-efficiency. They collaborate cross-functionally to align business goals with data engineering efforts.
Senior Data Developer role at Enable, a SaaS rebate management platform. Responsibilities include designing new ways of processing Enterprise scale data, introducing leading edge technologies, inventing complex big-data algorithms, and shaping processes within the engineering organization. Opportunity to work on a Series C rocket ship and collaborate with a hyper-talented team.
Top Toronto Companies Hiring Data Engineers
See All
All Filters
No Results
No Results
