69 Data Engineering And Infrastructure jobs in Toronto.

Toronto

• Skills: AI-powered, cloud data management, data quality solutions, sales engineering, customized solutions, client collaboration, technical expertise, growing team, data products, core values
• Experience: Deep technical expertise in data management and sales engineering
• Type: Full-time

Toronto

• Skills: data management, analytics, business intelligence, technical expertise, software engineering, cloud engineering, innovative solutions, engineering excellence, continuous learning, team collaboration

Toronto

• Skills: machine learning, data pipelines, autonomous vehicles, data analysis, cloud infrastructure, model validation, synthetic data, driving policies, metrics, collaboration
• Experience: 3+ years of professional experience developing behavioural machine learning technologies for autonomous vehicles or robotics.
• Type: Full-time
• Salary: Competitive salary, benchmarked against the market and reviewed annually

Toronto

• Skills: AI-powered features, financial applications, data-driven solutions, system scalability, data integrity, cloud technologies, operational excellence, financial reporting, cross-functional teams, innovative solutions
• Experience: Proficiency in designing and implementing AI-driven solutions within enterprise applications, with a strong understanding of financial systems.
• Type: Full-time
• Salary: $119,000 — $140,000 CAD

Toronto

• Skills: Data Engineer, Python, Pyspark, data pipelines, Azure stack, Apache spark, Delta Lake, ETL processing, SQL queries, Azure Data Factory
• Experience: 4+ years of experience in IT industry

Toronto

• Skills: Data Engineering, data infrastructure, realtime data ingestion, batch data ingestion, data transformation, data serving, scalable platforms, high-performance applications, collaboration, reliable infrastructure
• Type: Full-time

Toronto

• Skills: InsurTech, Data Team, technical strategy, iterative development, autonomous deployment, security concerns, scalability, coaching, mentoring, employee training
• Experience: Mid-level Subject-Matter-Expert
• Type: Remote-first

Toronto

• Skills: operations systems, data transformation, strategic direction, modernization, optimization, advanced methodologies, data quality, scalability, efficiency, innovation
• Type: Full-time

Toronto

• Skills: pre-sales, Sales Engineering, technical pre-sales, data science, analytics, big data, SQL, NoSQL, Kubernetes, Spark
• Experience: At least eight years of experience in technical pre-sales, preferably in a high-growth environment
• Type: Full-time

Toronto

• Skills: QA Engineer, functional testing, data pipelines, data systems, cloud-based solutions, business analytics, commercial sales execution, data engineering, end-to-end ownership, innovation
• Type: Full-time

Toronto

• Skills: Software Engineer, Map Data, microservices, big-data processing, AWS, Kubernetes, Spark, Apache Airflow, object-oriented programming, mapping technologies
• Experience: 5+ years of professional software engineering experience
• Type: Full-time
• Salary: CAD $136,000 - CAD $187,000

Toronto

• Skills: Data Architecture, Data Ingestion, Event-based Logging, Data Quality, Data Pipelines, Python, SQL, Snowflake, Data Modeling, Apache Airflow
• Experience: 5+ years of experience in data engineering roles
• Type: Full-time
• Salary: $133,000 — $166,000 CAD

Toronto

• Skills: data engineering, data architecture, data infrastructure, cloud platforms, AWS, Databricks, ETL processes, A/B testing, AI and ML, high-performing teams
• Experience: 12+ years of relevant experience in Analytics, BI and Data Warehousing.
• Type: Full-time
• Salary: Competitive salary with bonus

Toronto

• Skills: Azure Data Factory, PySpark, Databricks, Data Lake, Big Data, Cloud technologies, SQL, Python, Data pipelines, REST APIs

Toronto

• Skills: Data Engineering, Machine Learning, Data Governance, Data Platforms, Self-service Analytics, Data Pipelines, Data Modeling, Cross-functional Collaboration, Technical Roadmap, Data Strategy
• Experience: Over 10 years of software development experience, with 7+ years specializing in data engineering and analytics
• Type: Full-time

Markham

• Skills: Data Engineering, Apache Confluent, Real-time Data Processing, Data Pipelines, Monitoring Solutions, Data Integration, Documentation, Best Practices, Collaboration, Technical Skills
• Experience: 4+ years of experience in data engineering or software engineering
• Salary: $117,000.00 - $210,600.00

Toronto

• Skills: Software Development, Engineering, Financial Technology, Data Analysis, SQL, Generative AI, Code Optimization, Collaboration, User Experience, Data Processing

Toronto

• Skills: data pipelines, ETL, SQL databases, RESTful API design, data warehouse, event driven systems, microservices, data governance, cryptocurrencies, cloud technologies
• Experience: 6+ years
• Type: Full-time
• Salary: CAD 180,000 - 240,000

Toronto

• Skills: Software Development, Engineering, Data Management, Financial Technology, Remote Work, Hybrid Work, SQL, Generative AI, Data Analysis, Product Development

Oakville

• Skills: AI/ML, SaaS, cloud-native architectures, microservices, Agile, DevOps, CI/CD, leadership, collaboration, performance optimization
• Experience: 10+ years of experience in software engineering, with the last 5 years in Director or VP of Engineering role.
• Type: Hybrid
• Salary: $167,000 - $200,000 plus an annual target bonus

Toronto

• Skills: Adobe CDP, Data Engineering, ETL, SQL, APIs, Cloud Platforms, Data Quality, XDM, Data Integration, Monitoring
• Experience: Minimum 2 years of hands-on experience with Adobe CDP implementations.
• Type: Full-time

Toronto

• Skills: data platform, data infrastructure, data architecture, data governance, cloud-native, AWS, ETL, OLAP, real-time streaming, mentoring
• Experience: 10+ years of hands-on experience in data engineering or data platform roles
• Salary: CAD $150K to 200K

Toronto

• Skills: data integration, ETL, API, data quality, data modeling, cloud platforms, SQL, data pipelines, problem-solving, communication
• Experience: 3+ years of experience in data engineering, ETL, and API development
• Type: Full time
• Salary: CA$162K – CA$188K

Toronto

• Skills: data engineering, analytics engineering, data pipelines, ETL, real-time streaming, NoSQL, Cassandra, MongoDB, SQL, Python
• Experience: 8+ years of experience in data engineering or analytics engineering
• Type: Full-time

Toronto

• Skills: software engineering, data infrastructure, cloud solutions, OLAP databases, data pipelines, Airflow, Python, streaming systems, Kafka, Kinesis
• Experience: At least 5 years of software engineering experience.
• Salary: $139,000-$173,000/year in Denver, Austin, Miami, Chicago, and Atlanta, $152,000-$188,000/year in Los Angeles, $131,000-$162,000/year CAD in Toronto, and $169,000-$209,000/year for San Francisco, Seattle and New York.

Toronto

• Skills: Data Engineer, data solutions, data infrastructure, AI, technical skills, communication skills, collaboration, data-centric, problem-solving, financial management

Toronto

• Skills: Python, Kubernetes, Snowflake, data engineering, SaaS, cloud-based, data products, infrastructure, event-driven architectures, devops
• Experience: 5+ years
• Type: Full-time

Toronto

• Skills: AWS, Big Data, data architecture, data pipelines, data ingestion, data warehouse, data lake, cloud services, ETL, analytics
• Experience: 5+ years experience leading engagements from design to implementation of creative data solutions leveraging the latest in Big Data frameworks.
• Type: Full-time

Toronto

• Skills: data pipeline, data processing, data quality, ETL, SQL, MapReduce, data modeling, data schema, code reviews, workflow management
• Experience: 2+ years of relevant professional experience
• Type: Full-time
• Salary: $108,000-$135,000 CAD

Toronto

• Skills: Data Engineering, Cloud Data Warehouse, Data Pipelines, SQL, Azure, Data Analysis, ETL, Data Governance, Data Management, Big Data
• Experience: 3+ years of related work experience in Data Engineering in Cloud Data Warehouse environment.
• Type: Full-time

Toronto

• Skills: Data Engineering, Data Pipeline, Data Quality, ETL, SQL, Hadoop, Data Analytics, Performance Tuning, Workflow Management, Data Modeling
• Experience: 3+ years of relevant professional experience
• Type: Full-time
• Salary: $108,000 - $135,000 CAD

Toronto

• Skills: data engineering, data platform, pipelines, machine learning, scalability, cloud environments, team management, technical leadership, data architecture, ETL/ELT
• Experience: 7-10+ years in data engineering
• Type: Full-Time

Toronto

• Skills: data science, machine learning, analytics, CI/CD, AWS, Python, SQL, Bayesian modeling, data pipelines, statistical methodologies
• Experience: 4+ years of work experience in data science, machine learning or analytics roles
• Type: Full-time

Toronto

• Skills: data development, business development, financial technology, software innovation, customer experience, product management, data analysis, financial solutions, remote work, collaboration

Toronto

• Skills: Data Engineering, Microsoft Fabric, Azure, Data Architecture, Data Pipelines, REST APIs, Data Storage, Data Security, Data Integration, Governance
• Experience: 7+ years of proven experience as a Data Engineer
• Type: Full-time

Toronto

• Skills: data platform, pipelines, cloud infrastructure, integration, machine learning, data products, team management, scalability, real-time processing, ETL
• Experience: 7-10+ years in data engineering, with leadership experience
• Type: Full-Time

Toronto

• Skills: Python, AWS, Data Engineering, Software Development, Architecture, Code Reviews, Cloud Technologies, Data Modeling, Financial Services, System Design

Toronto

• Skills: Kafka, Flink, Stream processing, Event-driven architecture, distributed computing, microservices, Java, data consistency, cloud infrastructure, observability
• Experience: 3+ years in an Engineering Manager role

Toronto

• Skills: Data Engineering, Google Cloud Platform, Data Services, Data Architecture, Data Hub, Agile, ETL, Data Lineage, Stakeholder Management, Data Streaming
• Experience: 10+ years in data engineering

Toronto

• Skills: data pipelines, data architecture, Azure Fabric, Databricks, Snowflake, ETL/ELT, big data, SQL, Python, data security

Toronto

• Skills: data, analytics, solutions, visualization software, powerBI, Tableau, Alteryx, PowerApps, agile, design thinking

Toronto

• Skills: analytics engineering, data stack, ELT pipelines, dimensional models, semantic layers, SQL, cloud data warehouses, data models, self-serve BI, data quality
• Experience: 4–6 years of experience in analytics engineering, data analytics, or data engineering

Toronto

• Skills: data strategy, AI/ML, cloud architecture, analytics product development, enterprise data programs, governance models, data platforms, real-time insights, stakeholder management, multi-disciplinary teams

Toronto

• Skills: ETL, SQL Server, Azure Data Factory, Data Analysis, Data Modeling, Power BI, Agile Scrum, Azure DevOps, Data Lakes, Data Pipeline
• Experience: 5-7 years
• Type: Full-time

Toronto

• Skills: data pipelines, Databricks, AWS DMS, data lake, streaming data, CDC, Apache Spark, data quality frameworks, cloud resource optimization, technical consulting
• Experience: 6+ years of experience in enterprise data engineering with Fortune 500 companies
• Type: Full-time

Mississauga

• Skills: Snowflake, SnowSQL, Airflow, ETL, Big Data Analytics, Cloud Data Platform, Data Warehousing, Data Transformation, Tableau, CI/CD
• Experience: 7+ Years of experience as a Snowflake Data Engineer
• Type: Full-time

Toronto

• Skills: data management, real-time updates, ERP, CRM, digital transformation, AI, customer 360, data collaboration, software development, feature implementation
• Type: full_time
• Salary: {'min': None, 'max': None, 'period': '', 'currency': ''}

Toronto

• Skills: Data Pipelines, Python, Dagster, ETL, BigQuery, CI/CD, Docker, Terraform, Event Data, Data Governance
• Type: full_time
• Salary: {'min': None, 'max': None, 'period': '', 'currency': ''}

Toronto

• Skills: Data & AI/ML, Disaster Recovery, Infrastructure, agile software development, cloud-based services, S-SDLC, CI/CD practices, data platforms, observability, technical program management
• Type: full_time
• Salary: {'min': 104200.0, 'max': 130200.0, 'period': 'annual', 'currency': 'CAD'}

Toronto

• Skills: Google Cloud Platform, data pipelines, data ingestion, ETL, ELT, data quality, DevOps, BigQuery, data engineering, Python
• Type: full_time
• Salary: {'min': None, 'max': None, 'period': '', 'currency': ''}

Toronto

• Skills: data modeling, ETL processes, cloud infrastructure, observability, monitoring, APIs, scalability, data transformation, automation, user-facing analytics
• Type: full_time
• Salary: {'min': 123000.0, 'max': 180000.0, 'period': 'annual', 'currency': 'CAD'}

Toronto

• Skills: Data Engineer, Databricks, PySpark, SQL, Data Lake, performance tuning, data quality, structured data, unstructured data, Capital Markets
• Type: full_time
• Salary: {'min': None, 'max': None, 'period': '', 'currency': ''}

Toronto

• Skills: Analytics Engineering, SQL, Data Pipelines, Airflow, dbt, Data Warehousing, Data Modeling, Data Governance, Data Quality, Data Transformation
• Salary: {'min': None, 'max': None, 'period': '', 'currency': ''}

Toronto

• Skills: data platforms, analytics products, AI technology, cloud data architecture, data governance, agile methodologies, cross-functional leadership, cloud-based data solutions, real-time analytics, data privacy
• Type: full_time
• Salary: {'min': None, 'max': None, 'period': '', 'currency': ''}

Toronto

• Skills: AI, Sales Engineering, Analytics, Data Science, Big Data, SQL, NoSQL, Kubernetes, Spark, Pre-sales
• Type: full_time
• Salary: {'min': None, 'max': None, 'period': '', 'currency': ''}

Toronto

• Skills: data platform, data governance, scalable systems, data-intensive features, AWS, S3, Redshift, Glue, AI/ML, high availability
• Type: full_time
• Salary: {'min': 150000.0, 'max': 200000.0, 'period': 'annual', 'currency': 'CAD'}