Data Engineer jobs in Toronto

Job Title: Data Engineer (Data Pipelines & Modeling) Number of positions: 2 Experience Range: 5–10 Years Location: Warrendale, PA (time zone are from East Coast to Mountain time, but not West Coast) Note: Candidate should have medical device experience or healthcare . Key Responsibilities Design

Job Title: Senior Data Engineer – IFRS17 Insurance (Dataiku) Location: Toronto, ON Work Style: Hybrid (4 days WFO) Experience: 6–12 years Role Overview The Senior IFRS17 Data Engineer is responsible for designing, building, and maintaining high-performance, scalable, and reliable data engineering so

Position: Data Engineer with Python & Kafka Location: Toronto, ON - Canada (Hybrid) Duration: Long Term Years of Experience: 7--10 years of experience in core banking implementations or fintech engineering. Responsibilities: Design, develop, and implement data solutions using Cloudera and Azure

Role: Data Engineer (Google Cloud Platform) Location: Canada/ Remote Job Type: Full time Experience: 5 Years Role Overview: We’re looking for a skilled Data Engineer to design, build, and optimize scalable, cloud-native data pipelines on Google Cloud Platform (Google Cloud Platform) . The role invol

Role Description: · Senior Data Engineer with strong hands-on experience in Google BigQuery and the Cortex Framework, building scalable, cloud native analytics solutions on GCP. · Design, build, and optimize data pipelines and analytics models in BigQuery. · Implement and extend Cortex Framework dat

Skills - Snowflake/Hadoop/Scala/Spark/Hive/AWS Detailed Job Description Work within an Agile cross functional team to design, develop and maintain data ingestion flows and evolve the platform to orchestrate them. Design and implement data pipelines, framework and ETL processes. Ensure data quality,

Senior Data Governance Engineer – Azure/Databricks Drive enterprise data governance and cloud data engineering within a complex insurance environment, leveraging Azure Data Factory, Databricks, and advanced metadata tools. This hybrid Toronto-based contract offers a strategic role shaping data quali

Job Description: Snowflake Data Engineer Toronto - Hybrid (3 Days WFO) 6-12 months KEY ACCOUNTABILITIES: 1. Deep understanding of the Snowflake cloud data platform - writing procedures, functions, UDFs, snowflake window functions etc. (5+ years) 2. Strong hands-on experience with DBT for modular SQL

SQL Server Developer - SSIS, VB.NET Banking Domain Role Description Analyze highly complex business requirements and generate technical specifications to create data pipelines for applications. Create templates for data file pre‑processing, parsing, and transformation. Leverage industry and client b

Role: Senior Data Engineer – AWS (with architecture exposure) Location: Toronto Experience: 10+ years ? Key Responsibilities Lead the design, build, and evolution of cloud-native data engineering frameworks on AWS Architect and optimize end-to-end data pipelines (batch and streaming) for performance

What We're Doing Lockheed Martin is shaping the future of defense through cutting edge radar and missile defense technologies, and we want you to help write the next chapter. As the premier developer of active electronically scanned array (AESA) radars and integrated air and missile defense solution

Company Description To us, CoServe means that “we’re in it together” with our business partners. Your priorities are our priorities, and we are vested in your success. This core perspective drives everything we do. We’ve found that working together is what creates long-term value and profitability.

Job Description: Experience Required: 6–8 years Skills: Cloud & Big Data Engineering • GCP • Distributed Data Processing • ELT/ETL • Data Architecture Job Description We are seeking a highly skilled Senior Data Engineer with deep expertise in Google Cloud Platform (GCP), distributed data processing,

Confidential

Data Engineer (Python, GenAI & Regulatory Reporting) Toronto - Hybrid (3-4 days from Office) Primary Skill Digital : Python~AI & Gen AI - Products & Tools Role Summary The Data Engineer – Regulatory Reporting is responsible for designing, building, and maintaining data pipelines and AI powered solut

Carrington

Come join our amazing team and work remote from home! What you’ll do: Under direct supervision, responsible for assisting in the efforts to design, develop, and maintain databases and data integration (ETL) systems to support business applications and business intelligence for the enterprise. Perfor

Together, we own our company, our future, and our shared success. As an employee-owned company, our people are Black & Veatch. We put them at the center of everything we do and empower them to grow, explore new possibilities and use their diverse talents and perspectives to solve humanity's bigg

Total Experience: 6-10 years Role Description: JavaScript/NodeJS developers with AWS and Azure Cloud services in-depth knowledge, Key role is development and automation. Involve developing serverless functions (Lambda/Azure Functions), managing API integrations, and containerization. Typical require

Join the MEPPI Team! Mitsubishi Electric Power Products, Inc. (MEPPI) is seeking a Quality Engineer II - Data Center Cooling Systems to join our fast-growing Critical Power Solutions Division (CPSD) , supporting the performance, reliability, and continuous improvement of our Data Center Cooling Solu

Job Description Job Title: Azure Data Engineer - ETL, Azure Experience Required 6–8 years (with minimum 8 years noted for several responsibilities) Role Description The Data Engineer will be responsible for designing, developing, and maintaining enterprise-level data solutions with a strong focus on

Lyft

As a Data Engineer on the Mapping team, you will collaborate with our world class team of engineers, product managers, and data scientists to grow and improve the quality of recommended routes and accuracy of our travel time estimations. You will architect, build, and maintain scalable data pipeline