ZipRecruiter

Log In

1

Data Engineer Contract Jobs in Toronto, ON (NOW HIRING)

NearSource

Senior Data Engineer

Toronto, ON

T4 Contract Experience: 5+ Years Rate: 60 to 70 CAD PH Role Summary: NearSource is looking for a Data Platform Engineer with expertise in Python, Spark, and Snowflake to join our engineering team in ...

Adastra

Senior AWS Data Engineer

Thornhill, ON · Hybrid

Contract - 3 Months RESPONSIBILITIES * Design, develop, and maintain scalable data engineering solutions on AWS * Build and manage data lakes using AWS Lake Formation, AWS Glue Data Catalog, Apache ...

New

Adastra Corporation

Senior AWS Data Engineer

Thornhill, ON · Hybrid

Contract - 3 Months RESPONSIBILITIES * Design, develop, and maintain scalable data engineering solutions on AWS * Build and manage data lakes using AWS Lake Formation, AWS Glue Data Catalog, Apache ...

Posted today

iQmetrix

Senior Data Engineer

Toronto, ON · On-site

About the Role: The Senior Data Engineer will design, build, and improve the data platform ... and dependency contracts, not just task graphs. * Improve the performance, reliability ...

Euna Solutions

Senior Data Engineer

Oakville, ON · Hybrid

CA$127K - CA$155K/yr

... contract, rather than a parallel approach. * Reliability discipline. Apply the guardrail honestly ... Senior data engineering experience, typically 6+ years, building and operating production pipelines ...

BMO Capital Markets

Data Scientist

Toronto, ON

CA$82K - CA$154K/yr

Data Analytics & Reporting This is a 12 month hybrid contract role in Toronto Uses advanced ... Work with data engineer to do data ETL. * Uses data mining and extracting usable data from valuable ...

previous pagenext page

Showing results 21-40

All JobsData Engineer Contract JobsData Engineer Contract Jobs in Toronto, ON

Data Engineer Contract information

What is a data engineer contract?

A Data Engineer Contract job is a temporary or project-based role where a data engineer is hired for a specific duration to design, build, and maintain data pipelines and infrastructure. Contract data engineers often work with big data technologies, ETL processes, and cloud platforms to ensure data is efficiently processed and accessible. These roles can be short-term (a few months) or long-term (a year or more), depending on the project's needs. Contractors may work independently or as part of a larger data team, and they are typically paid hourly or per project rather than receiving a fixed salary and benefits like full-time employees.

What are the typical daily responsibilities of a data engineer contract?

As a Data Engineer contractor, your day-to-day tasks often include designing, building, and maintaining data pipelines, implementing ETL processes, and preparing datasets for analytics or machine learning teams. You may be asked to collaborate with data scientists, analysts, and other engineers to understand data requirements and resolve technical issues. Contractors also frequently assess data quality, optimize performance, and document their work for seamless team integration. The role is fast-paced and may require you to quickly adapt to new projects or technologies, making it ideal for those who enjoy dynamic, project-based environments.

What are the key skills and qualifications needed to thrive in the data engineer contract position, and why are they important?

To thrive as a Data Engineer Contract, you need expertise in data modeling, ETL processes, and proficiency with programming languages such as Python or SQL, often supported by a degree in computer science or related field. Familiarity with big data platforms like Hadoop or Spark, experience with cloud services (AWS, GCP, or Azure), and certifications in relevant technologies are highly valued. Strong problem-solving skills, effective communication, and the ability to work independently are crucial soft skills. These abilities ensure data engineers can efficiently design scalable pipelines, troubleshoot issues, and collaborate across teams to support data-driven decision-making.

What are the most commonly searched types of Data Engineer jobs in Toronto, ON?

The most popular types of Data Engineer jobs in Toronto, ON are:

What are popular job titles related to Data Engineer Contract jobs in Toronto, ON?

For Data Engineer Contract jobs in Toronto, ON, the most frequently searched job titles are:

What job categories do people searching Data Engineer Contract jobs in Toronto, ON look for?

The top searched job categories for Data Engineer Contract jobs in Toronto, ON are:

What cities near Toronto, ON are hiring for Data Engineer Contract jobs?

Cities near Toronto, ON with the most Data Engineer Contract job openings:

Data Engineer Contract jobs near you
Infographic showing various Data Engineer Contract job openings in Toronto, ON as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 6% Hybrid, and 10% Remote job distribution.

Senior Data Engineer

NearSource

Toronto, ON

Full-time

Re-posted 12 days ago

Job description

Job Title: Senior Data Engineer
Job Location: Hybrid, Toronto, Ontario, Canada
Job Type: T4 Contract
Experience: 5+ Years
Rate: 60 to 70 CAD PH

Role Summary: NearSource is looking for a Data Platform Engineer with expertise in Python, Spark, and Snowflake to join our engineering team in Toronto. The selected candidate will architect and scale data pipelines, enable analytics, and support critical business insights for a Fortune 500 client.

Key Responsibilities

  • Design, build, and scale modern data platforms capable of handling both real-time and batch processing at enterprise scale.
  • Translate complex business and technical challenges into actionable solutions through detailed documentation and iterative delivery.
  • Automate deployment, monitoring, and management of cloud-based data infrastructure for high availability and reliability.
  • Implement and maintain CI/CD pipelines with a strong focus on automated testing and continuous improvement.
  • Collaborate closely with data engineers, data scientists, and product stakeholders to gather requirements and drive data best practices.
  • Develop and optimize SQL queries and data models to enable efficient analytics and reporting.
  • Create intuitive dashboards, reports, and analytical tools that provide actionable insights to business leaders.
  • Contribute to analytics initiatives such as performance tracking, segmentation, and revenue optimization.
  • Communicate findings effectively by presenting data-driven insights in a clear and strategic manner.

Required Skills & Experience

  • 5+ years of hands-on experience working with large-scale data systems, processing pipelines, and relational databases.
  • Strong expertise with Spark (DataFrames, Spark SQL, PySpark).
  • Advanced programming skills in Python and SQL, with a focus on clean, modular code.
  • Solid foundation in SQL concepts, dimensional data modeling, and data warehouses such as Hive or Snowflake.
  • Experience with workflow orchestration tools like Airflow.
  • Proficiency with BI tools such as Tableau, Power BI, or Qlik.
  • Knowledge of CI/CD practices and version control systems (Git, Jenkins).
  • Hands-on experience with interactive notebook environments (Jupyter, EMR, or Zeppelin).

Preferred Skills

  • Familiarity with Presto and AWS services.
  • Experience working with Looker for BI development.
  • Understanding of distributed system design with a focus on reliability and resilience.
  • Exposure to monitoring and observability tools.

Certifications / Education:

  • Bachelor's degree in Computer Science, Engineering, or related field (or equivalent training and experience)

Apply now, or share your resume with salary expectations at careers@nearsource.ca. Thank you for considering a career with us! Once you submit your application, our Talent Acquisition team will review your resume thoroughly. If there's a strong match, we'll reach out to discuss your experience, role details, benefits, compensation, and next steps. While we strive for transparency, we may not be able to respond to every applicant due to high volume, but we genuinely appreciate your time and interest.

About NearSource: NearSource Technologies is a trusted partner for future-ready software consulting, enabling Fortune 500 enterprises to accelerate digital transformation. Our global engineering teams build and deploy impactful technology for some of the world's most admired brands, working directly on long-term client initiatives.

Equal Opportunity Statement: NearSource is an equal opportunity employer committed to fostering an inclusive and respectful environment. We celebrate diversity and do not discriminate based on race, gender, religion, sexual orientation, age, disability, or background. Innovation thrives when everyone feels empowered to contribute.