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Contract Graduate Data Engineer Jobs in Toronto, ON

Collaborate with AI Engineers to define data contracts and ensure pipeline outputs meet solution requirements for schema, latency, and freshness. * Instrument data pipelines for monitoring, alerting ...

Collaborate with AI Engineers to define data contracts and ensure pipeline outputs meet solution requirements for schema, latency, and freshness. * Instrument data pipelines for monitoring, alerting ...

Data Engineer III

Toronto, ON

CA$96K - CA$136K/yr

We are hiring a Senior FinOps Data & Automation Engineer to build the data, automation, and ... Integrate billing, usage, tagging, metadata, CMDB, application, owner, finance, contract, and ...

Our engineering team operates with high autonomy and direct customer impact. We live by P.I.E ... You'll work across Snowflake, Power BI, and the data contracts in between, with visibility into how ...

Data Engineer

Toronto, ON

CA$70K - CA$80K/yr

We'relooking for a Data Engineer with3-5years of hands-on experience to join our team.You'llown the ... Dentsu Media Time Type: Full time Contract Type: Permanent

Senior Data Engineer Structure: Hybrid (2 days onsite / 3 days remote) - Toronto Duration: 6-Month Contract Pay Rate:up to $100 INC p/h -- We have a great new opportunity to support one of our ...

Own CI/CD for data andplatform components: code review, environment promotion, automated tests (unit, integration, data contract), and versioned artifacts. * Partner with Platform/SRE on SLIs/SLOs ...

Contract Compensation: $80/hour Location: Remote Role Responsibilities * Use frontier AI coding agents to complete and evaluate complex data engineering tasks. * Review model-generated ...

Lead Data Engineer

Toronto, ON · Remote

CA$220K - CA$260K/yr

The Lead Data Engineer heads a lean, high-caliber squad of data engineers, while remaining deeply ... Establish patterns for data contracts, ownership, SLAs, and runbooks that help downstream teams ...

... data contracts, and implementation plans * Develop and troubleshoot advanced Snowflake SQL ... Partner with Finance, Data Engineering, Analytics, and application teams to resolve data issues ...

Senior Data Engineer

Toronto, ON · Hybrid

CA$125K - CA$140K/yr

This is a blended Data Engineering and Data Modeling role responsible for designing enterprise data ... Open to those interest in FT employment as well as Contractors (initial 6 mos contract with strong ...

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 ...

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Contract Graduate Data Engineer information

What is a contract graduate data engineer?

Contract Graduate Data Engineers are early-career professionals who work on a temporary or project basis to help organizations manage, process, and analyze data. They typically have recently completed a degree in a relevant field, such as computer science, data science, or engineering. Their responsibilities may include building data pipelines, supporting data infrastructure, and working closely with data scientists and analysts. Contract roles allow graduates to gain hands-on experience, develop technical skills, and explore different industries while contributing to data-driven projects.

What are the typical responsibilities and learning opportunities for a contract graduate data engineer?

As a Contract Graduate Data Engineer, you can expect to work on tasks such as building and maintaining data pipelines, cleaning and transforming datasets, and assisting with data integration projects. You will often collaborate closely with data scientists, analysts, and senior engineers, giving you exposure to best practices in data architecture and analytics. The contract nature of the role offers the chance to quickly gain experience across different tools and technologies, which can be valuable for career growth. While you may face challenges adapting to fast-paced project timelines, you'll also benefit from mentorship and hands-on learning opportunities in a supportive team environment.

What are the key skills and qualifications needed to thrive as a contract graduate data engineer, and why are they important?

To thrive as a Contract Graduate Data Engineer, you generally need a degree in computer science, mathematics, or a related field, as well as foundational knowledge in data structures, algorithms, and database management. Familiarity with programming languages like Python or SQL, experience with data processing tools such as Apache Spark, and knowledge of cloud platforms like AWS or Azure are commonly required. Strong problem-solving skills, effective communication, and adaptability are crucial soft skills for collaborating with teams and handling evolving project needs. These skills and qualities ensure accurate data handling, efficient workflow integration, and the ability to deliver valuable insights in dynamic contract-based environments.

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

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

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

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

Infographic showing various Contract Graduate Data Engineer job openings in Toronto, ON as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 25 days ago


GEI Consultants rating

7.6

Company rating: 7.6 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

285th of 450 rated engineering


Job description

Description

Your role at GEI. 
 
The Data Engineer is responsible for designing, building, and maintaining the data pipelines and integrations that power GEI’s AI solutions and digital initiatives. This role focuses on ensuring enterprise data is accessible, reliable, and governed so that AI capabilities can be deployed and scaled with confidence.
 
The Data Engineer plays a hands-on role by preparing and integrating the data foundations that AI solutions depend on. This includes building ingestion pipelines, managing data stores, implementing quality and governance controls, and supporting retrieval patterns such as RAG. This role works closely with AI Engineers, solution architects, and platform teams to ensure data infrastructure is production-ready, secure, and aligned with GEI standards.
 
Essential Responsibilities & Duties 
  • Design, build, and maintain data pipelines that ingest, transform, and deliver enterprise data to AI solutions and business applications.
  • Develop and manage integrations across enterprise data sources using APIs, Graph connectors, event-driven architectures, and batch/streaming patterns.
  • Build and maintain data stores and indexing infrastructure that support retrieval-augmented generation (RAG) and other AI consumption patterns.
  • Implement data quality, validation, and lineage controls to ensure accuracy and trustworthiness of data feeding AI workflows.
  • Support and optimize data models underpinning Power BI dashboards and AI-enabled analytics.
  • Collaborate with AI Engineers to define data contracts and ensure pipeline outputs meet solution requirements for schema, latency, and freshness.
  • Instrument data pipelines for monitoring, alerting, cost control, and performance optimization.
  • Implement data governance and security controls including access management, encryption, and compliance with organizational data policies.
  • Identify data-related risks and support mitigation strategies in collaboration with architecture and platform teams. 
Minimum Qualifications 
  • 4+ years of data engineering experience, with demonstrated ability to build and operate production data pipelines.
  • Proficiency in Python and SQL; experience with PySpark or Spark is strongly preferred.
  • Experience with Azure data services, including Azure Data Factory, Azure Synapse Analytics, Azure Data Lake Storage, and Azure SQL.
  • Familiarity with Azure AI Search, Cosmos DB, or similar services used to support AI retrieval and storage patterns.
  • Experience building and managing ETL/ELT pipelines with structured, semi-structured, and unstructured data sources.
  • Knowledge of data modeling, schema design, and indexing strategies for both analytical and AI workloads.
  • Familiarity with infrastructure-as-code and CI/CD practices for data pipeline deployment (e.g., Terraform, Azure DevOps).
  • Knowledge of data governance principles, including data cataloging, lineage, access control, and privacy requirements.
  • Knowledge of security best practices for data solutions, including encryption at rest and in transit, role-based access control, and private networking.
  • Experience with Databricks, including Delta Lake and Unity Catalog, is a plus.
  • Prior experience in professional services, engineering, or construction environments is a plus.
  • Azure or Databricks certifications (e.g., Azure Data Engineer Associate, Azure Solutions Architect Expert, Databricks Data Engineer Professional) are a plus. 
We are GEI. 
 
Some of the world’s most pressing problems – from climate change to sustainable development, to critical infrastructure and the future of our energy supply – need our brightest and diverse minds working together to create safer, more resilient communities for tomorrow.  
 
We are technical experts, collaborators, and entrepreneurs who draw from diverse backgrounds to solve our clients’ most complex challenges.  
 
With several offices across North America, we offer a range of engineering, science, and technical consulting services. Our range of expertise, project types, and culture make us the choice for top talent in the AEC industry. See all our office locations here.
 
Employee-owned. Employee-focused.  
 
As an employee-owned company, our employees support our flat leadership structure, have a say in how our business operates and benefit from our financial success. We are committed to employee growth with career development opportunities, competitive total rewards, a well-being program, flexible work arrangements and more.  Our company culture is driven by our 4 Cs – we are Client-Centered, Curious, Collaborative, and Community Minded – which support our focus on sustainability, safety, diversity, equity and inclusion. Get to know us better by visiting GEI’s career site here.
 
GEI’s Total Rewards Package Includes 
  • Market-Competitive Compensation, including Eligibility for an Annual Performance Bonus
  • Pay Range For This Position: $90,000.00 – $150,000.00/year
  • Comprehensive Benefits Program, including Medical, Dental, Vision, Life, Disability and More
  • Well-Being Program and Paid Parental Leave
  • Commuter Benefits
  • Hybrid Work Schedules and Cell Phone Stipends
  • GEI University (GEIU) with Continuing Education Assistance and Tuition Reimbursement
  • Connecting Conversation Program with a Focus on Professional Development and Opportunities for Advancement
  • Support and Financial Rewards for Publication Awards, Professional Dues, and Professional Licenses
  • Paid Holidays and Generous Paid Time Off Program
  • Rewards and Recognition
  • GEI-Funded Profit Sharing and 401(k)
  • Opportunity to be an Owner and Shareholder (Learn more here)
  • A Vibrant Culture that is Focused on Partnership, Sustainability, Giving Back to Our Communities and Diversity, Equity and Inclusion
  • And More…
PHYSICAL REQUIREMENTS 
WORK ENVIRONMENT 
  
  
  
Functional Demands:    
 
 
 
 
Sedentary
Light
 
Medium
Other
 
 
Activity Level Throughout Workday (check one per row) 
Physical Activity Requirements
Occasional
(0-35% of day)
Frequent
(33-66% of day)
Continuous
(67-100% of day)
Not Applicable
Sitting
 
 
 
Standing
 
 
 
Walking
 
 
 
Climbing
 
 
 

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