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Contract Databricks Data Engineer Jobs in Toronto, ON

AI Engineer

Markham, ON

CA$110K - CA$150K/yr

The AI Engineer is responsible for the development of AI solutions, typically leveraging pretrained ... Knowledge of big data technologies such as Spark and Databricks; familiarity with TensorFlow and ...

AI Engineer

Concord, ON

CA$110K - CA$150K/yr

The AI Engineer is responsible for the development of AI solutions, typically leveraging pretrained ... Knowledge of big data technologies such as Spark and Databricks; familiarity with TensorFlow and ...

Data Engineer

Toronto, ON · Hybrid

CA$119K - CA$161K/yr

What your team does: Our growing data engineering team is driven to deliver an incredible ... Data warehousing experience working with Databricks or similar * Experience building data pipelines ...

New

Demonstrate Databricks capabilities across Data Engineering, Data Science, ML, and Generative AI use cases, including Mosaic AI, MLflow, and Feature Store. * Identify and mitigate technical risks ...

New

Demonstrate Databricks capabilities across Data Engineering, Data Science, ML, and Generative AI use cases, including Mosaic AI, MLflow, and Feature Store. * Identify and mitigate technical risks ...

New

Lead, Data Engineer

Mississauga, ON · On-site +1

CA$122K - CA$162K/yr

Summary The Lead Data Engineer is a senior individual contributor within McKesson's Decision ... Databricks, Snowflake, Azure Data Factory * Confluent Kafka / Azure Event Hub * PySpark and ...

Lead, Data Engineer

Mississauga, ON · On-site +1

CA$122K - CA$162K/yr

Summary The Lead Data Engineer is a senior individual contributor within McKesson's Decision ... Databricks, Snowflake, Azure Data Factory * Confluent Kafka / Azure Event Hub * PySpark and ...

Our engineers and designers harness cloud-native tools, autonomous agents, data-driven insights ... Lead Design and implement scalable data architectures on Databricks, including lakehouse solutions ...

As a Data Engineer, you will help in advancing our data maturity, ensuring that our data ... Implement modern data and analytics practices using tools such as Databricks, Snowflake, Salesforce ...

The Senior / Lead Data Engineer will bepart of McKesson Decision Intelligence team, and ... Specific experience with Snowflake, Databricks, Azure data factory,PySpark,Analytical SQL,Splunk ...

The Senior / Lead Data Engineer will bepart of McKesson Decision Intelligence team, and ... Specific experience with Snowflake, Databricks, Azure data factory,PySpark,Analytical SQL,Splunk ...

Showing results 41-60

Contract Databricks Data Engineer information

What are common challenges faced by contract Databricks data engineers when integrating data from multiple sources?

As a contract Databricks Data Engineer, you'll often encounter challenges related to integrating diverse data sources, such as on-premises databases, cloud storage, and APIs. These challenges may include handling inconsistent data formats, managing data quality, and ensuring secure data transfers. Additionally, adapting to clients' unique data architectures and optimizing ETL pipelines for performance in a cloud environment are common tasks. Collaboration with data scientists, analysts, and other engineers is critical to ensure data is both accessible and reliable for downstream analytics and machine learning.

What is a contract Databricks data engineer?

Contract Databricks Data Engineers are professionals hired on a temporary or project basis to design, build, and maintain data infrastructure using Databricks, a unified analytics platform. They typically work with big data tools, cloud environments, and programming languages like Python or Scala to process and analyze large datasets. Their responsibilities often include developing data pipelines, optimizing data workflows, and collaborating with data scientists and analysts to support business objectives. Because they are contractors, their roles can vary by project and organization, offering flexibility and specialized expertise.

What skills and qualifications are needed to thrive as a contract Databricks data engineer?

To excel as a Contract Databricks Data Engineer, you need strong experience in data engineering, SQL, Spark, and cloud platforms, often supported by a degree in computer science or a related field. Familiarity with Databricks, Apache Spark, Python or Scala, and cloud services like AWS or Azure is typically required, along with relevant certifications. Excellent problem-solving, communication, and collaboration skills help you work effectively in dynamic, project-based environments. These competencies ensure the efficient design and implementation of scalable data solutions, driving business insights and project success.
What are the most commonly searched types of Databricks Data Engineer jobs in Toronto, ON? The most popular types of Databricks Data Engineer jobs in Toronto, ON are:
What are popular job titles related to Contract Databricks Data Engineer jobs in Toronto, ON? For Contract Databricks Data Engineer jobs in Toronto, ON, the most frequently searched job titles are:
What job categories do people searching Contract Databricks Data Engineer jobs in Toronto, ON look for? The top searched job categories for Contract Databricks Data Engineer jobs in Toronto, ON are:
Infographic showing various Contract Databricks Data Engineer job openings in Toronto, ON as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

CA$110K - CA$150K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 15 days ago


GEI Consultants rating

7.6

Company rating: 7.6 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

272nd of 441 rated engineering


Job description

Description

Your role at GEI. 
 
The AI Engineer is responsible for the development of AI solutions, typically leveraging pretrained models and copilots, to support GEI’s priority digital and AI initiatives. This role focuses on building, deploying, and integrating AI capabilities into business workflows in a secure, scalable, and maintainable manner.
 
The AI Engineer plays a hands-on role in active AI Solutions Factory use cases by implementing AI-based solutions, integrating enterprise data sources, and supporting solution reliability and performance. This role works closely with solution architects and platform teams to ensure AI solutions are production-ready, aligned with GEI standards, and capable of scaling across use cases.
 
Essential Responsibilities & Duties 
  • Build and deploy AI-based solutions using pretrained models and Copilot technologies.
  • Design and implement prompt flows, plugins, and orchestrations using Copilot Studio and Azure Functions.
  • Integrate AI capabilities into business workflows and applications.
  • Integrate enterprise data sources securely, including APIs, Graph connectors, retrieval-augmented generation (RAG), and event-driven patterns.
  • Maintain and optimize Power BI dashboards that support AI-enabled workflows and insights.
  • Instrument AI solutions for telemetry, reliability, performance monitoring, and cost control.
  • Provide technical support and troubleshooting for deployed AI solutions.
  • Identify implementation risks and support mitigation strategies in collaboration with architecture and platform teams. 
Minimum Qualifications  
  • 4+ years of software engineering experience, with at least 1 year building Generative AI applications.
  • Experience with Generative AI Large Language Models (LLMs), including solution development and fine-tuning for domain-specific tasks.
  • Proficiency in at least one programming language such as Python, PySpark, R, or SQL.
  • Experience delivering Generative AI (LLM) solutions, preferably on Azure.
  • Familiarity with Azure AI library APIs, including GPT, Codex, and DALL·E, and other frameworks (e.g., Databricks Mosaic) for integrating Generative AI into business workflows.
  • Knowledge of big data technologies such as Spark and Databricks; familiarity with TensorFlow and PyTorch is a plus.
  • Knowledge of Azure cloud services, including Azure AI Platform, Azure Data Factory, Azure Synapse, and Azure Cognitive Services, and their integration with ML workflows.
  • Familiarity with AI ethics, bias mitigation, explainability techniques, and responsible AI practices.
  • Knowledge of security best practices for AI solutions, including data encryption, access control, and endpoint protection.
  • Prior experience implementing AI/ML solutions in professional services, engineering, or construction environments is a plus.
  • Azure or Databricks certifications (e.g., Azure AI Engineer Associate, Azure Solutions Architect Expert, Databricks ML Professional, 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: CA$110,000.00– CA$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
 
 
 
Lifting (floor to waist level) (in pounds)
 
 
 
Lifting (waist level and above) (in pounds)
 
 
 
Carrying objects
 
 
 
Push/pull
 
 
 
Twisting
 
 
 
Bending
 
 
 
Reaching forward
 
 
 
Reaching overhead
 
 
 
Squat/kneel/crawl
 
 
 
Wrist position deviation
 
 
 
Pinching/fine motor skills
 
 
 
Keyboard use/repetitive motion
 
 
 
Taste or smell (taste=never)
 
 
 
Talk or hear
 
 
 
Accurate 20/40 
Very Accurate 20/20 
Not Applicable
Near Vision
 
Far Vision
 

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