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Databricks Data Engineer Jobs in Ontario (NOW HIRING)

Morson Talent

25-108 Senior Data Engineer

Pickering, ON · Remote

$70 - $90/hr

Senior Data Engineer Resume Due Date: Wednesday, June 25, 2025 (5:00PM EST) Number of Vacancies: 2 ... Databricks, Collibra, and Power Bl. Work within the agile SCRUM work management framework in ...

GEI Consultants

AI Engineer

Markham, ON

CA$110K - CA$150K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

GEI Consultants

AI Engineer

Kitchener, ON

CA$110K - CA$150K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

GEI Consultants

AI Engineer

Concord, ON

CA$110K - CA$150K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

GEI Consultants

AI Engineer

Guelph, ON

CA$110K - CA$150K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

Clio

Data Engineer

Toronto, ON · Hybrid

CA$119K - CA$161K/yr

  • Medical

  • Dental

  • Vision

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 ...

McKesson

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 ...

McKesson

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 ...

Bridgenext

Senior Data Engineer

Toronto, ON · Hybrid

CA$125K - CA$140K/yr

Build and optimize batch and near-real-time data pipelines in Azure using Azure Data Factory, Azure Databricks (PySpark), Azure Data Lake, and Azure SQL * Engineer curated, analytics-ready data ...

New

Dentsu Aegis Network

Data Engineer

Toronto, ON

CA$70K - CA$80K/yr

  • Medical

  • Dental

  • PTO

We'relooking for a Data Engineer with3-5years of hands-on experience to join our team.You'llown the ... Exposure to Databricks or otherlakehouseplatforms for large-scale data processing. * Prior ...

Manulife

Lead Data Engineer (Director Level)

Waterloo, ON · Hybrid

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Data Engineering Lead is a hands-on technical expert who builds scalable data platforms, data ... Experience with cloud data technologies-especially Azure, including Azure Databricks-and Data as a ...

Manulife

Lead Data Engineer (Director Level)

Toronto, ON · Hybrid

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Data Engineering Lead is a hands-on technical expert who builds scalable data platforms, data ... Experience with cloud data technologies-especially Azure, including Azure Databricks-and Data as a ...

Architech

Part Time - Data Architect

Toronto, ON

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 ...

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Showing results 41-60

All JobsDatabricks Data Engineer JobsDatabricks Data Engineer Jobs in Ontario

Databricks Data Engineer information

See Ontario salary details

$25.5K

$119.5K

$185K

How much do databricks data engineer jobs pay per year?

As of Aug 18, 2026, the average yearly pay for databricks data engineer in Ontario is $119,535.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,500.00 and $148,000.00 per year, depending on experience, location, and employer.

What is a Databricks data engineer?

A Databricks Data Engineer is responsible for designing, building, and maintaining scalable data pipelines on the Databricks platform. They work with Apache Spark, Delta Lake, and cloud services to process large datasets efficiently. Their role involves data ingestion, transformation, optimization, and ensuring data quality for analytics and machine learning. Additionally, they collaborate with data scientists, analysts, and business teams to deliver reliable data solutions.

What does a Databricks data engineer do?

A typical day for a Databricks Data Engineer involves developing and maintaining scalable data pipelines, optimizing big data workflows using Spark, and collaborating with data scientists, analysts, and other engineers. You will regularly work within cloud environments to manage and process large datasets, conduct troubleshooting, and ensure data reliability and performance. Daily tasks may also include writing code, participating in team meetings, and implementing best practices for data security and governance. This role is highly collaborative, requiring frequent communication to align on project goals and address any technical challenges. The dynamic, project-based structure helps expand your skills and offers growth opportunities into senior engineering or data architecture roles.

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

To thrive as a Databricks Data Engineer, you need strong expertise in data engineering concepts, big data processing, and programming languages such as Python, Scala, or SQL, often supported by a degree in computer science or a related field. Proficiency in Databricks, Apache Spark, cloud platforms (like AWS, Azure, or GCP), and relevant certifications such as Databricks Certified Data Engineer are highly valued. Effective problem-solving, collaboration, and clear communication skills help engineers work efficiently within cross-functional teams. These skills are essential for designing scalable data pipelines, ensuring data quality, and delivering actionable analytics in dynamic business environments.

How much does a Databricks data engineer make?

A Databricks Data Engineer typically earns between $90,000 and $150,000 annually, depending on experience, location, and certifications. Senior roles or those with advanced skills in Spark, cloud platforms, and data pipeline development can earn higher salaries.

Is a Databricks Data Engineer in demand?

Databricks Data Engineers are in high demand due to the increasing adoption of cloud-based data platforms and big data processing. Skills in Apache Spark, cloud environments, and data pipeline development are highly sought after, leading to strong job growth in this field.

What are the most commonly searched types of Databricks Data Engineer jobs in Ontario?

The most popular types of Databricks Data Engineer jobs in Ontario are:

What are popular job titles related to Databricks Data Engineer jobs in Ontario?

For Databricks Data Engineer jobs in Ontario, the most frequently searched job titles are:

What job categories do people searching Databricks Data Engineer jobs in Ontario look for?

The top searched job categories for Databricks Data Engineer jobs in Ontario are:

Databricks Data Engineer jobs near you
Infographic showing various Databricks Data Engineer job openings in Ontario as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $119,535 per year, or $57.5 per hour.

Team Lead, Data Engineering - Databricks

The Citco Group Limited

Toronto, ON • On-site

CA$135K - CA$175K/yr

Full-time

Re-posted 8 days ago

Job description

About Citco: 

Since the 1940s, Citco has provided specialist financial services to alternative investment funds, investors, multinationals, and private clients worldwide. Our data engineering initiatives represent one of our most critical technical focus areas, driving innovation across our global operations. 

About the Role: 

As a Team Lead, you willlead a technical teamof data engineers, ensuring best practices in performance, security, and scalability while working on Citco's enterprisewide Centralized Data Platform (CDP) built on Databricks.    

This role requires adeep, hands-on understanding of Databricksinternals and a track record ofdelivering large-scale data platformsin a cloud environment. 

You'll be part of a team driving technical excellence and innovation within Citco's data engineering practice. 

Required Qualifications: 

  • 8+ years of experience in data engineering 
  • 3+ years of hands-on experience with Databricks platform 
  • Proven experience leading a team  
  • Strong expertise in Python and Spark programming 
  • Demonstrable experience in using AI in development 
  • Proven experience with AWS or other similar cloud services 
  • Deep understanding of data modeling and SQL 
  • Experience with Delta Lake and Lakehouse architecture 
  • Strong knowledge of ETL/ELT principles and patterns 
  • Experience with version control systems (Git) 
  • Demonstrated ability to optimize data pipelines 
  • Strong problem-solving and analytical skills 
  • Excellent communication and collaboration abilities 

Nice to Have: 

  • Financial services industry experience 
  • Experience with multiple cloud providers 
  • Knowledge of AI/ML implementation patterns 
  • API development experience 
  • Experience with real-time data processing 
  • Data governance framework experience 

What Sets You Apart: 

  • Active interest in emerging technologies and industry trends 
  • Experience implementing complex data solutions 
  • Track record of continuous learning and skill development 
  • Strong technical documentation abilities 
  • Experience using AI tools to enhance productivity 
  • Ability to mentor junior team members 

Technical Environment: 

  • Primary Platform: Databricks 
  • Cloud Platform: AWS (S3, Glue, Lambda) 
  • Languages: Python, SQL 
  • Tools: Delta Lake, Unity Catalog, Git 
  • Additional: Real-time processing, API integrations 

Salary Range: CAD $135,000 - CAD $175,000

  • This position is not for an existing vacancy; we are building a candidate pool for future opportunities.

Our Benefits: 

Your well-being is of paramount importance to us, and central to our success. We provide a range of benefits, training and education support, and flexible working arrangements to help you achieve success in your career while balancing personal needs. Ask us about specific benefits in your location.  

We embrace diversity, prioritizing the hiring of people from diverse backgrounds. Our inclusive culture is a source of pride and strength, fostering innovation and mutual respect.  

itco welcomes and encourages applications from people with disabilities. Accommodation is available upon request for candidates taking part in all aspects of the selection.

#CITCTM

Your Role:

  • You will lead and mentor a team of data engineers, conducting code reviews, design reviews, and knowledge-sharing sessions across multiple locations 
  • Drive the Agile/Scrum SDLC process and collaborate with team members 
  • Design and develop Databricks solutions leveraging Lakehouse architecture for enterprise data processing and analytics 
  • Develop and optimize ETL/ELT pipelines  
  • Create and manage structured streaming pipelines for real-time data processing 
  • Configure and optimize Databricks clusters and Spark jobs for optimal performance 
  • Utilize Delta Live Tables for data ingestion and transformations 
  • Apply Unity Catalog features and IAM best practices for security governance and access control 
  • Support infrastructure and resource management using Terraform 
  • Implement monitoring solutions for pipeline performance and data quality 
  • Contribute to code reviews and knowledge-sharing sessions 

Apply