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Databricks Data Engineer Jobs in Ontario (NOW HIRING)

AXIS Capital

Databricks Engineer

Dublin, ON · Hybrid

  • Medical

  • Retirement

  • PTO

The Data & Analytics organization empowers AXIS to make informed, datadriven decisions by delivering trusted, scalable, and wellgoverned data platforms. As a Databricks Engineer, you will work ...

Fitch Solutions

Principal Data Engineer

Toronto, ON

  • Retirement

... Snowflake, Databricks, and AWS. * Design and implement data solutions using PostgreSQL for ... Mentor and guide data engineers by promoting technical excellence, establishing coding standards ...

McKesson

Senior Data Specialist

Mississauga, ON · Remote

Key Responsibilities Azure Databricks & Data Engineering * Design, build, and optimize large-scale data pipelines using Azure Databricks, PySpark, and advanced SQL. * Develop and maintain batch and ...

Konrad

Senior Data Engineer

Toronto, ON · Hybrid

CA$120K - CA$145K/yr

  • Medical

  • Retirement

Your deep knowledge of data platforms such as Azure Fabric, Databricks, and Snowflake will be essential as you collaborate closely with data analysts, scientists, and other engineers to ensure ...

Scotiabank

Data Engineer

Toronto, ON · On-site

  • PTO

Databricks, Unity Catalog, Auto Loader * Experience with data engineering, programming, ETL and ELT processes for data extraction and processing * Experience working with structured, semi-structured ...

Konrad

Senior Data Engineer

Toronto, ON · Hybrid

CA$120K - CA$145K/yr

  • Medical

  • Retirement

Your deep knowledge of data platforms such as Azure Fabric, Databricks, and Snowflake will be essential as you collaborate closely with data analysts, scientists, and other engineers to ensure ...

Scotiabank

Data Engineer

Toronto, ON · On-site

  • PTO

Databricks, Unity Catalog, Auto Loader * Experience with data engineering, programming, ETL and ELT processes for data extraction and processing * Experience working with structured, semi-structured ...

McKesson

Senior Data Specialist

Mississauga, ON · Remote

Key Responsibilities Azure Databricks & Data Engineering * Design, build, and optimize large-scale data pipelines using Azure Databricks, PySpark, and advanced SQL. * Develop and maintain batch and ...

MCKESSON

Senior Data Specialist

Mississauga, ON · Remote

Key Responsibilities Azure Databricks & Data Engineering * Design, build, and optimize large-scale data pipelines using Azure Databricks, PySpark, and advanced SQL. * Develop and maintain batch and ...

Morson Talent

25-167 Data Engineer

Oshawa, ON · Hybrid

$75 - $95/hr

We are looking for strong hands on Data Engineering skillset focused heavily on Azure Data Factory and Databricks (use of PySpark and SparkSQL). Build and productionize modular and scalable data ELT ...

Td

Data Engineer I

Toronto, ON · On-site

CA$69K - CA$98K/yr

As a Data Engineer on this team, you are at the front of that chain. You will onboard new sources ... Independently design, build, and debug Databricks notebooks and ETL * pipelines that ingest and ...

ShyftLabs

Senior Data Engineer

Toronto, ON

  • Medical

  • Dental

  • Vision

The ideal candidate combines deep hands-on expertise with Databricks, Apache Spark, Python, SQL ... Mentor and coach Data Engineers while fostering technical excellence and continuous learning.

Adastra Corporation

Data Engineer

Thornhill, ON · On-site

The ideal candidate is a hands-on data engineering professional with strong expertise in ... Experience with Databricks and Lakehouse architectures * Experience with AWS, Azure, or Google ...

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Showing results 21-40

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.

Business Analyst (DataBricks/DataLake)

Jay Analytix

Toronto, ON • Hybrid

Contractor

Re-posted 6 days ago

Job description

Business Analyst - Databricks & Data Lake

Location: Toronto, ON (Hybrid - 3 days onsite per week)Experience: Minimum 8+ yearsEmployment Type: Full-Time / Contract (as applicable)

About the Role

We are seeking an experienced Business Analyst with strong hands-on exposure to Databricks and modern Data Lake / Lakehouse platforms to join our Toronto-based team. In this role, you will act as the bridge between business stakeholders and data engineering teams - gathering requirements, defining data mappings and transformation logic, and driving the delivery of large-scale data platform and migration initiatives. The ideal candidate combines deep business analysis fundamentals with practical knowledge of cloud data ecosystems.

Key Responsibilities
  • Elicit, document, and manage business and data requirements for data lake, lakehouse, and analytics initiatives, translating them into functional and technical specifications
  • Work closely with data engineers, architects, and platform teams to define source-to-target mappings, data transformation rules, and data quality requirements
  • Support the design and delivery of solutions on Databricks (Delta Lake, notebooks, workflows, Unity Catalog) and cloud data lake platforms (Azure Data Lake Storage, AWS S3, or GCP)
  • Analyze and profile source system data to assess quality, completeness, and fitness for migration or integration
  • Define and document data lineage, business glossaries, and metadata to support data governance initiatives
  • Develop and execute test plans, including UAT coordination, data validation, and reconciliation between legacy and target platforms
  • Create process flows, user stories, use cases, and acceptance criteria within Agile delivery frameworks
  • Facilitate workshops and requirement sessions with business users, product owners, and technical teams
  • Support prioritization and backlog management with product owners; track requirements through to delivery
  • Produce clear documentation and communicate findings, risks, and recommendations to both technical and non-technical stakeholders
Required Qualifications
  • 8+ years of experience as a Business Analyst, with significant time spent on data-focused projects (data platforms, data warehousing, migrations, analytics)
  • Hands-on experience with Databricks - working with notebooks, Delta Lake tables, and understanding of Lakehouse architecture concepts
  • Strong understanding of Data Lake concepts and cloud data platforms (Azure preferred; AWS or GCP also considered) - data ingestion, storage layers (raw/curated/consumption), and data pipelines
  • Proficiency in SQL for data profiling, analysis, and validation; ability to read/interpret PySpark or Python code an asset
  • Experience creating source-to-target mapping documents, data dictionaries, and transformation specifications
  • Solid grasp of data governance, data quality, and metadata management practices
  • Experience with Agile methodologies and tools (Jira, Confluence, Azure DevOps)
  • Strong analytical, problem-solving, and critical-thinking skills with high attention to detail
  • Excellent communication, facilitation, and stakeholder management skills across business and technical audiences
  • Bachelor's degree in Business, Computer Science, Information Systems, or a related field
Nice to Have
  • Experience in financial services, banking, or insurance data environments
  • Familiarity with data modeling concepts (dimensional modeling, medallion architecture)
  • Exposure to BI and analytics tools (Power BI, Tableau) and how they consume lakehouse data
  • Knowledge of ETL/ELT tools (Azure Data Factory, Informatica, dbt)
  • Understanding of data privacy and regulatory requirements (PIPEDA, GDPR) as they relate to enterprise data
  • Certifications such as CBAP, PMI-PBA, Azure Data Fundamentals (DP-900), or Databricks Lakehouse Fundamentals
Why Join Us
  • Contribute to high-visibility data modernization initiatives on a leading Lakehouse platform
  • Hybrid work model based in downtown Toronto
  • Collaborative environment working alongside data engineering, governance, and business teams
  • Competitive compensation and benefits package
Employment Type: CONTRACTOR

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