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Databricks Data Engineer Jobs in Ontario (NOW HIRING)

Morson Talent

25-199 - Data Engineer

Oshawa, ON · Remote

$92 - $100/hr

CHQ (Hybrid - 3 days remote), 1908 Colonel Sam Drive, Oshawa Job Overview As an Azure and Databricks Data Engineer, you will be responsible for designing, building and supporting the data driven ...

Infotek Consulting Inc.

Data Engineer

Toronto, ON · Hybrid

CA$80 - CA$90/hr

Data Engineer Location: Toronto, ON Hybrid: 1 day onsite per week Contract: May 2026 - May 2027 ... This opportunity is ideal for candidates with strong Databricks, Snowflake, SQL, and Python ...

ShyftLabs

Data Engineer

Toronto, ON · Hybrid

CA$100K - CA$140K/yr

Design, implement, and optimize big data pipelines in Databricks. * Develop scalable ETL workflows ... Collaborate with data scientists, analysts, and engineers to enable advanced AI/ML workflows.

Insight Global

Insight Global is seeking two qualified Data Engineers for one of Canada's leading insurance ... The team is migrating from SAS to Databricks, and these individuals will be working alongside ...

Virtusa

Data Engineer

Toronto, ON · On-site

Data Engineer and Generative AI/ML Specialist Skill Cluster/Practice: Data Engineering / Emerging ... like Databricks, GCP, and AWS. Generative AI and Machine Learning: Lead the development and ...

Virtusa

Data Engineer

Toronto, ON · On-site

Data Engineer and Generative AI/ML Specialist Skill Cluster/Practice: Data Engineering / Emerging ... like Databricks, GCP, and AWS. Generative AI and Machine Learning: Lead the development and ...

Konrad

Data Engineer

Toronto, ON · Hybrid

CA$90K - CA$125K/yr

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 ...

Synechron

Data Engineer

Mississauga, ON · Hybrid

CA$110K - CA$125K/yr

Our challenge We are seeking a skilled Data Engineer with expertise in Databricks, Python, Pyspark, SQL, and Release Management to join our dynamic team. The ideal candidate will have a strong ...

KUBRA

Data Engineer

Mississauga, ON

CA$100K - CA$130K/yr

Build, troubleshoot, and optimize data pipelines using PySpark , Databricks , SQL , and cloud data ... Collaborate with Product, BI, Engineering, and Data Analytics teams to support reliable reporting ...

Zurich Insurance Group

Data Engineer

Toronto, ON

What you will do Develop and maintain scalable data pipelines using Databricks on Microsoft Azure ... Bachelor's degree in Computer Science, Engineering, Information Systems, or a related discipline OR ...

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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 Jun 9, 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 job?

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 typical day look like for a Databricks Data Engineer?

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 in the Databricks Data Engineer position, and why are they important?

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.

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 June 2026, with employment types broken down into 1% As Needed, 94% Full Time, 3% Part Time, 1% Temporary, and 1% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $119,535 per year, or $57.5 per hour.

Data Engineer - Spark / Databricks / Snowflake (BFSI) - DESDSAS

NavitasPartners

Windsor, ON

CA$30/hr

Full-time

Posted 5 days ago

Job description

Job Title: Data Engineer – Spark, Databricks & Snowflake (BFSI)

Position Overview:
We are seeking a Data Engineer with strong expertise in modern data platforms to build scalable data pipelines and cloud-based data solutions for banking, financial services, and insurance clients.

Key Responsibilities:

  • Design and develop enterprise-grade data pipelines using Spark and Databricks.
  • Build and optimize Snowflake data warehouse solutions.
  • Develop ETL/ELT frameworks for structured and unstructured data.
  • Implement data quality, governance, and security controls.
  • Integrate data from core banking, payments, lending, risk, and regulatory systems.
  • Optimize data processing performance and cloud costs.

Required Skills:

  • Apache Spark (PySpark/Scala)
  • Databricks
  • Snowflake
  • SQL, Python
  • Azure/AWS/GCP Data Services
  • Data Modeling
  • ETL/ELT Development
  • CI/CD and DevOps Practices
  • Data Lake Architecture

Required Qualifications:

  • Bachelor's degree in Computer Science, Engineering, or related field.
  • 5+ years of Data Engineering experience.
  • Experience implementing enterprise data platforms.

Mandatory Industry Experience:

  • Must have prior BFSI experience supporting banking, insurance, capital markets, lending, payments, wealth management, or risk management functions.

For more details reach at resumes@navitassols.com