ZipRecruiter

Log In

1

Databricks Data Engineer Jobs in Ontario (NOW HIRING)

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 ...

ShyftLabs

Senior Data Engineer

Toronto, ON · On-site

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.

Capco

Data Engineer

Toronto, ON · On-site +1

Databricks * Power BI * Git * CI/CD * Cloud platforms (Azure, AWS, GCP) Ideal Candidate A hands-on Data Engineer with strong Python, Pandas, and NumPy expertise who can efficiently validate ...

Td

Data Engineer III

Toronto, ON · On-site

CA$96K - CA$136K/yr

We are hiring a Senior FinOps Data & Automation Engineer to build the data, automation, and ... Experience with data platforms such as Databricks, Snowflake, BigQuery, Azure Synapse, Microsoft ...

Nasdaq

Lead Data Engineer

Toronto, ON · Hybrid

CA$106K - CA$148K/yr

Data engineering certification (e.g., Databricks Certified Data Engineering Associate or Professional). * Prior experience in fintech, capital markets, or a regulated data environment. This position ...

Citi

Senior Data Engineer - Python

Mississauga, ON · On-site

CA$120K - CA$170K/yr

Experience with Big Data technologies such as PySpark, and exposure to platforms like Databricks or ... Collaborate with data scientists, analysts, software engineers, and business stakeholders to ...

Citi

Senior Data Engineer - Python

Mississauga, ON

CA$120K - CA$170K/yr

Experience with Big Data technologies such as PySpark, and exposure to platforms like Databricks or ... Collaborate with data scientists, analysts, software engineers, and business stakeholders to ...

GEI Consultants

AI Engineer

Guelph, ON · On-site

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 ...

GEI Consultants

AI Engineer

Markham, ON · On-site

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 ...

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

Kitchener, ON · On-site

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 ...

GEI Consultants

AI Engineer

Concord, ON · On-site

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 ...

JLL

Data Engineer 2

Toronto, ON · On-site

P2 - Data Engineer 2 About the role As a Data Engineer 2 , you will utilize AI, automation, and ... Hands-on experience with Azure, AWS, or GCP data services (Databricks, Azure Functions, Delta Lake ...

Canadian Tire Corporation

... Databricks, and data lakes • Experience with CI/CD pipelines in a cloud environment Join Canadian Tire Corporation to advance your career in data engineering and ML model management. #J-18808 ...

previous page

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 Sep 12, 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 September 2026, with employment types broken down into 2% Internship, 72% Full Time, and 26% Contract. Highlights an 84% In-person, 4% Hybrid, and 12% Remote job distribution, with an average salary of $119,535 per year, or $57.5 per hour.

Senior Data Engineer - Databrick

Woodbridge, ON • Hybrid

Hire DigITalent
See more jobs at Hire DigITalentexternal

Contractor

Posted 8 days ago

Job description

Role Title: Senior Data Engineer (Databricks Specialist & AWS)

Location: Hybrid - 3 days onsite in Woodbridge

Contract Duration: 6-Month Contract to start

Our client is accelerating its digital transformation, running a modern data platform built on AWS and actively moving through a major Databricks implementation (supported by an external vendor). The core objective is transforming data into actionable business products for marketing and promotions. The project team needs a seasoned Senior Data Engineer to help lead the charge, stabilize key deliverables, and guide our technical strategy. This is a critical engagement on a high-visibility, fast-paced project where both strong technical hands-on capability and sharp soft skills are essential.

Key Responsibilities

  • Solve foundational data engineering and Medallion architecture (Bronze/Silver/Gold) challenges on AWS Databricks, building a robust ingestion framework for diverse, high-volume datasets.
  • Apply practical data modeling principles to streamline data layer creation. Resolve internal debates around model structures and determine optimal ways to structure collection and transactional data for business use.
  • Standardize, productionize, and build automated, reusable ML Pipelines. Partner with Data Scientists (who come from non-software engineering backgrounds) to convert standalone models into scalable, production-grade assets.
  • Cut through complexity and prevent scope creep ("boiling the ocean"). Evaluate why specific data products are being built, establish clear MVP boundaries, and guide the team on what to tackle first, second, and third.
  • Provide guidance, architectural direction, and hands-on mentorship to internal team members, elevating overall data engineering standards.
  • Use exceptional communication skills and political acumen to navigate strong, diverse internal opinions, aligning business, technical, and consulting stakeholders toward cohesive technical decisions.

Required Skills & Qualifications

  • Proven track record running, building, or enterprise-scaling data platforms in AWS environments.
  • Deep expertise in the Databricks ecosystem running natively on AWS (PySpark, Delta Lake, MLflow, Delta Live Tables).
  • Practical understanding of dimensional modeling, Medallion architecture, and schema design for analytics. Ability to make pragmatic modeling decisions.
  • Demonstrated success creating productionized, reusable machine learning pipelines and assisting Data Scientists with code modularization, CI/CD, and pipeline orchestration.
  • Ability to look at data engineering through a product lens—evaluating business utility, setting realistic roadmaps, and delivering incremental value.
  • Proven capacity to manage conflicting viewpoints, build consensus among strong technical and business voices, and clearly articulate trade-offs.