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Freelance Databricks Data Engineer Jobs in Toronto, ON

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 ...

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

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 ...

GEI Consultants

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 ...

Clio

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 ...

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 ...

Dentsu Aegis Network

Data Engineer

Toronto, ON · On-site

CA$70K - CA$80K/yr

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 ...

Scotiabank

Senior Data Engineer

Toronto, ON · On-site

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

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 ...

JLL

Data Engineer 2

Toronto, ON · On-site

... data projects Strong Databricks experience Strong database/backend testing with the ability to ... in DevOps model, including installing, configuring, and integrating automation scripts on ...

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 ...

McKesson

Senior / Lead Data Engineer

Mississauga, ON · On-site +1

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 ...

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All JobsDatabricks Data Engineer JobsFreelance Databricks Data Engineer JobsFreelance Databricks Data Engineer Jobs in Toronto, ON

Freelance Databricks Data Engineer information

What is a freelance Databricks data engineer?

Freelance Databricks Data Engineers are independent professionals who specialize in designing, building, and maintaining data pipelines and analytics solutions using the Databricks platform. They work on a contract basis, often helping organizations with data integration, ETL processes, and leveraging Apache Spark for big data analytics. These engineers typically have expertise in cloud platforms, SQL, Python, and other data engineering tools, and they offer flexible support based on project needs.

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

To thrive as a Freelance Databricks Data Engineer, you need strong skills in data engineering, SQL, Python or Scala, and a solid understanding of big data concepts, often supported by a degree in computer science or related fields. Proficiency with Databricks, Apache Spark, cloud platforms (such as AWS or Azure), and relevant certifications (like Databricks Certified Data Engineer) is highly valued. Excellent problem-solving, communication, and self-management skills are essential for collaborating remotely with clients and handling diverse projects. These skills enable efficient data pipeline development, scalable analytics, and successful client delivery in dynamic freelance environments.

How do freelance Databricks data engineers typically collaborate with client teams during projects?

Freelance Databricks Data Engineers often work remotely and interact with client teams through regular virtual meetings, project management platforms, and collaboration tools like Slack or Microsoft Teams. Clear communication is crucial, as you'll coordinate closely with data scientists, analysts, and IT stakeholders to understand requirements, deliver solutions, and troubleshoot issues. Establishing a structured workflow and providing frequent progress updates help ensure alignment and project success. Flexibility and proactive problem-solving are especially important in adapting to each client's unique data infrastructure and business goals.

What is the difference between Freelance Databricks Data Engineer vs Freelance Data Engineer?

AspectFreelance Databricks Data Engineer

Required SkillsProficiency in Databricks, Spark, Python, SQL, cloud platforms
Work EnvironmentRemote, project-based, client-specific
CertificationsDatabricks certifications, cloud platform credentials
Industry UsageData analytics, big data projects, AI/ML integrations

Freelance Databricks Data Engineers specialize in building and maintaining data pipelines using Databricks and Spark, often working on big data projects in cloud environments. Freelance Data Engineers may have broader skills across various tools and platforms but might not focus specifically on Databricks. Both roles are remote, project-based, and require similar certifications, but the Databricks-specific expertise makes the Freelance Databricks Data Engineer more specialized in Databricks ecosystems.

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 Freelance Databricks Data Engineer jobs in Toronto, ON?

For Freelance Databricks Data Engineer jobs in Toronto, ON, the most frequently searched job titles are:

What job categories do people searching Freelance Databricks Data Engineer jobs in Toronto, ON look for?

The top searched job categories for Freelance Databricks Data Engineer jobs in Toronto, ON are:

Freelance Databricks Data Engineer jobs near you
Infographic showing various Freelance Databricks Data Engineer job openings in Toronto, ON as of August 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 50% In-person, and 50% Remote job distribution.

Lead Data Engineer

Nasdaq

Toronto, ON • Hybrid

CA$106K - CA$148K/yr

Full-time

Re-posted 12 days ago

Job description

As a Lead Data Engineer reporting to the Senior Director of Data Engineering, you'll play a critical role in designing, building, and scaling the data infrastructure that powers one of the world's largest data marketplaces - serving hundreds of thousands of professionals across finance, technology, and beyond.
You'll thrive in this position if you're analytical, detail-oriented, and passionate about data quality and engineering excellence in a fast-paced, high-impact environment.
Key Responsibilities
  • Design, implement, and maintain components of our data platform, with a strong focus on data onboarding and automation.
  • Build and optimize data ingestion pipelines that clean, transform, and load large volumes of structured and unstructured data.
  • Develop automated data processing, transformation, and quality assurance workflows to ensure completeness, accuracy, and reliability.
  • Write and manage distributed data pipelines supporting both real-time and batch processing across cloud environments.
  • Champion a collaborative code review culture that promotes maintainability, best practices, and continuous improvement.
Required Qualifications
  • Bachelor's degree in Computer Science, Engineering, or equivalent practical experience.
  • 10+ years of professional experience in software or data engineering.
  • Proficiency in Python (required), with working knowledge of SQL and Spark/PySpark.
  • Hands-on experience with cloud platforms and data tools, including distributed data pipeline development and orchestration.
  • Strong written and verbal communication skills in English, with the ability to document clearly and concisely.
Preferred Qualifications
  • Experience building and integrating AI tools into data engineering workflows.
  • 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 will be located in Toronto, Canada, and offers the opportunity for a hybrid work environment at least 3 days a week in-office, subject to change, providing flexibility and accessibility for qualified candidates.

Come as You Are

Nasdaq is an equal opportunity employer. We welcome applications from candidates of all backgrounds and identities.

We are committed to fostering an inclusive workplace where diverse perspectives, experiences, and identities are valued and celebrated.

We ensure that individuals with disabilities are provided with reasonable accommodation throughout the hiring process.

What We Offer

We're proud to offer a competitive rewards package that is meaningful, recognizes the unique needs of our employees and their families and incentivizes employees for their contribution to Nasdaq's overall success.

The base pay range for this role is $106,000 - $148,000. In addition to base salary, Nasdaq provides a generous annual bonus/commission (short-term incentive), and equity (long-term incentive), comprehensive benefits, and opportunity for growth. Exact compensation may vary based on several job-related factors that are unique to each candidate, including but not limited to: skill set, experience, education/training, business needs and market demands.

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