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Trainee Databricks Data Engineer Jobs in Toronto, ON

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 · On-site

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)

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 ...

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 ...

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 ...

MPAC

Lead Data Engineer

Pickering, ON · On-site

Hands-on experience with enterprise cloud data engineering technologies and programming languages such as SQL, Python, Java, Groovy, Spring Boot, Spark, Microsoft Fabric, Databricks, Azure Data ...

New

hireVouch

Data Scientist/Data Engineer

Toronto, ON

Data Scientist (AI & Data Engineering) - External Data & Intelligent Insights Location Toronto, ON ... platforms like Databricks or Snowflake). * Architecture : Solid understanding of Medallion ...

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Trainee Databricks Data Engineer information

What is the difference between Trainee Databricks Data Engineer vs Junior Data Engineer?

AspectTrainee Databricks Data EngineerJunior Data Engineer
Required CredentialsBasic knowledge of Databricks, SQL, and data fundamentalsDegree in Computer Science or related field, some experience with data tools
Work EnvironmentTraining programs, mentorship, entry-level projects on Databricks platformEntry-level to mid-level data teams, real-world data projects
Employer & Industry UsageTech companies, data consulting firms, startups focusing on cloud data platformsVariety of industries including finance, healthcare, retail, with data teams

The Trainee Databricks Data Engineer is an entry-level role focused on learning Databricks and data engineering fundamentals, often within training programs. In contrast, a Junior Data Engineer typically has some hands-on experience and works on real data projects. Both roles are common in tech-driven industries, but the trainee position emphasizes skill development, while the junior role involves more independent work.

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The most popular types of Databricks Data Engineer jobs in Toronto, ON are:

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

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Trainee Databricks Data Engineer jobs near you
Infographic showing various Trainee Databricks Data Engineer job openings in Toronto, ON as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 19% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Data Engineer

Clio

Toronto, ON • Hybrid

CA$119K - CA$161K/yr

Full-time

Medical, Dental, Vision

Posted 9 days ago

Job description

Clio is the global leader in legal AI technology, empowering legal professionals and law firms of every size to work smarter, faster, and more securely.

We are transforming the legal experience for all by bettering the lives of legal professionals while increasing access to justice.

Summary:
What your team does:

Our growing data engineering team is driven to deliver an incredible experience to our customers. As a Data Engineer at Clio, you will build data pipelines from scratch, as well as make data sets accessible to our partner teams by writing great production code. We move quickly, work with new state of the art technologies, and are motivated by solving complex problems.

This role is available to candidates in Toronto, with the expectation of coming into our Toronto offices twice a week.

A day in the life might look like:

  • Implement data ingestion (real time and batch) using best practices in data modeling, ETL/ELT processes by leveraging AWS technologies and data tools

  • Design, build, and maintain data transformation pipelines consolidating various data sources (streaming or batch) into specific Data Lakes / Data Warehouses

  • Collaborate with engineers to help adopt best practices in data system creation, data integrity, test design, analysis, validation, and documentation

  • Develop prototype or "proof of concept" implementations of projects where the technical solution is unknown or unproven

What you may have:

  • Experience in software development as well as experience in data engineering

  • Experience with cloud infrastructure (AWS preferred, bonus for Terraform)

  • Proficiency in at least one major language (e.g. Python, Scala, Ruby) and SQL, the drive to write elegant and maintainable code, and desire to pick up new technologies

  • Experience with streaming and batch data tools: Spark, Kafka, Airflow

  • Data warehousing experience working with Databricks or similar

  • Experience building data pipelines and the infrastructure required to deploy data models and dashboards that allow data visualization

  • Exceptional collaboration and communication skills with the ability to derive clarity in ambiguous environments

  • A keen interest in improving your craft by using AI

This posting is for a net new role.

What you will find here:

Compensation is one of the main components of Clio's Total Rewards Program. We have developed a series of programs and processes to ensure we are creating fair and competitive pay practices that form the foundation of our human and high-performing culture.

Some highlights of our Total Rewards program include:

  • Competitive, equitable salary with top-tier health benefits, dental, and vision insurance

  • Hybrid work environment, with expectation for local Clions (Vancouver, Calgary, Toronto, Dublin, London, New York City and Sydney) to be in office min. twice per week.

  • Flexible time off policy, with an encouraged 20 days off per year.

  • $2000 annual counseling benefit

  • RRSP matching and RESP contribution

  • Clioversary recognition program with special acknowledgement at 3, 5, 7, and 10 years

The expected salary range for this role is $119,000 to $161,000 CAD. Initial placement within the range is informed by geographic region, experience, and skillset, with room to progress as impact and tenure grow. Final offer amounts will vary based on candidate profile.

Diversity, Inclusion, Belonging and Equity (DIBE) & Accessibility

Our team shows up as their authentic selves, and are united by our mission. We are dedicated todiversity, equity and inclusion. We pride ourselves in building and fostering an environment where our teams feel included, valued, and enabled to do the best work of their careers, wherever they choose to log in from. We believe that different perspectives, skills, backgrounds, and experiences result in higher-performing teams and better innovation. We are committed to equal employment and we encourage candidates from all backgrounds to apply.

Clio provides accessibility accommodations during the recruitment process. Should you require any accommodation, please let us know and we will work with you to meet your needs.

Learn more about our culture atclio.com/careers

We're a Human and High Performing AI company, meaning we use artificial intelligence to improve all of our operations. In recruitment, AI helps us streamline the process for greater efficiency. However, we've built our systems to ensure that a human always reviews AI-generated output, and we never make automated hiring decisions.

Disclaimer: We only communicate with candidates through official @clio.com email addresses.

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