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Databricks Internship Jobs in Ontario (NOW HIRING)

Alquemy

Site Reliability Engineer

Toronto, ON · On-site

... Databricks and Microsoft Fabric Use SQL and Python or PySpark for data investigation ... op, internship or project environment Familiarity with Git, CI/CD, monitoring or incident ...

RSM

Senior Database Developer

Toronto, ON · On-site

$82/hr

Exposure to cloud data platforms (Snowflake, Databricks) * Familiarity with Microsoft full-stack ... The salary range (or starting rate for interns and associates) for this role represents numerous ...

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Databricks Internship information

What are the key skills and qualifications needed to thrive as a Databricks intern, and why are they important?

To thrive as a Databricks Intern, you typically need a solid foundation in computer science, data engineering, or a related field, along with strong programming skills in languages like Python, SQL, or Scala. Familiarity with cloud platforms (such as AWS, Azure, or GCP), big data frameworks (like Apache Spark), and data analytics tools is commonly required. Strong problem-solving abilities, communication skills, and a collaborative mindset help interns excel in dynamic, team-oriented environments. Mastering these skills enables effective contribution to real-world data projects, supporting innovation and business impact at Databricks.

What types of projects do Databricks interns typically work on, and how are they integrated into existing teams?

Databricks interns are usually assigned to real-world projects that align with the company's current priorities, such as developing new data analytics features, optimizing cloud infrastructure, or contributing to open-source initiatives like Apache Spark. Interns are integrated into agile engineering or data science teams, where they participate in daily stand-ups, code reviews, and collaborative problem-solving sessions. This structure ensures that interns gain hands-on experience, receive mentorship from experienced professionals, and have opportunities to present their work, making the internship both impactful and a strong learning experience.

What is a Databricks internship?

A Databricks internship is a temporary position offered to students or recent graduates to gain hands-on experience working with Databricks, a company specializing in data analytics and artificial intelligence. Interns typically work on real-world projects involving big data, cloud computing, and collaborative analytics using the Databricks Unified Analytics Platform. The internship provides opportunities to learn from industry experts, develop technical skills, and contribute to innovative solutions. Interns also gain exposure to Databricks' company culture and may have the opportunity to transition to a full-time role after completion.

What are popular job titles related to Databricks Internship jobs in Ontario?

For Databricks Internship jobs in Ontario, the most frequently searched job titles are:

What job categories do people searching Databricks Internship jobs in Ontario look for?

The top searched job categories for Databricks Internship jobs in Ontario are:

What cities in Ontario are hiring for Databricks Internship jobs?

Cities in Ontario with the most Databricks Internship job openings:

Databricks Internship jobs near you
Infographic showing various Databricks Internship job openings in Ontario as of August 2026, with employment types broken down into 10% Internship, 58% Full Time, 29% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Site Reliability Engineer

Alquemy

Toronto, ON • On-site

Full-time

Posted 23 days ago

Job description

Job Description Site Reliability Engineer Hybrid GTA 12+ months This is an opportunity for someone early in their career who has hands-on experience with Azure data technologies and wants to build deeper experience across data platforms, production support, monitoring and Microsoft Fabric. What you will do: Monitor and support live data pipelines and data platform components Troubleshoot failed jobs, incidents and data-related issues Support ETL/ELT processes using Azure Data Factory, Synapse Analytics, Databricks and Microsoft Fabric Use SQL and Python or PySpark for data investigation, transformation and pipeline support Improve monitoring, alerting, logging and operational reliability Automate recurring support tasks and manual processes Work with data engineers, analysts, data scientists and business stakeholders Complete root cause analysis and help prevent recurring incidents What we are looking for: Approximately one to two years of relevant experience in data engineering, data platform support, cloud operations or a related area Hands-on exposure to the Microsoft Azure data environment, particularly Azure Synapse, Azure Data Lake and data pipelines Solid SQL and Python fundamentals Understanding of databases, data lakes, ETL/ELT and pipeline monitoring Experience supporting or troubleshooting data solutions in a production, co-op, internship or project environment Familiarity with Git, CI/CD, monitoring or incident-management practices Strong communication, problem-solving skills and willingness to learn This role is best suited to someone who is technically curious, comfortable investigating issues and interested in growing toward data engineering, cloud operations or site reliability engineering. Apply today!.

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