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 ...
New
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 ...
New
... role (internships, co-ops, and academic projects count) * Exposure to or interest in capital ... Familiarity with core Azure data services (e.g., Azure Data Factory, Azure Databricks
... role (internships, co-ops, and academic projects count) * Exposure to or interest in capital ... Familiarity with core Azure data services (e.g., Azure Data Factory, Azure Databricks
Senior Data Scientist
Toronto, ON · On-site +1
Azure Data Factory, Azure Databricks, Azure ML. 2. Google Cloud Platform: Vertex AI, BigQuery ... internship experience. Notes This is not intended to be an exhaustive list of all duties and ...
Senior Data Scientist
Toronto, ON · On-site +1
Azure Data Factory, Azure Databricks, Azure ML. 2. Google Cloud Platform: Vertex AI, BigQuery ... internship experience. Notes This is not intended to be an exhaustive list of all duties and ...
Experience in Excel, Stata, Python, R, SQL, SAS, ArcGIS/ArcPy, or Cloud computing (Databricks/Spark ... internship, or work product) that includes your commentary on a quantitative analysis and/or ...
Experience in Excel, Stata, Python, R, SQL, SAS, ArcGIS/ArcPy, or Cloud computing (Databricks/Spark ... internship, or work product) that includes your commentary on a quantitative analysis and/or ...
Databricks Internship information
What is the highest paying summer internship?
The highest paying summer internships are typically in finance, technology, and consulting industries, with some offering compensation exceeding $10,000 for the season. For roles like a Databricks internship, pay varies based on location, experience, and skill level, but competitive internships often include stipends or hourly wages aligned with industry standards.
Does Databricks hire interns?
Yes, Databricks offers internship programs for students and recent graduates interested in data engineering, software development, and related fields. Internships typically involve working on real projects using tools like Apache Spark and require a strong technical background and relevant coursework. These programs are usually available during summer and sometimes throughout the year, providing valuable industry experience.
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.
How much do Databricks interns get paid?
Databricks interns typically receive a stipend or hourly pay that varies depending on location, experience, and the specific internship program. Intern salaries for tech companies generally range from $20 to $40 per hour, with some programs offering additional benefits or stipends for housing and transportation.
Is Databricks a high paying job?
A Databricks internship typically offers competitive compensation compared to other tech internships, with pay varying based on location, experience, and skills. Interns working with cloud platforms, data engineering, or machine learning tools may also receive additional benefits or stipends. Overall, it is considered a well-paying internship opportunity within the tech industry.
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.
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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!.