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Intern Databricks Data Engineer Jobs in Toronto, ON

... Snowflake, Databricks, and AWS. * Design and implement data solutions using PostgreSQL for ... Mentor and guide data engineers by promoting technical excellence, establishing coding standards ...

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

Data Engineer I

Toronto, ON

CA$69K - CA$98K/yr

As a Data Engineer on this team, you are at the front of that chain. You will onboard new sources ... Independently design, build, and debug Databricks notebooks and ETL * pipelines that ingest and ...

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

Senior Data Engineer

Toronto, ON · Hybrid

CA$120K - CA$145K/yr

Your deep knowledge of data platforms such as Azure Fabric, Databricks, and Snowflake will be essential as you collaborate closely with data analysts, scientists, and other engineers to ensure ...

Remote Full-time Senior Data Engineer Are you an experienced Data Engineering professional with a ... Databricks: Delta Lake, Unity Catalog, Delta Live Tables (DLT), and Spark optimization. GCP:

Data Platforms Architect

Toronto, ON · Hybrid

CA$84K - CA$175K/yr

DP 700 (Fabric Data Engineer Associate) and/or AZ 305 (Azure Solutions Architect Expert), Databricks Data Engineer (Associate or Professional). • Familiarity enabling generative AI scenarios on ...

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 ...

You will work primarily on Spark based data processing running on Azure Databricks, developing ... This is an engineering heavy role for someone who enjoys writing clean, efficient code and ...

Adastra is seeking a Senior Data Engineer to design, build, and optimize scalable data pipelines ... Experience with Databricks and Lakehouse architectures * Experience with AWS, Azure, or Google ...

The ideal candidate is a hands-on data engineering professional with strong expertise in ... Experience with Databricks and Lakehouse architectures * Experience with AWS, Azure, or Google ...

Solutions Architect

Toronto, ON · On-site

$164.50 - $224/hr

Capture the technical win by consulting on big data architectures, data engineering pipelines, and data science/machine learning projects; prove out the Databricks technology for strategic customer ...

Showing results 21-40

Intern Databricks Data Engineer information

What is the difference between Intern Databricks Data Engineer vs Intern Data Analyst?

AspectIntern Databricks Data EngineerIntern Data Analyst
Required SkillsSQL, Python, Spark, Databricks platformExcel, SQL, data visualization tools
Work EnvironmentData engineering teams, cloud platformsBusiness intelligence teams, reporting environments
Industry UsageTech, finance, healthcareRetail, marketing, finance

Intern Databricks Data Engineers focus on building data pipelines and managing large-scale data workflows using Databricks and Spark, while Intern Data Analysts primarily analyze data and create reports. Both roles require SQL and basic programming skills, but Data Engineers need more technical expertise in data infrastructure, whereas Data Analysts focus on interpreting data for business insights.

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:
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What job categories do people searching Intern Databricks Data Engineer jobs in Toronto, ON look for? The top searched job categories for Intern Databricks Data Engineer jobs in Toronto, ON are:
Infographic showing various Intern Databricks Data Engineer job openings in Toronto, ON as of July 2026, with employment types broken down into 76% Full Time, 6% Temporary, and 18% Contract. Highlights an 85% In-person, and 15% Remote job distribution.

Intermediate Data Engineer ( SQL, Databricks/ Snowflakes, DBT, Airflow)

TEEMA Solutions Group

Toronto, ON • On-site

$80 - $100/hr

Other

Posted 21 days ago


Job description

Overview

DATA ENGINEER- Toronto ( 3 days downtown/Hybrid)

Our client is interviewing to onboard a Data Engineer to join their Data & Analytics team. We are looking for an Intermediate Data Engineer with proven track record working within the Financial sector. You’ll help build and optimize scalable data pipelines, support data governance, and enable advanced analytics across the organization. Be part of a high-impact team driving data innovation in the wealth tech space.

Responsibilities
  • Design, build, and maintain robust ETL/ELT data pipelines.
  • Collaborate with analysts and business teams to translate needs into technical solutions.
  • Recommend scalable data architectures using AWS, Snowflake, and modern data stack tools.
  • Ensure data quality, observability, and governance across systems.
  • Support migration projects to cloud-based platforms.
Qualifications
  • 4-6 years of data engineering experience.
  • Solid SQL and either Snowflake or Databricks, plus DBT and/or Airflow
  • Experience with CI/CD, data lineage, and monitoring tools.
  • Financial services experience (Nice to have)
Screening Questions
  1. 1-How proficient are you with programming languages and tools for data engineering tasks (e.g., SQL, Python, Airflow, Terraform)? how many years?
  2. 2- Can you describe your experience designing, building, and maintaining ETL/ELT pipelines? Which tools and technologies did you use?
  3. 3-Have you worked directly with analysts or business stakeholders to translate business needs into technical data solutions? Can you share an example?
  4. 4-What is your experience designing data architectures on AWS using services like Glue, S3, Lambda, and Redshift or Snowflake?
  5. 5-How do you ensure data quality, observability, and lineage in your pipelines? What tools or practices have you implemented?
  6. 6-Have you participated in or led a cloud data migration project? What was your role and what challenges did you face?
  7. 7- Have you worked with CI/CD pipelines for data deployments or infrastructure? What tools did you use and how did you manage rollouts?
  8. 8-Do you have experience working in financial services or other regulated industries? If so, what types of data and systems were involved?

Send your resume and reply to above screening questions to : sasha@talenttohire.com

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