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Contract Databricks Data Engineer Jobs in Montreal, QC

AppDirect

Senior Data Engineer

Montreal, QC

... contracts, and leaving patterns others can reuse. What You'll Do and How You'll Make an Impact ... Databricks: Hands-on Databricks experience (workspaces, jobs/workflows, Spark SQL/PySpark, Delta ...

Tecsys Inc.

Data Engineer (DevOps)

Montreal, QC · On-site +1

Responsibilities Platform & DevOps * Provision and evolve AWS and Databricks accounts and ... Data Platform & Pipelines * Design, build, and maintain Databricks jobs and pipelines - including ...

Caeus

Data Engineering Specialist

Montreal, QC

We are looking for a Senior Data Platform Engineer with strong hands-on coding skills and solid ... Experience with Microsoft cloud and data platforms such as Fabric, Azure, Databricks, and Purview.

Jay Analytix

AI Engineer - Banking Domain

Montreal, QC · On-site

Engagement Contract - 12 months, renewable Domain Banking & Financial Services Locations Toronto ... Experience with SQL and distributed data platforms (Spark, Databricks, or Snowflake). GOOD TO HAVE

Jay Analytix

AI Engineer - Banking Domain

Montreal, QC · On-site

Engagement Contract 12 months, renewable Domain Banking & Financial Services Locations Toronto, ON ... Experience with SQL and distributed data platforms (Spark, Databricks, or Snowflake). GOOD TO HAVE

Air Canada

Solution Architect Data and AI

Dorval, QC · On-site

Mentor solution architects, data engineers, and AI practitioners; elevate architectural maturity ... Advanced experience with ETL/ELT frameworks (Databricks, ADF, DBT and others). * Strong background ...

PSP Investments

Senior Applied AI Engineer

Montreal, QC · On-site +1

Collaborate with our Data Engineers to build the ML and AI-serving pipelines behind Floyd on Databricks - our primary platform for data engineering, data science and AI serving * Develop across the ...

Ubisoft

Technical Lead Data (TGQF)

Montreal, QC

Minimum of 8 years of experience in software development or data engineering. * Significant ... Knowledge of Databricks, Apache Spark (batch and streaming), Delta Lake, Elasticsearch/OpenSearch ...

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Contract Databricks Data Engineer information

What is a contract Databricks data engineer?

Contract Databricks Data Engineers are professionals hired on a temporary or project basis to design, build, and maintain data infrastructure using Databricks, a unified analytics platform. They typically work with big data tools, cloud environments, and programming languages like Python or Scala to process and analyze large datasets. Their responsibilities often include developing data pipelines, optimizing data workflows, and collaborating with data scientists and analysts to support business objectives. Because they are contractors, their roles can vary by project and organization, offering flexibility and specialized expertise.

What skills and qualifications are needed to thrive as a contract Databricks data engineer?

To excel as a Contract Databricks Data Engineer, you need strong experience in data engineering, SQL, Spark, and cloud platforms, often supported by a degree in computer science or a related field. Familiarity with Databricks, Apache Spark, Python or Scala, and cloud services like AWS or Azure is typically required, along with relevant certifications. Excellent problem-solving, communication, and collaboration skills help you work effectively in dynamic, project-based environments. These competencies ensure the efficient design and implementation of scalable data solutions, driving business insights and project success.

What are common challenges faced by contract Databricks data engineers when integrating data from multiple sources?

As a contract Databricks Data Engineer, you'll often encounter challenges related to integrating diverse data sources, such as on-premises databases, cloud storage, and APIs. These challenges may include handling inconsistent data formats, managing data quality, and ensuring secure data transfers. Additionally, adapting to clients' unique data architectures and optimizing ETL pipelines for performance in a cloud environment are common tasks. Collaboration with data scientists, analysts, and other engineers is critical to ensure data is both accessible and reliable for downstream analytics and machine learning.

How much does a Contract Databricks Data Engineer make?

A Contract Databricks Data Engineer typically earns between $70 and $150 per hour, depending on experience, location, and project scope. Contract roles often pay higher hourly rates compared to full-time positions and may require expertise in Spark, cloud platforms, and data pipeline development.

Is a Contract Databricks Data Engineer in demand?

Contract Databricks Data Engineers are in high demand due to the increasing adoption of cloud-based data platforms and the need for expertise in big data processing, Spark, and SQL. Organizations seek professionals with skills in data pipeline development, cloud environments, and tools like Apache Spark and Delta Lake, often offering competitive rates for contract roles. The demand is driven by ongoing digital transformation initiatives across industries.

What are the most commonly searched types of Databricks Data Engineer jobs in Montreal, QC?

The most popular types of Databricks Data Engineer jobs in Montreal, QC are:

What are popular job titles related to Contract Databricks Data Engineer jobs in Montreal, QC?

For Contract Databricks Data Engineer jobs in Montreal, QC, the most frequently searched job titles are:

What job categories do people searching Contract Databricks Data Engineer jobs in Montreal, QC look for?

The top searched job categories for Contract Databricks Data Engineer jobs in Montreal, QC are:

Contract Databricks Data Engineer jobs near you
Infographic showing various Contract Databricks Data Engineer job openings in Montreal, QC as of July 2026, with employment types broken down into 65% Full Time, and 35% Contract. Highlights an 94% In-person, and 6% Remote job distribution.

Databricks Data Engineering Advisor

Desjardins Group

Montreal, QC • Hybrid

Full-time

Medical, Retirement, PTO

Re-posted 13 days ago

Job description

Temporary position for 12 months.


The Cybersecurity Monitoring Ecosystem Department is currently looking for a data engineering and big data warehousing advisor. Our team is made up of experts at processing the large volumes of sensitive and confidential data required for cybersecurity. Your role consists in contributing to the implementation and maintenance of the security data lake, which is the authoritative source for every team in Desjardins's Information Security Division. More specifically, you will be required to:

  • Develop scripts and automation to ingest data into the consumption zone and to transform and valorize data for the consumption zone
  • Develop API call modules to support data governance and documentation activities
  • Develop automated modules to support data quality control activities and appropriate corrective measures.

What we offer*

  • Competitive salary and annual bonus
  • 4 weeks of flexible vacation starting in the first year
  • Defined benefit pension plan that provides predictable, stable income throughout retirement
  • Group insurance including telemedicine
  • Reimbursement of health and wellness expenses and telework equipment

* Benefits apply based on eligibility criteria.

#LI-Hybrid


What you bring to the table

  • Bachelor's degree in computer science or a related field
  • A minimum of four years of relevant experience with Azure tools: Azure Databricks, FunctionApp, LogicApp, SQL
  • Please note that other combinations of qualifications and relevant experience may be considered
  • Azure Databricks certification or demonstrated equivalent in ETL
  • Intermediate or advanced experience in one or more of the following languages: PySpark, Python, Java or C#
  • Intermediate or advanced experience in SQL
  • Knowledge of French is required
  • Knowledge of one of the following storage tools: Storage Account, SQL Server or Databricks
Action oriented, Business insight, Complexity, Customer Focus, Differences, Nimble learning


Equity, Diversity, Inclusion and Accessibility

At Desjardins, we believe in equity, diversity and inclusion. We're committed to welcoming, respecting and valuing people for who they are as individuals, learning from their differences, embracing their uniqueness, and providing a positive workplace for all. At Desjardins, we have zero tolerance for discrimination of any kind. We believe our teams should reflect the diversity of the members, clients and communities we serve.

If there's something we can do to help make the recruitment process or the job you're applying for more accessible, let us know. We can provide accommodations at any stage in the recruitment process. Just ask!

Trade Union (If applicable)

Job Family

Data (FG)

Unposting Date

2026-09-15

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