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Contract Databricks Data Engineer Jobs in Montreal, QC

DoiT

Senior Technical Content Writer

Montreal, QC · Remote

The Opportunity We're building a technical content program to serve data engineers, analytics engineers, and other practitioners who work inside data platforms (Databricks, Snowflake) environments.

Td

Sr. Full Stack Data Science Engineer

Montreal, QC · On-site

CA$154K - CA$199K/yr

Azure (ADF, Synapse, Databricks), Snowflake * Data Engineering : ETL/ELT Pipelines, Apache Spark Nice-to-Have * Experience in customer analytics within financial services (e.g., engagement ...

AppDirect

Ingenieur(e) de donnees

Montreal, QC

Senior Data Engineer A propos d'AppDirecte Devenez un citoyen du monde a l'ere numerique et ... Databricks : Experience pratique avec Databricks (espaces de travail, taches/workflows, Spark SQL ...

Revelate

Senior Sales Engineer

Montreal, QC · On-site

Senior Sales Engineer Pre-Sales / Solutions Engineer Most Sales Engineer roles are about running ... Hands-on experience with the modern data stack: Snowflake, Databricks, or similar platforms

SAP

Data Science Chief Expert, CX

Montreal, QC

Work with cloud and data platforms such as Databricks, SAP Datasphere, SAP HANA Cloud, AWS, Azure ... Partner closely with product, engineering, business, and customer-facing teams to ensure solutions ...

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Showing results 21-40

All JobsContract Databricks Data Engineer JobsContract Databricks Data Engineer Jobs in Montreal, QC

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.

Senior Software Developer - Databricks

Coveo

Montreal, QC • Hybrid

Full-time

Re-posted 23 days ago

Job description

Build the backbone of scalable data platforms at Coveo

As a Senior Software Developer within the Data Platform's Infrastructure team, you will lead efforts to improve the reliability, cost efficiency and platform enablement of both Snowflake and Databricks. You will own the operating model for these platforms, the infrastructure as code that deploys them, and the performance and operational practices that keep them healthy.

You will join a team that treats infrastructure as a product and that focuses on reliability, performance and ownership. Your technical leadership will shape how our data platforms evolve and scale across the company.

As our Senior Software Developer, Data Platform Infrastructure, you will:
  • Build and maintain infrastructure as code for the Data Platform, including Terraform modules, CI CD pipelines and change management
  • Own Snowflake and Databricks platform operations, governance and lifecycle, including workspace and account design
  • Define cost management and collaborate with FinOps on forecasting and optimization of both platforms
  • Implement observability and operational readiness with monitoring, alerts, dashboards, runbooks and on-call practices
  • Coordinate with product teams and vendors to monitor roadmaps and feature sets for Snowflake and Databrick while aligning platform capabilities with product needs
Here is what will qualify you for the role:
  • Strong experience managing a Databricks infrastructure at scale
  • Proven track record delivering reliability and observability for high-scale SaaS, including SLOs, alerts, and incident response
  • Advanced Python and SQL skills
What will make you stand out:
  • Snowflake experience, including warehouse tuning, governance, and terraform/ddl provisioning
  • Experience designing and operating a hybrid data platform that integrates Databricks and Snowflake
  • Strong Spark skills for tuning, partitioning knowledge, and improving performance of large jobs
  • Knowledge of security and governance best practices on both platforms
  • Delta Lake and lakehouse expertise: experience with table formats, CDC, compaction, and storage layout optimizations that improve performance and enable efficient interoperability between Databricks and Snowflake

Do you think you can bring this role to life? Or add your own color?
You don't need to check every single box; passion goes a long way and we appreciate that skillsets are transferable.

Send us your application, we want to hear from you!

Join the Coveolife!

We encourage all qualified candidates to apply regardless of, for example, age, gender, disability, gaps in CV, national or ethnic background.

This job description was written by humans, assisted by AI. We may leverage technology in our hiring process to help us see the person behind the resume.

Coveo is committed to providing accessible employment practices. If you require accommodation due to a disability at any point during the recruitment process, please contact HR@Coveo.com to discuss your needs.
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