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Remote Data Pipeline Jobs in Quebec (NOW HIRING)

Having recognized the advantages of remote work, including employee morale, productivity, reduced ... You will own the infrastructure-as-code and delivery pipelines that provision and deploy the ...

Data Engineer

Montreal, QC ยท Remote

$60 - $90/hr

Remote, must be based in Quebec Schedule: Part-Time | 3-Month Contract (chance of renewal/moving ... Hands-on experience building and maintaining ETL pipelines across multiple systems and platforms.

Mental Health Expert - Remote

Montreal, QC ยท Remote

$200 - $350/hr

Remote Job Summary We are seeking an experienced AI/ML Engineer to build and deploy secure ... Build robust ETL and data pipelines , metadata catalogs, and ontologies for AI training and ...

AI/ML Engineer - Remote

Montreal, QC ยท Remote

$200 - $350/hr

Remote Job Summary We are seeking an experienced AI/ML Engineer to build and deploy secure ... Build robust ETL and data pipelines , metadata catalogs, and ontologies for AI training and ...

It is a 100% Remote position in Canada. \n \n \n * Candidates Preferred from EST\/CST Time Zone. \n ... This is a hands\-on role responsible for designing and building Fabric artifacts (pipelines ...

Educate prospects who may not have considered remote assistants, virtual assistants, offshore ... Keep activity, notes, and pipeline data accurate and current in our CRM. Bring the Market Back In

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Remote Data Pipeline information

What is the difference between Remote Data Pipeline vs Data Engineer?

AspectRemote Data PipelineData Engineer
Required SkillsData integration, ETL tools, scriptingDatabase management, programming, data architecture
Work EnvironmentRemote, cloud-based platformsOn-site or remote, enterprise environments
CertificationsCloud certifications, data toolsData management, cloud certifications
Industry UsageTech, finance, healthcareTech, finance, healthcare

Remote Data Pipelines focus on building and maintaining automated data workflows in cloud environments, often requiring scripting and data integration skills. Data Engineers design and develop comprehensive data systems, including databases and data architecture, with broader responsibilities. Both roles are vital in data-driven industries and often overlap, but Data Engineers typically have a wider scope and require more extensive technical expertise.

What are popular job titles related to Remote Data Pipeline jobs in Quebec?

For Remote Data Pipeline jobs in Quebec, the most frequently searched job titles are:

What cities in Quebec are hiring for Remote Data Pipeline jobs?

Cities in Quebec with the most Remote Data Pipeline job openings:

Infographic showing various Remote Data Pipeline job openings in Quebec as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 13% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

Data Engineer (DevOps)

Montreal, QC โ€ข On-site, Remote

Full-time

Re-posted 18 days ago


Key responsibilities

  • Provision and evolve AWS and Databricks accounts and workspaces using Terraform.

  • Build, maintain, and operate Databricks jobs and streaming pipelines, including data transformation and movement.

  • Develop and manage data pipelines, including real-time streaming and change data capture (CDC) workflows.


Job description

Having recognized the advantages of remote work, including employee morale, productivity, reduced commuting on employee wellbeing and the environment, we are proud to be a digital-first company. The technologies and programs in which we invested have provided a fantastic foundation to this end. Our digital-first work environment, together with our conveniently located offices and collaborative workspaces, provide our team with the freedom and flexibility to work in the way that makes our employees most productive.

About us

Tecsys is a fast-growing innovator offering supply chain solutions to industry leading healthcare systems, hospitals, and pharmacy businesses to distributors, retailers, and 3PLs. We work with industry leaders to transform their supply chains through technology. If you thrive on tackling interesting challenges with continuous learning opportunities, then Tescys could be a good fit for you!

We're looking for aย Data Platform Engineer (DevOps)ย to join our TecsysIQ Data & AI team. This is a hybrid role that builds and operates the cloud data platform powering our analytics and AI products on Databricks and AWS.

You will own the infrastructure-as-code and delivery pipelines that provision and deploy the platform,ย andย the Databricks jobs and streaming pipelines that move and shape data through it. You'll partner closely with Data Platform Developers, application dev teams, and Product Owners - standing up new customer environments, evolving the CI/CD and release process, and creating and maintaining the data pipelines that keep the platform running reliably at scale. If you are equally comfortable writing Terraform and debugging a Spark Structured Streaming job, this role is for you.

ResponsibilitiesPlatform & DevOps
  • Provision and evolve AWS and Databricks accounts and workspaces usingย Terraformย across multiple regions and environments, managing remote state and per-environment configuration.
  • Own theย Helm charts and Kubernetes Jobsย that onboard new customer environments and deploy the application layer onto provisioned workspaces.
  • Build and maintainย Dockerย images and the Java/Maven build pipeline, publishing artifacts to internal artifact and container registries.
  • Integrate build, test, and deployment intoย CI/CD pipelines, and improve release management and versioning across interdependent repositories.
  • Manage secrets and credentials safely through cloud secret management and Kubernetes - never in source control.
Data Platform & Pipelines
  • Design, build, and maintainย Databricks jobs and pipelinesย - including data curation, transformation, and initial bulk-load workflows.
  • Develop and operateย real-time streaming and change data capture (CDC) pipelinesย across the ingestion and transformation layers usingย Spark Structured Streaming.
  • Build and evolve end-to-end data movement across theย Bronze, Silver, and Goldย data layers, extending pipelines to handle new sources and schema changes as the platform grows.
  • Develop and maintain reusable pipeline components and frameworks so new data workflows can be onboarded and shipped quickly.
  • Tune clusters and SQL warehouses for cost and performance, and manage catalog, schema, and access governance across environments.
  • Collaborate with Data Platform Developers, Product Owners, and business stakeholders in an Agile environment to deliver high-quality data products.

Requirements

Qualifications
  • Hands-on experience withย Databricksย andย Apache Spark, including building batch or streaming data pipelines (mandatory).
  • Strongย Terraformย skills and comfort managing cloud infrastructure onย AWS.
  • Working knowledge ofย Kubernetesย andย Helm, and containerization withย Docker.
  • Proficiency inย Pythonย (PySpark) and/orย Java, plus strong SQL for data validation and troubleshooting.
  • Experience with Git-based workflows andย CI/CD pipelinesย in a multi-repository codebase.
  • Understanding of data quality, ETL/ELT, and data observability concepts.
  • Experience working in Agile teams alongside Data Platform Developers and Product Owners.
  • Strong analytical, problem-solving, and communication skills.
  • Strong proficiency in both written and verbal English communication essential for effective correspondence with clients, suppliers, business partners, and colleagues beyond the province of Quebec.

We understand that experience comes in many forms and that careers are not always linear. If you don't meet every requirement in this posting, we still encourage you to apply.

At Tecsys, we are committed to fostering a diverse and inclusive workplace where all employees feel valued, respected, and empowered. We believe that diversity drives innovation and strengthens our ability to deliver exceptional solutions. We welcome and encourage applicants from all backgrounds, experiences, and perspectives to join our team.

Tecsys is an equal opportunity employer. Accommodation is available for applicants selected for an interview.

NB: if you are applying to this position, you must be a Canadian Citizen or a Permanent Resident of Canada, OR, have a valid Canadian work permit.