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Spark roles open to Canada.

Browse remote Spark roles that accept candidates based in Canada.

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Remote Spark jobs in Canada with clear eligibility

Candidate locationCanadaStack focusSparkMira checkCountry eligibility

This page focuses on remote roles that list Canada as an accepted candidate location. That matters because many remote jobs still restrict applications by country, timezone, payroll, legal entity, or hiring policy.

Use Spark as a stack filter without changing the original role titles, comparing seniority, accepted countries, and application readiness before opening the full role page.

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Current search7 Spark rolesLocation: Canada

Showing 7 of 7 roles

Eligibility checked
7 accepted countriesCompany-site apply Jul 14

Strong Python and production ML skills, with a proven track record of shipping models into real production pipelines.

  • Senior
  • AWS
  • Docker
  • GCP
  • +3
Eligibility checked
10 accepted countriesCompany-site apply Jul 11

Databricks-Native ML Development: Design, develop, and deploy machine learning solutions using Databricks technologies including PySpark, Spark SQL, MLflow, Feature Store, AutoML

  • Senior
  • Azure
  • CI/CD
  • LLM
  • +3
Eligibility checked
5 accepted countriesCompany-site apply Jul 5

Strong Python and production ML skills, with a proven track record of shipping models into real production pipelines.

  • Senior
  • AWS
  • Docker
  • GCP
  • +3

Data Engineer

Nebius 路 Data Science

Eligibility checked
Broad eligibilityCompany-site apply Jul 4

Design, develop, and maintain scalable data pipelines.

  • Senior
  • Docker
  • Kubernetes
  • Python
  • +2

Data Engineer

Anteriad 路 Data Science

Eligibility checked
10 accepted countriesCompany-site apply Jul 2

Partner with technical and non-technical stakeholders to translate business requirements into scalable, reliable, and maintainable data engineering solutions.

  • Middle
  • AWS
  • Azure
  • Python
  • +2

Data Engineer

OneSix 路 Data Science

Eligibility checked
9 accepted countriesCompany-site apply Jul 2

Data Engineering & DevelopmentDevelop and maintain robust data integration pipelines (ETL and ELT) to process large volumes of financial data across cloud and on-premise environments.

  • Senior
  • AWS
  • Azure
  • CI/CD
  • +3
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