Remote MLOps Data Engineer — Spark & Databricks

Triton Digital Canada Inc.

Quebec

Hybrid

CAD 100,000 - 125,000

Full time

6 days ago
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Benefits offered by this job

Fully remote (Ontario or Quebec)
4 weeks vacation + 5 personal days
Group insurance from day one
RRSP with matching
Internet reimbursement

Job summary

Triton Digital Canada Inc. is seeking an MLOps Data Engineer to bridge data science and production systems. You will design and automate CI/CD pipelines, optimize large-scale data processing with Apache Spark, and leverage Databricks to deliver reliable ML solutions.

Your work will enable faster turning of listener intelligence into structured, machine-readable signals for advertising systems. You will collaborate with data scientists to productionize models, implement automated testing and

Qualifications

  • Proven data engineering and MLOps experience.
  • Strong Python and Spark skills; Scala is a plus.
  • Experience with Databricks and Delta Lake.
  • CI/CD and cloud experience.

Responsibilities

  • Design, implement, and maintain CI/CD pipelines for ML workflows.
  • Build and optimize data processing pipelines in Spark for large datasets.
  • Deploy and manage Databricks environments with cost optimization.
  • Collaborate with data scientists to productionize ML models.
  • Implement automated testing and monitoring for ML pipelines.
  • Champion best practices in version control and environment reproducibility.

Skills

Data engineering
MLOps
DevOps
Python
Spark
Databricks
Delta Lake
CI/CD
Cloud platforms
Distributed systems

Tools

GitHub Actions
Azure DevOps
Jenkins
GitLab CI
ArgoCD

Job description

Triton Digital Canada Inc. is seeking an MLOps Data Engineer to bridge data science and production systems. You will design and automate CI/CD pipelines, optimize large-scale data processing with Apache Spark, and leverage Databricks to deliver reliable ML solutions.

Your work will enable faster turning of listener intelligence into structured, machine-readable signals for advertising systems. You will collaborate with data scientists to productionize models, implement automated testing and

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