Senior Data Engineer, AI/ML Pipelines (Remote)

MEDFAR; Montreal (administrative region); Hybrid; CAD 80,000 - 110,000; Full time

Benefits offered by this job

Healthcare insurance from day one

3 weeks + 1 additional week paid time off

Annual training allowance ($1,500)

Onboarding program

Support from a wellness and social committee

Hybrid work model with flexibility

Job summary

A healthcare technology company is seeking a Data Engineer to join its AI/ML integration team in Montreal. This permanent full-time role focuses on building and maintaining ETL pipelines, establishing data architecture, and collaborating with data scientists. The ideal candidate has a Bachelor's in Computer Science or a related field with significant experience in production-grade data pipelines, strong programming skills in Python and SQL, and is bilingual in French and English. Remote working options are available, supporting work-life balance.

Qualifications

• 5+ years hands-on experience in building production-grade data pipelines.
• Proven expertise with AI/ML production pipelines.
• Experience with data engineering and orchestration tools.

Responsibilities

• Build and maintain ETL pipelines to ingest and process data.
• Establish data architecture for structured and unstructured datasets.
• Deploy and optimize data workflows in cloud environments.

Skills

Building production-grade data pipelines

AI/ML production pipelines expertise

Data engineering tools experience

Distributed data processing

Strong programming skills in Python and SQL

Familiarity with containerization

Understanding of data quality and security

Proactive and detail-oriented mindset

Bilingual (French and English)

Education

Bachelor's degree in Computer Science or related field with 5+ years experience

Tools

Azure Data Factory

Databricks Jobs

Airflow

Apache Spark

Docker

Kubernetes

Job description

A healthcare technology company is seeking a Data Engineer to join its AI/ML integration team in Montreal. This permanent full-time role focuses on building and maintaining ETL pipelines, establishing data architecture, and collaborating with data scientists. The ideal candidate has a Bachelor's in Computer Science or a related field with significant experience in production-grade data pipelines, strong programming skills in Python and SQL, and is bilingual in French and English. Remote working options are available, supporting work-life balance.