Data Engineering: Scalable AI Pipelines (Remote)

Ring Inc; Remote; CAD 90,000 - 120,000; Full time

Job summary

A leading technology company is seeking a Member of Technical Staff, Data Engineering to develop scalable data pipelines and improve AI model performance. The ideal candidate will have strong Python skills and experience with large-scale data processing frameworks. This role offers flexible remote work options and a supportive, inclusive culture alongside excellent benefits and professional development opportunities.

Benefits

Open and inclusive work culture

Weekly lunch stipends, in-office meals, and snacks

Comprehensive health, dental, and mental health benefits

100% parental leave top-up for up to six months

Personal enrichment budget

6 weeks (30 working days) of vacation

Qualifications

• Strong software engineering skills, particularly in Python.
• Experience building and maintaining large-scale data pipelines.
• Familiarity with data processing frameworks such as Apache Spark, Apache Beam, or Pandas.
• Experience working with large-scale web datasets like CommonCrawl.
• Excellent collaboration and communication skills to work effectively across global teams.

Responsibilities

• Design, develop, and maintain scalable data pipelines.
• Conduct data ablations and experiments to improve model performance.
• Implement robust data modeling techniques for efficient training.
• Collaborate with researchers and engineers to meet evolving needs.

Skills

Strong software engineering skills, particularly in Python

Experience building and maintaining large-scale data pipelines

Familiarity with data processing frameworks such as Apache Spark, Apache Beam, Pandas

Experience working with large-scale web datasets

Excellent collaboration and communication skills

Job description

A leading technology company is seeking a Member of Technical Staff, Data Engineering to develop scalable data pipelines and improve AI model performance. The ideal candidate will have strong Python skills and experience with large-scale data processing frameworks. This role offers flexible remote work options and a supportive, inclusive culture alongside excellent benefits and professional development opportunities.