Senior Data Engineer: LLM Pipelines & Mentorship (Hybrid)

Mindlance; Toronto; Hybrid; CAD 100,000 - 130,000; Full time

Job summary

A leading data engineering firm is seeking a Senior Data Engineer in Toronto to build and manage large-scale data pipelines and support generative AI applications. The role involves mentorship of junior engineers and collaboration across teams to deliver data solutions. The ideal candidate has over 5 years of experience in data engineering, advanced skills in SQL and Python, and familiarity with machine learning technologies. This is a hybrid position offering a 12+ month contract.

Qualifications

• 5+ years of experience in data engineering or related roles.
• 2 years of experience with LLMs or agent-based applications.
• Advanced skills in SQL, Python, and ETL.

Responsibilities

• Oversee junior data engineers and manage project execution.
• Design and implement scalable data pipelines.
• Develop infrastructures for predictive modeling and generative AI.

Skills

SQL

Python

ETL frameworks

APIs

Data modeling

Machine learning

Education

Bachelor’s degree in computer science, Engineering, or related field

Tools

Google BigQuery

Azure Data Lake

Job description

A leading data engineering firm is seeking a Senior Data Engineer in Toronto to build and manage large-scale data pipelines and support generative AI applications. The role involves mentorship of junior engineers and collaboration across teams to deliver data solutions. The ideal candidate has over 5 years of experience in data engineering, advanced skills in SQL and Python, and familiarity with machine learning technologies. This is a hybrid position offering a 12+ month contract.