CareerPlanSign in

GenAI Data Engineer

Toronto, Ontario💼 Full-time🗓 2026-01-29 → 2026-09-07

Core

Designing, building, and maintaining data pipelines and infrastructure to ingest, process, and store unstructured data at scale, integrating AI tools to transform data into structured insights.

Role type

GenAI Data Engineer

Builds

Cloud-native ETL/ELT processes, data pipelines, and integrated data infrastructure

Domain

Cloud data engineering, Generative AI, Unstructured data processing

Deliverable

production ML models

Required skills

Snowflake, GCP, Dataiku, SQL, Python, OCR, NLP, Document AI, ETL/ELT

Preferred skills

Petabyte-scale data handling, AI tool integration

Technologies

Snowflake, GCP, BigQuery, Cloud Storage, Dataflow, Dataiku

Responsibilities

Design and implement robust data pipelines for unstructured data; Leverage Snowflake unstructured data capabilities; Build and maintain cloud-native ETL/ELT processes; Integrate AI tools (OCR, NLP, Document AI) into engineering flow; Tune complex SQL queries and Python-based processing jobs

Seniority

Experienced

Sourced via adzuna · Listed on CareerPlan, which tracks 854,000+ jobs from 20+ sources.