Job type
- Full-time
- Quick Apply
Job description
Role: Data / AI Native Engineer
Location: Canada (Remote)
Type: Contract
Strong signals
- AI used inside the pipeline, not just in app code - AI-assisted schema inference, automated data quality rules, LLM-based anomaly detection, AI-generated PySpark transformations. This is the single strongest differentiator for this role.
- AI-enabled data products - feature stores, vector stores, RAG data layers, embedding pipelines
- Streaming at volume - Structured Streaming, Kafka, Kinesis, Auto Loader
- Modern lakehouse patterns - SCD2, CDC, idempotent writes, schema evolution, data contracts
- dbt, Airflow, Databricks Workflows, Delta Live Tables
Typical titles that map
- Senior/Lead/Principal Data Engineer Data Platform Engineer Analytics Engineer (senior) Data Engineering Manager with active IC work
- Titles that usually don't map
- ETL Developer (Informatica/AbInitio/DataStage heritage, no cloud-native rebuild) BI/Report Developer Data Architect (diagrams-only, no code) DBA Hadoop Administrator