2 months ago
Remote, Canada +2 moreSenior
Responsibilities
- Own and evolve the BigQuery data warehouse, dbt transformation layers, Airflow/Cloud Composer orchestration, and Pub/Sub ingestion systems.
- Build and operate ML training pipelines, model-serving infrastructure, typed contracts, CI/CD, and containerized production services using Kubeflow, Vertex AI, and FastAPI.
- Design scalable data pipelines, datasets, data models, feature pipelines, and data services for real-time and batch workloads.
- Improve data quality, schemas, lineage, governance, observability, operational metrics, reliability, performance, and cost efficiency.
- Standardize data engineering patterns, tooling, and reusable pipelines across product lines.
- Partner with Data Science, Product, Backend, Engineering, Risk, and QA teams to deliver trusted and well-governed data solutions.
Requirements
- 5+ years of hands-on Data Engineering experience designing, building, and operating production data platforms, pipelines, and warehouse solutions in cloud environments.
- Strong experience with ETL/ELT, data modeling, schema design, orchestration, data quality, lineage, and warehouse optimization.
- Expert SQL and strong Python skills, with experience building scalable, maintainable, and well-tested data solutions.
- Experience with modern cloud-native data ecosystems, data warehouses, event-driven architectures, distributed processing, and platform observability.
- Demonstrated production ownership including monitoring, reliability, performance tuning, cost optimization, incident response, and platform improvement.
- Bachelor’s degree in Computer Science, Data Engineering, Software Engineering, or a related technical field, or equivalent practical experience.
- Experience with machine learning workflows, feature pipelines, model-serving infrastructure, or MLOps environments is an asset.
- Must be legally authorized to work in Canada.
Benefits
- CAD 120,000–160,000 annual compensation range for experienced and qualified Canada-based IC4 hires.
- Health and dental coverage from day one.
- Flexible paid time off.
- Remote work environment with frequent in-person gatherings and activities.
- Career development, learning opportunities, and growth.
Tech Stack
Apache AirflowBashdbtDockerFastAPIGoogle BigQueryGoogle Cloud PlatformGrafanaMLflowPythonSQLTerraform
Categories
Data EngineeringML Engineering