Senior Software Engineer, Data (GCP)
Мэтч & Сопровод
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Описание вакансии
TL;DR
Senior Software Engineer, Data (GCP): Building and evolving data pipelines and platforms for post-purchase e-commerce experiences with an accent on scalability, data modeling, and embedded analytics. Focus on designing high-volume ETL processes using Airflow and BigQuery and preparing the data layer for agentic AI integration.
Location: Remote (Must be based in Canada and able to work within EST/EDT hours)
Salary: $180,000 - $230,000 CAD
Company
is a post-purchase platform helping thousands of brands simplify the delivery and return experience for millions of consumers.
What you will do
- Design and operate data pipelines processing terabytes of transactional data daily using Airflow/Composer and BigQuery.
- Own end-to-end data models and transformations for merchant analytics and ML features.
- Build and maintain embedded analytics infrastructure for direct merchant interaction.
- Evolve the GCP data platform, including Cloud SQL, AlloyDB, and CDC datastreams.
- Improve data quality and reliability through testing, observability, and validation frameworks.
- Prepare the data layer for agentic and LLM-powered use cases through semantic clarity and standardized metric definitions.
Requirements
- 5–8 years of experience building and operating production data systems.
- Strong SQL skills and proficiency in Python, including experience building and maintaining APIs.
- Experience with cloud data warehouses (GCP preferred) and orchestration via Airflow.
- Deep understanding of dimensional modeling, slowly changing dimensions, and incremental processing.
- Must be based in Canada and work within EST/EDT hours.
- Active use of AI and agentic coding tools as part of the development workflow.
Nice to have
- Experience in startup or high-ownership environments.
- Experience building multi-tenant data products or embedded analytics.
- Interest in making data accessible to AI systems via semantic layers and metadata.
- Knowledge of cost optimization and data governance.
Culture & Benefits
- Fully remote work arrangement.
- High-impact role working with data from 1,500+ brands and billions of interactions.
- Environment that values judgment and ownership over credentials.
- Culture focused on innovation, collaboration, and professional celebration.
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