Company is revolutionizing e-commerce advertising by connecting post-purchase shoppers with highly relevant cross-sell opportunities. Our platform delivers promotional ad experiences immediately after checkout—helping shoppers discover complementary products while enabling merchants to unlock incremental revenue.
We’re looking for a Backend Engineer with a strong data focus with Snowflake experience to help design and scale our analytics infrastructure and data pipelines as we grow.
Our tech stack: Node.js, TypeScript, PostgreSQL, Snowflake, dbt, Airbyte, Redis
What You’ll build:
- ETL/ELT pipelines moving data from PostgreSQL and event streams into Snowflake
- Scalable data models and analytics tables using Snowflake and dbt
- Real-time and near-real-time analytics systems powering insights and reporting
- APIs and internal SDKs that expose metrics and performance data across the organization
- Automated workflows for ingestion, transformation, validation, and reporting
- Monitoring and observability around data quality, freshness, and performance
Requirements:
- 5+ years of experience in backend or data engineering
- Strong SQL skills with hands-on Snowflake experience (schema design, optimization, performance tuning)
- Experience building, maintaining, or scaling ETL/ELT pipelines
- Comfort working across backend systems and analytics workloads
- Experience with modern data tooling (dbt, Airbyte, or similar)
- A strong sense of ownership and accountability for systems you build
- Experience with Snowflake