Build and own backend services and system integrations across core business platforms including Shopify, Skio (subscriptions), Fulfil.io (ERP), marketing tools, and finance/banking systems
Design, build, and maintain reliable data ingestion patterns using APIs, webhooks, and batch workflows with strong error handling and observability
Write and maintain production-grade services primarily in Python (Node/TypeScript where appropriate)
Productionize data products that support analytics, forecasting, and data science initiatives
Improve platform reliability across GCP, the warehouse, and orchestration layers through monitoring, alerting, logging, and cost-aware architecture decisions
Translate defined cross-functional requirements into robust technical systems
Collaborate with the Data team to improve dbt models and analytics workflows when backend system improvements unlock better data outcomes

5-7+ years of experience in backend engineering, data engineering, or platform engineering
Strong proficiency in Python and SQL (TypeScript/Node is a plus)
Experience building and operating production APIs and backend services (REST and/or GraphQL)
Experience designing and maintaining data ingestion workflows using APIs, webhooks, and batch processes
Hands-on experience with orchestration tools such as Airflow / Composer (or equivalent)
Cloud infrastructure experience (preferably GCP)
Strong reliability mindset with experience building stable, scalable, well-monitored systems
Preferred: Familiarity with dbt and supporting analytics workflows when needed
Preferred: Experience with data quality best practices (tests, reconciliation, idempotency, schema evolution)
Preferred: Awareness of privacy and compliance considerations for data pipelines (GDPR/CCPA principles)

Senior Backend Engineer, Data

Key skills