Über
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 Requirements:
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) Benefits:
Comprehensive benefits package designed to support well-being and growth Generous PTO Free Grüns subscriptions Strong benefits coverage for you and your family
Sprachkenntnisse
- English
Hinweis für Nutzer
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