Senior Backend Engineer
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Job Description
Senior Backend Engineer responsible for backend services and data systems at Grüns. Collaborating with teams to support analytics and improve data workflows in a remote environment.
Responsibilities:
- 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, ensuring they are stable, scalable, and maintainable
- 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, partnering closely with a project manager to deliver clean execution
- 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, with hands-on ownership of production services and integrations
- Strong proficiency in Python and SQL (TypeScript/Node is a plus)
- Experience building and operating production APIs and backend services (REST and/or GraphQL), including authentication patterns, background jobs, and third-party integrations
- 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), including CI/CD, logging, monitoring, and observability practices
- Strong reliability mindset with experience building systems that are stable, scalable, and well-monitored
- 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:
- competitive equity packages
- comprehensive set of benefits designed to support the well-being, growth, and balance of our team
- generous PTO
- free Grüns subscriptions
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