Senior Backend Engineer, Data

About the role

We’re hiring an experienced Senior Backend Engineer, Data to help scale Grüns data and systems infrastructure as we grow. You’ll own and operate backend services and business-critical integrations that power reliable reporting, forecasting, and internal tooling. This role sits at the intersection of backend and data engineering, partnering closely with the broader tech team to build durable data products and cross-system workflows. This role reports to our Manager of Data Engineering.

This role is critical to unlocking speed and stability across the organization. You’ll translate cross-functional needs from Finance, Ops, Growth, CX, and Product into robust backend systems and production-grade data workflows. You’ll also play a key role in productionizing data products that support analytics, forecasting, and data science initiatives.

In this role, you will:

• 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

We're looking for someone who:

• 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)