Senior Backend Engineer

Overview

Job Description

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

Required Skills

• - 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 the team
• - Generous PTO
• - Free Grüns subscriptions
• - Strong benefits coverage for you and your family