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

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonSQLTypeScriptNodeAPIswebhooksdata ingestionRESTGraphQLdata quality

Soft Skills

collaborationcommunicationproblem-solvingreliability mindsetproject management