Grüns

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Senior Backend Engineer

Full TimeRemoteTeam 51-200Since 2023H1B No SponsorCompany SiteLinkedIn

Location

United States

Posted

20 days ago

Salary

$150K - $170K / year

Bachelor Degree5 yrs expEnglishAirflowCloudERPGoogle Cloud PlatformGraph QLNode.jsPythonSQLType Script

Job Description

• 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

Job 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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