Backend Engineer - Data & Orchestration

As Backend Engineer - Data & Orchestration, you take a data platform that grew fast and turn it into one system the whole company can rely on. You keep it running, you keep it clean, and you make it simpler every month. This is not a pure ETL or warehouse role: you work across the pipelines and the backend services they depend on.

What you'll do

• Keep our scrapers and platform integrations running across flaky sources, rate limits, anti-bot measures and APIs that change overnight
• Own our event-driven pipelines end to end, from orchestration (Airflow, Dagster or similar) to databases and warehouses, built to survive failures and to keep costs in check
• Build the monitoring and alerting (Datadog or similar) that keeps our services and integrations healthy, and the checks on freshness, volume, schema and values that catch a wrong number before anyone downstream notices
• Work on the production services and APIs our data flows through, including our JavaScript backends
• Own CI/CD, infrastructure as code and cloud for our data systems, plus access and secrets management
• Consolidate what grew fast into one documented system, and remove what is no longer needed
• Explain what the data can and cannot do to non-technical colleagues, and guide junior engineers as the team grows

What you'll need

• 3 to 10 years of hands-on engineering in small or fast-growing companies where you owned production systems yourself
• Advanced Python, including async code and long-running data jobs, and enough backend experience to work on production services and APIs, including basic JavaScript or TypeScript backends
• Experience keeping unreliable external sources running in production (scrapers, platform APIs, unofficial endpoints) and handling proxies, rate limits and anti-bot measures
• Experience designing and running event-driven, fault-tolerant pipelines handling millions of records a day, with Airflow, Dagster or task queues, on databases such as Postgres, ClickHouse, MongoDB or Redshift
• Comfort with Docker, Terraform, CI/CD and cloud; ideally you have run an access review and set up role-based access and secrets management
• Experience owning a messy data setup end to end at a smaller company and leaving it simpler, documented and maintainable

Nice to have

• Using LLMs to extract data from messy sources
• Experience guiding junior engineers or leading a small team

What they offer

• Competitive salary and equity ownership in the business
• Remote work with complete freedom over your life
• Regular global offsites for strategy, bonding, and collaboration