About Windsor.ai
At Windsor.ai, we connect data from 300+ sources (Facebook Ads, Google Ads, GA4, HubSpot, Salesforce, TikTok) to 30+ destinations (Looker Studio, BigQuery, Snowflake, and LLMs like ChatGPT and Claude). We're a lean, highly technical remote team serving 6,000+ customers, and we're looking for a Backend Engineer to help scale the platform behind it.
Responsibilities
•You'll build and maintain the Python pipelines at the core of our marketing data integration and ELT platform: pulling data from third-party APIs, normalizing it, and delivering it reliably at scale.
•Own API integrations end to end: rate limits, pagination, custom authentication, and inconsistent error handling across hundreds of sources.
•Ship production-grade code: clean, tested Python with pytest coverage and code review as routine.
•Keep pipelines fast and reliable: concurrency, caching, and smart data modeling as volume grows.
•Work async with a small, senior team: engineers, product, and support.
Requirements
•4+ years of professional programming experience with strong production-grade Python.
•Solid grasp of OOP, concurrency (threads/async), and data structures.
•Comfortable in Linux development and production environments.
•Experience integrating third-party APIs and dealing with their quirks.
•Independent, async, and comfortable in a fully remote, contractor-style engagement.
•Basic SQL is expected of everyone.
Nice to have
•ETL/ELT or data integration experience.
•Marketing/ad-tech APIs.
•PostgreSQL and Redis in production.
•Docker and GitLab CI/CD.
Conditions
•Competitive pay / contractor role.
•Fully remote.
•Real impact: your code runs in production for 6,000+ customers.
