Backend engineer python in marketing data integration

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.

• 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.

• 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.
• Будет плюсом: ETL/ELT or data integration experience; marketing/ad-tech APIs; PostgreSQL and Redis in production; Docker and GitLab CI/CD

• Competitive Pay / Contractor role
• Fully remote
• Real impact: your code runs in production for 6,000+ customers