Backend Engineer - Python Data Pipelines

About the role

Windsor.ai connects marketing and sales data from 300+ sources (Facebook Ads, Google Ads, GA4, HubSpot, Salesforce, TikTok) to 30+ destinations (Looker Studio, BigQuery, Snowflake and LLMs such as ChatGPT and Claude). It is a lean, highly technical remote team of about 6,000 customers, and it is looking for a Backend Engineer to help scale the platform. The role is a fully remote, contractor-style engagement.

Key responsibilities

• Build and maintain the Python pipelines at the core of the marketing data integration and ELT platform, pulling data from third-party APIs, normalising 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 by using concurrency, caching and smart data modelling as volume grows.
• Work asynchronously with a small, senior team of engineers, product and support; basic SQL is expected of everyone.

Required profile

• 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.

Required skills

• Python (Flask, multi-threading)
• pytest / pytest-xdist, pylint
• PostgreSQL and Redis in production
• Docker and GitLab CI/CD
• Taiga

What we offer

• Competitive pay for a contractor role.
• Fully remote work.
• The chance to see your code run in production for 6,000+ customers.