Backend Engineer

6,000+ Customers. 300+ Integrations. Your Code Moves the Data. At , 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. The Role 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. Basic SQL is expected of everyone. Stack: Python (Flask, multi-threading), pytest / pytest-xdist, pylint, PostgreSQL, Redis, Linux, Docker, GitLab CI/CD, Taiga. Who You Are 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 Bonus: ETL/ELT or data integration experience · marketing/ad-tech APIs · PostgreSQL and Redis in production · Docker and GitLab CI/CD The Offer Competitive Pay / Contractor role Fully remote Real impact: your code runs in production for 6,000+ customers Originally posted on Himalayas