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.

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.

• 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

• Competitive Pay / Contractor role

• Fully remote

• Real impact: your code runs in production for 6,000+ customers

Originally posted on Himalayas