Data Engineer

About this role

Who we are:

Go Offer is an AI-native company founded in the US by alumni from Google, Yandex, TikTok, and YCombinator. We process thousands of job listings daily, track client outcomes across hundreds of job searches, and make product decisions based on data — not gut feelings. Analytics is how we know what's working and where to push next.

What you'll do:

• Build and maintain data pipelines that ingest, clean, and structure job market data from multiple sources
• Work closely with ML engineers and analysts to make sure the right data reaches the right systems
• Design and optimize SQL and NoSQL database schemas for high-volume, real-time use cases
• Improve reliability and observability of existing pipelines — reduce failures, increase coverage
• Help build the data foundation for new AI agent workflows as the platform scales

We're looking for someone who:

• Has 3+ years of data engineering experience
• Is strong in Python and SQL, with hands-on experience building production pipelines
• Has worked with both SQL and NoSQL databases and understands the tradeoffs
• Understands async systems, data quality, and what it takes to run pipelines reliably at scale
• Thinks about data as infrastructure — not just ETL scripts

Nice to have:

• Experience with web scraping, Selenium, or Playwright
• Familiarity with Docker, cloud infrastructure (AWS, GCP), or orchestration tools (Airflow, Prefect)
• Exposure to LLM pipelines or vector databases

What we offer:

• Fixed salary with annual Performance Review
• Work from anywhere, flexible schedule focused on results
• Personal AI tools budget, access to courses and mentorship
• A product that genuinely changes people's lives
• A team from Google, Yandex, Avito, Skyeng, and YCombinator