Job Description

Зарплата: до 3500 USD (до вычета налогов)

Stealth-mode AI-powered Cloud-Native Health-Tech company is looking for a great, long-term Mid-level Data QA Engineer.

The focus of the role is testing ETL data loads and making sure the data in BigQuery and Spanner is complete, accurate, and consistent with business requirements.

Day to day, you will validate data loads from source to target, check transformation logic, investigate data discrepancies, and document issues so engineers can fix them quickly. Pipeline development and fixes are handled by data engineers; your role is to find problems, trace where they come from, and confirm that fixes work.

Since working with healthcare data, an important part of the job is learning the medical domain: clinical codes, terminology, and business rules that define what correct data looks like.

The company uses AI tools actively in our work and expects you to do the same, for example, to