About the role
TradingView is the world’s largest financial analysis platform with more than 100M users across 180+ countries. We build tools that help traders and investors make informed decisions — from advanced charting and market data to collaboration and publishing features. Our products are used daily by millions of individuals and trusted by companies like Revolut, Binance, and CME Group. We’re continuing to grow and scale our platform, and we’re looking for people who care about product quality, take ownership of their work, and want to build systems used by a global audience.
About
the team We are looking for a Data Integration Engineer (QA) to take ownership of our data streams end-to-end. In this role, your primary focus isn't traditional UI or API testing—you will dive deep into the data itself. You will act as the vital link between raw incoming data feeds and a high-quality final product, ensuring accuracy, consistency, and reliability across our entire data pipeline. If you care about data as a product and want to solve complex data anomalies at their source, we’d love to talk!
Responsibilities Data Quality Ownership: Define data quality
requirements, metrics, and SLAs aligned with business and engineering needs. Monitoring & Alerting: Set up dashboards, track data SLAs, and proactively identify anomalies, drift, duplicates, and defects within numerical and production data streams. Incident Investigation & Remediation (RCA): Conduct root cause analysis across the full data lifecycle when discrepancies occur, fix incorrect records, and implement measures to prevent recurrence. Integration & Schema Design: Participate in designing data schemas/models and lead the onboarding and ingestion of new data sources and APIs. Automation & Coverage: Expand automated data quality test coverage and build pipeline checks to catch issues early. Cross-Functional Collaboration: Partner closely with developers, product managers, and analysts to clarify
