Senior Data Integration Engineer

Senior Data Integration Engineer

TradingView is the world’s #1 platform for all things investing. 100M+ users trust us to inform their trading decisions. Want to make an impact? Apply now — help shape the future of finance.

About the team

We are looking for a Data Integration Engineer 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!

What you'll do

• 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 requirements, optimize pipelines, and drive quality improvements.
• Documentation: Maintain and evolve comprehensive data documentation, schema definitions, and defect logs.

What makes you the perfect fit

• 2+ years in Data Engineering, Data Quality, DataOps, or Data Analytics.
• Core Data Quality Skills: Strong understanding of data profiling, data anomalies, and core DQ dimensions (completeness, accuracy, consistency, timeliness).
• Technical & Pipeline Expertise: Hands-on experience with data pipelines (ETL, batch, or streaming) and data feed ingestion through APIs and backend services.
• CLI & Linux: High comfort level working in the terminal (Bash / Linux command line) and reading application logs.
• Developer Workflows: Solid knowledge of JSON/YAML, version control (Git/GitHub), CI/CD practices (e.g., GitLab, Jenkins), and general SDLC concepts.
• Language Skills: English proficiency (B2+ or strong reading and written technical communication).
• Will be a plus: Experience in finance or trading domain; Familiarity with TradingView as a product; Scripting & Automation: Python skills for writing data processing scripts or automated quality checks, or proficiency with Regex for searching large data arrays; Advanced Data Stack: Experience with streaming platforms (e.g., Kafka), data observability tools, or data catalogs and metadata management; Modern Tooling: Familiarity with AI tools and AI-assisted engineering workflows.

What we offer you

• Flexible working hours and a hybrid work format
• Well-equipped offices for focused and collaborative work
• A global, distributed team of 500+ professionals
• Learning, mentorship, and long-term career growth
• Relocation support and private health insurance
• Performance-based bonuses
• TradingView Premium access
• Regular team events and company-wide meetups

Who you are

Data-focused professional who cares about data as a product and wants to solve complex data anomalies at their source, with the ability to collaborate across product, engineering, and analytics teams.

Tech stack

Data pipelines (ETL, batch, streaming); APIs and backend services; JSON/YAML; Git; CI/CD tooling (GitLab, Jenkins); Linux; Python (preferred for data processing scripts); data observability tools; streaming platforms (e.g., Kafka).