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 teamThe Data Engineering team is the foundation on which the entire company operates. We build scalable infrastructure that transforms massive volumes of information into clear and trustworthy insights.
The role assumes a high degree of autonomy and independence, while also requiring close collaboration with colleagues, analysts, ML engineers, and developers.
ResponsibilitiesMaintain and develop Airflow DAGs
Optimize and develop SQL queries for data marts
Maintain and evolve the data platform infrastructure
Develop dbt models and migrate existing data marts to dbt
Design, develop, and test ETL/ELT processes
Run proof-of-concept projects, present results, and bring them to production
Participate in architectural decision-making for the data platform
Document technical parts of delivered solutions
4–5 years of experience as a Data Engineer
Strong proficiency in Python, including writing Airflow DAGs
Strong SQL skills, including query optimization, reading query execution plans, and improving query performance
Experience with AWS
Hands-on experience with Apache Airflow and pipeline design principles
Experience working with dbt
Understanding of MPP (Massive Parallel Processing) databases and hands-on experience with systems such as Redshift, Greenplum, or Vertica
Confident Linux user
Ability to clearly formulate technical specifications and defend technical decisions
Skilled at selecting the right technologies for specific tasks
Will be a plus
Experience with Lakehouse architecture using Parquet, AWS Athena, and other AWS technologies
Experience with monitoring systems (Prometheus + Grafana, Zabbix)
Experience with Postgres, ClickHouse
Experience with Apache NiFi
Experience building and maintaining Docker containers
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
Join the TradingView team and help us build a product used by millions of traders and investors worldwide. We look forward to hearing from you!
TradingView is an equal opportunity employer. We embrace diversity and are dedicated to fostering a diverse and inclusive workplace. Our success is driven by 600+ professionals from 40+ countries who speak nearly 20 languages.