GTM Data Engineering Lead

At dYdX you'll have an opportunity to build state-of-the-art decentralized technologies that will redefine global financial markets. By joining us at this stage in our growth, you will help make fundamental decisions that will shape the course of dYdX. 

→ Learn more about working at dYdX

ABOUT dYdX:

• We’ve built the software underlying the world’s leading decentralized exchange for advanced trading of crypto derivatives
• dYdX is founded by an ex-Coinbase, ex-Uber engineer, with a Princeton CS background. Our team has previous experience at Coinbase, Uniswap, Google, Amazon, Lyft, Meta and other top companies
• We're a world-class team with top backers and advisors, including Andreessen Horowitz, Polychain Capital, Brian Armstrong, Fred Ehrsam, Naval Ravikant, Elad Gil, and more 

At dYdX you'll have an opportunity to build state-of-the-art decentralized technologies that will redefine global financial markets. By joining us at this stage in our growth, you will help make fundamental decisions that will shape the course of dYdX.

→ Learn more about working at dYdX

ABOUT dYdX

• We’ve built the world’s leading decentralized exchange for advanced trading of crypto assets, serving tens of thousands of traders and processing over $1.5 trillion in trading volume since 2021.
• dYdX is founded by an ex-Coinbase, ex-Uber engineer, with a Princeton CS background. Our team has previous experience at Google, Bloomberg, Amazon, Facebook, Lyft, NerdWallet and other top companies
• We're a world-class team with top backers and advisors, including Andreessen Horowitz, Polychain Capital, DeFiance Capital, Brian Armstrong, Fred Ehrsam, Naval Ravikant, Elad Gil and more

RESPONSIBILITIES:

• Design and maintain scalable data pipelines and well-structured data models in our data warehouse (e.g., using SQL) to support Mode dashboards, reporting, and self-serve analytics for marketing and engineering teams
• Design data pipelines for blockchain transaction, order book and market participant data, support analyses and alerting related to market activity and product usage 
• Ensure high data quality and integrity by implementing robust validation, monitoring, and alerting systems, along with clear documentation and data governance practices
• Collaborate closely with marketing, engineering and other crossfunctional teams to understand campaign strategies, lifecycle efforts, product usage metrics, and translate those into actionable data insights using tools like SQL and Mode
• Support growth experimentation and performance analysis by helping track new campaigns, run A/B tests, analyze user cohorts, and surface insights to guide strategic product decisions
• Help instill a data-first culture by making tools and metrics intuitive, reliable, and accessible. Provide guidance to teammates on how to use and interpret data. 
• Continuously improve the data infrastructure by exploring new tools, optimizing existing systems for performance and scalability, and driving adoption of data best practices across the organization
• Work closely with cross-functional teams to understand data requirements and deliver solutions that meet business needs

REQUIREMENTS:

• Bachelor’s or Master’s degree in Computer Science, Engineering, Statistics, or a related field, or equivalent experience
• 4+ years of experience in data engineering, data analytics, or a similar discipline
• 2+ years of experience working with blockchain or order book data (e.g. experience indexing blocks, building dashboards in Dune or similar, working with market data from crypto exchanges)
• Expertise in SQL, database technologies, cloud databases, and reporting technologies (BigQuery, GCP, and Mode or similar)
• Proficient Python, ability to read and reason about the dYdX protocol (Go) and indexing (TypeScript) code
• Familiarity with data visualization tools for reporting and insights
• Solid understanding of ETL processes, data modeling, and data warehousing principles
• Strong problem-solving skills with a keen attention to detail
• Effective communication and collaboration skills
• Excellent project management and multitasking abilities
• Curiosity-driven mindset, focused on asking questions, understanding data, and forming hypotheses

NICE TO HAVES:

• Familiarity with cloud data platforms (e.g., AWS, GCP, Azure)
• Understanding of machine learning and data science methodologies
• Experience or knowledge in trading, particularly high-frequency trading (HFT), market structure, and derivatives
• Passion for DeFi and web3, with specific interest in dYdX and a proven track record
• Relevant certifications in data engineering or analytics

Salary range for this job is $190K to $240K USD (NY). Compensation subject to experience and location. Published salary bands pursuant to transparency laws, and do not include possible variable compensation such as annual merit increases, bonus eligibility, commission, or equity incentive.