Senior/Principal Data Engineer

About Paradex

Paradex isn't just another decentralized exchange; it's the Everything Store for Finance. We've combined three powerful financial primitives—Exchange, Asset Management, and Borrow/Lend—all seamlessly composable and accessible through one unified account that uses your entire portfolio as collateral, including spot and derivative assets. Trade 250+ markets on a super exchange with zero fees, better-than-CEX liquidity, and institutional-grade privacy, all built on a blazingly fast blockchain.

Backed by top-tier investors and incubated by Paradigm, we're scaling fast and building a team of mission-driven engineers to redefine what's possible in decentralized finance. We have no product managers, no managers, no 1:1s at Paradex. No bullshit. Just code. You'll work directly with our CEO and a small, elite team of builders in the trenches every day, pushing the limits of performance and UX.

Fair warning: this is not an easy place to work. We will push you hard. But you'll grow faster than you thought possible, and you'll do some of the most meaningful, high-impact work of your life. You'll own what you ship end to end, tackle real technical challenges (not just UX tweaks), and help shape the future of decentralized finance. Join us on the frontline.

Quick Facts

• $200+ Billion Lifetime Volume
• $1.2+ Billion Average Daily Volume
• $200+ Million Total Value Locked
• Paradex is committed to building transparently in public

The Role

As a vital member of our data engineering team, you'll architect and implement robust data infrastructure that transforms raw data into actionable insights. You'll work on building scalable pipelines and data models that power critical decision-making across the organization. Your expertise will be crucial in establishing data best practices and ensuring data quality, accessibility, and reliability throughout our systems.

Responsibilities

• Design and build scalable data pipelines, ETL processes, and data warehousing solutions that handle complex data requirements.
• Improve data infrastructure performance, implement data quality measures, and develop automated monitoring systems.
• Partner with product, engineering, and go-to-market teams to deliver data solutions that drive strategic insights.
• Quickly address time-sensitive data needs and ad-hoc requests from stakeholders, turning around critical analyses and data solutions with urgency while maintaining accuracy.

Requirements

• 7+ years of data engineering experience
• Deep knowledge of data modeling, warehouse design, and ETL best practices.
• Proficiency with modern data stack (Snowflake, Airflow, DBT) and AWS.
• Experience with distributed systems, data streaming (Kafka, Kinesis), and optimization of large-scale data workflows.
• Proven track record of efficiently tackling urgent data requests and providing quick solutions to business-critical data needs.

Benefits

• Competitive pay at top-tier industry compensation levels
• Unlimited vacation
• Comprehensive benefits packages tailored by country
• $3,000 USD tech budget for first-year setup
• No manager 1:1s and no bullshit meetings