Senior/Principal Data Engineer
Paradex · Singapore, Singapore ·
- Seniority
- Principal
- Category
- Data engineering
- Experience
- 7+ years
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Paradex, a decentralized exchange incubated by Paradigm, is hiring a Senior/Principal Data Engineer in Singapore to design scalable data pipelines, ETL, and warehouse infrastructure using Snowflake, Airflow/DBT, AWS, and Kafka/Kinesis, powering analytics and decision-making across the organization.
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
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.
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