Principal Data Engineer at Paradex

Singapore, , Singapore -

Full Time

Start Date

Immediate

Expiry Date

27 Apr, 26

Salary

0.0

Posted On

27 Jan, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Data Architecture, ETL, Data Warehousing, Data Modeling, AWS, Data Streaming, Kafka, Kinesis, Data Quality, Data Pipelines, Systems Thinking, Optimization, Agility, Technical Mastery

Industry

Financial Services

Description

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+ BiIlion Average Daily Volume $200+ Million Total Value Locked Paradex is committed to building transparently in public 👉 key platform stats Your Mission 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. What You’ll Do Design & Build: Create and maintain scalable data pipelines, ETL processes, and data warehousing solutions that handle complex data requirements. Optimize & Scale: Improve data infrastructure performance, implement data quality measures, and develop automated monitoring systems. Empower & Enable: Partner with product, engineering and go-to-market teams to deliver data solutions that drive strategic insights. Rapid Response: Quickly address time-sensitive data needs and ad-hoc requests from stakeholders, turning around critical analyses and data solutions with urgency while maintaining accuracy. What You’ll Bring Expertise: 7+ years of data engineering experience Data Architecture: Deep knowledge of data modeling, warehouse design, and ETL best practices. Technical Mastery: Proficiency with modern data stack (Snowflake, Airflow/DBT) and AWS. Systems Thinking: Experience with distributed systems, data streaming (Kafka/Kinesis), and optimization of large-scale data workflows. Agility: Proven track record of efficiently tackling urgent data requests and providing quick solutions to business-critical data needs. Your Perks & Benefits Competitive Pay: Top-tier compensation in the industry. Generous PTO: Unlimited vacation. Full Benefits: Comprehensive packages tailored by country. Tech' budget: 3,000 USD for your first-year setup. No manager 1:1s and no bullshit meetings.

Responsibilities

As a Principal Data Engineer, you will architect and implement robust data infrastructure and build scalable data pipelines that transform raw data into actionable insights. You will also ensure data quality and accessibility while partnering with various teams to deliver strategic data solutions.