Back to jobs
Senior Data Engineer
Singapore
At Paradigm, we are changing the future of finance! By joining us at this early stage, you’ll be building cutting-edge, distributed financial service infrastructure that will reshape financial services across CeFi and DeFi markets.
About Paradigm
- Paradigm is a zero-fee, institutional liquidity network for derivatives traders across CeFi and DeFi.
- We provide unified access to multi-asset, multi-protocol liquidity on demand without compromising on execution preferences, costs, and immediacy.
- We’ve built the largest network of institutional counterparties in crypto, with over 1000 institutional clients trading over $10 B per month.
- We are a diverse, global team led by our organizational principles and united by our mission to bring on-demand liquidity for traders, anytime and anywhere, without compromises. We also strive to ship faster than anyone else in the industry!
- We are backed by the best traders and investors in the space, including Jump Capital, Genesis Trading, Dragonfly Capital, QCP Capital, Optiver US, IMC, GSR Markets, Akuna Capital, Fidelity Digital Assets CMT Digital, Goldentree Asset Management, Amber Group, OK Group, Bybit Fintech, and CoinShares.
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.
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.
- Technology & Learning Allowances: 3,500 USD for your first-year setup, $2,000 USD refresh every 2 years, plus $1,000 USD annually for learning and development.
Paradigm is an equal opportunity employer.
Apply for this job
*
indicates a required field