Data Engineer

Job Description

Paradigm is seeking a Data Engineer to join its team. The Data Engineer will be responsible for architecting and implementing robust data infrastructure that transforms raw data into actionable insights. The ideal candidate will have a deep understanding of data modeling, warehouse design, and ETL best practices.

Paradigm is a zero-fee, institutional liquidity network for derivatives traders across CeFi and DeFi. Paradigm provides unified access to multi-asset, multi-protocol liquidity on demand without compromising on execution preferences, costs, and immediacy.

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.

What Paradigm Offers:

• 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.