Senior Data Engineer

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Job Description

At Paradigm, we are revolutionizing the future of finance! By joining us during this foundational phase, you’ll be instrumental in building state-of-the-art, distributed financial service infrastructure that aims to transform financial services across CeFi and DeFi markets.

About Paradigm

Paradigm is a zero-fee, institutional liquidity network for derivatives traders in both CeFi and DeFi spaces. We provide seamless access to multi-asset, multi-protocol liquidity on demand without compromising execution preferences, costs, or immediacy. With a robust network of over 1000 institutional clients trading upwards of $10 billion monthly, we have established the largest institutional counterparty network in crypto. Our diverse, global team is driven by core organizational principles and united by our mission to deliver on-demand liquidity for traders, anytime and anywhere, without concessions. We also aim to deliver results faster than anyone in the industry! Supported by leading traders and investors like Jump Capital, Genesis Trading, Dragonfly Capital, and many others, our ecosystem is thriving.

Your Mission

As a key member of our data engineering team, you will design and deploy resilient data infrastructure, converting raw data into actionable insights. You’ll build scalable pipelines and data models essential for strategic decision-making within the organization. Your expertise will be central to creating best practices for data quality, accessibility, and reliability across our systems.

What You’ll Do

  • Design & Build: Develop and sustain scalable data pipelines, ETL processes, and data warehousing solutions to manage complex data needs.
  • Optimize & Scale: Enhance performance of data infrastructure, implement data quality measures, and create automated monitoring systems.
  • Empower & Enable: Collaborate with product, engineering, and go-to-market teams to deliver data solutions that facilitate strategic insights.
  • Rapid Response: Swiftly handle urgent data requirements and ad-hoc requests from stakeholders, producing critical analyses and data solutions promptly and accurately.

What You’ll Bring

  • Expertise: Over 7 years of data engineering experience.
  • Data Architecture: Profound 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 optimizing large-scale data workflows.
  • Agility: Proven track record in efficiently addressing urgent data requests and providing swift solutions to business-critical data needs.

Your Perks & Benefits

  • Competitive Pay: Top-tier compensation within the industry.
  • Generous PTO: Unlimited vacation time.
  • Full Benefits: Comprehensive packages customized by country.
  • Technology & Learning Allowances: $3,500 USD for your first-year setup, a $2,000 USD refresh every 2 years, plus $1,000 USD annually for learning and development.

Paradigm is an equal opportunity employer.

Paradigm

Industry: Finance

Company size: 51-200 employees

Job Details

  • Department: Analytics
  • Position type(s): Full-Time
  • Location: Singapore
  • Posted: 6 months ago

Compensation

  • Salary not specified
  • Equity not specified

Keywords

Data Engineering AWS ETL Snowflake Airflow Distributed Systems

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Last updated: January 24, 2025