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Data Engineer

L

Layerzerolabs

📍 Vancouver, BC, Canada💰 $91k - $100k🕐 Posted 2 weeks ago
Data EngineerOnsitemulti-chainbridgespythonsqlsnowflakeairflowawsdockergopostgres
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Job Description

About Us

LayerZero's vision is to create a community of cross-chain developers, building dApps that are no longer constrained by individual blockchain capabilities. With our simple, generic messaging protocol, builders will develop cross-chain dApps designed to unify the power of individual blockchains. We have built and launched Stargate, a fully composable native asset bridge that allows users to swap assets securely and without additional fees.

About the Role

At LayerZero, we're building the future of omnichain interoperability — and data is at the heart of it. Our systems generate vast amounts of on-chain and off-chain data that is critical for business decisions, real-time monitoring, developer tools and user experiences. As a Data Engineer, you'll design and operate the pipelines and platforms that make our expanding sea of data reliable, accessible, and actionable.

Responsibilities

  • Build pipelines: Design, implement, and maintain reliable batch and real-time data pipelines to process blockchain, system and 3rd party data
  • Model data: Apply Kimball dimensional modeling and SQL best practices to create performant, API and analytics-ready datasets
  • Scale infrastructure: Leverage Snowflake, Postgres, Airflow, AWS (CDK), and Docker to deliver highly available, cost-effective data solutions
  • Enable insights: Partner with analysts, engineers, and product teams to make complex data accessible through APIs, dashboards, and BI tools like Hex
  • Ensure quality: Drive data integrity through monitoring, testing, validation, and documentation
  • Optimize performance: Tune queries, pipelines, and infrastructure for speed and efficiency

Technologies

Modern data stack includes Snowflake, Postgres, Airflow, AWS, Docker. Pipelines built in Python, high-performance systems in Go. Work with SQL, Docker, and blockchain/Web3 data processing systems.

Requirements

  • 5+ years of experience building scalable data systems as a data engineer or similar role
  • Experience performing and communicating strategic data analysis
  • Experience leading and influencing the data strategy of your team or organization
  • Strong SQL and data modeling skills (Kimball or similar)
  • Experience with modern data warehouses (Snowflake, Redshift, BigQuery, etc.)
  • Proficiency in Python or Go for pipeline development
  • Familiarity with orchestration tools (Airflow or equivalent)
  • Experience deploying and operating in AWS and containerized environments
  • Curiosity about Web3 and excitement to work on novel data problems

Nice to Have

  • Experience with real-time streaming pipelines
  • Exposure to blockchain data and Web3 technologies
  • Experience designing APIs or integrating external data sources
  • Infrastructure operations experience (CDK, Terraform or similar)

What We're Looking For

We seek a passionate data professional who thrives on solving complex problems, building scalable systems, and turning messy data into clear, actionable insights. You'll be motivated by working in a fast-moving environment where your work directly shapes how teams, products, and protocols operate.