ZORA

Lead Data Engineer

ZORA

full-time

Posted on:

Location Type: Remote

Location: Remote • 🇺🇸 United States

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Salary

💰 $185,000 - $225,000 per year

Job Level

Senior

Tech Stack

AirflowAmazon RedshiftAWSAzureBigQueryCloudETLGoogle Cloud PlatformPythonSQL

About the role

  • Design and build scalable data pipelines to ingest, process, and transform blockchain data, trading events, user activity, and market signals at high volume and low latency
  • Architect and maintain data infrastructure that powers real-time trading analytics, P&L calculations, leaderboards, market cap tracking, and liquidity monitoring across the platform
  • Own ETL/ELT processes that transform raw onchain data from multiple blockchains into clean, reliable, and performant datasets used by product, engineering, analytics, and ML teams
  • Build and optimize data models and schemas that support both operational systems (serving live trading data) and analytical use cases (understanding market dynamics and user behavior)
  • Establish data quality frameworks including monitoring, alerting, testing, and validation to ensure pipeline reliability and data accuracy at scale
  • Collaborate with backend engineers to design event schemas, data contracts, and APIs that enable real-time data flow between systems
  • Partner with product and analytics teams to understand data needs and translate them into robust engineering solutions
  • Provide technical leadership by mentoring engineers, conducting code reviews, establishing best practices, and driving architectural decisions for the data platform
  • Optimize performance and costs of data infrastructure as we scale to handle exponentially growing trading volumes

Requirements

  • 7+ years of experience in data engineering, with at least 2 years in a technical leadership role
  • Strong proficiency in Python and SQL for building production data pipelines, complex data transformations and evolving data platforms, shared infrastructure, and internal tooling with engineering best practices.
  • Strong experience in designing, building, and maintaining cloud-based data pipelines using orchestration tools such as Airflow, Dagster, Prefect, Temporal, or similar.
  • Hands-on experience with cloud data platforms (AWS, GCP, or Azure) and modern data stack tools
  • Deep understanding of data warehousing concepts and experience with platforms like Snowflake, BigQuery, Redshift, or similar
  • Strong software engineering fundamentals including testing, CI/CD, version control, and writing maintainable, documented code
  • Track record of optimizing data systems for performance, reliability, and cost efficiency at scale
  • Excellent communication skills and ability to collaborate with cross-functional teams including product, engineering, and design.
Benefits
  • Remote-First Culture: Work from anywhere in the world!
  • Competitive Compensation: Including salary, pre-IPO stock options, token compensation, and additional financial incentives
  • Comprehensive Benefits: Robust healthcare options, including fully covered medical, dental, and vision for employees
  • Retirement Contributions: Up to 4% employer match on your 401(k) contributions
  • Health & Wellness: Free memberships to One Medical, Teladoc, and Health Advocate
  • Unlimited Time Off: Flexible vacation policies, company holidays, and recharge weeks to prioritize wellness
  • Home Office Reimbursement: To cover home office items, monthly home internet, and monthly cell phone (if applicable)
  • Ease of Life Reimbursement: To cover everything from an Uber home in the rain, childcare, or meal delivery
  • Career Development: Access to mentorship, training, and opportunities to grow your career
  • Inclusive Environment: A culture dedicated to diversity, equity, inclusion, and belonging

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
data engineeringPythonSQLETLELTdata modelingdata quality frameworkscloud data platformsdata warehousingCI/CD
Soft skills
technical leadershipmentoringcollaborationcommunicationproblem-solvingcode reviewsbest practicescross-functional teamworkarchitectural decision-makingperformance optimization