Lead Data Engineer Jobs

Lead Data Engineer

Zora

Location:
United States

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

185000.00 - 225000.00 USD / Year

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Job Description:

We're looking for a Lead Data Engineer to build the data infrastructure that powers our Trade Platform. As our onchain social network scales, robust data systems are critical to processing billions of trading events, calculating real-time earnings, optimizing liquidity, and surfacing the right trading opportunities to our users. You'll work at the intersection of blockchain data, high-volume trading systems, and consumer social products to build the data foundation that drives our creator economy. This is a high-impact role where you'll own the end-to-end data architecture for trading, from analyzing blockchain events and user activity to serving real-time analytics to millions of users.

Job Responsibility:

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

Nice to have:

Familiarity with DeFi, trading platforms, or financial systems and understanding of concepts like liquidity, orderbooks, and market dynamics
Experience working with blockchain data (e.g. event logs, on-chain indexing) and EVM-compatible chains (Ethereum, Base, etc.)
Experience with dbt (macros, incremental models, canonical modeling, and schema management) for large-scale data systems.
Experience with Dune Analytics for querying and visualizing blockchain data.
Experience with streaming data and event-driven architectures using tools like Kafka, Kinesis, Flink, or similar
Experience using tools to manage tasks and across teams such as Linear, Jira, Trello.
Understanding of product analytics frameworks such as funnel analysis, feature flags, A/B experiments, and how they drive product development and data architecture.
Knowledge of GraphQL APIs and how to build data systems that power them
Background in marketplace or two-sided platform data engineering
Passion for crypto, Web3, and the creator economy

What we offer:

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

Additional Information:

Job Posted:
December 14, 2025

Employment Type:

Fulltime

Work Type:

Remote work

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