Posted Oct 23, 2026

Senior Data Engineer

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Who you are 5+ years of extensive experience building and scaling data infrastructure in high-growth environments Proven experience in startup environments with track record of wearing multiple hats and driving initiatives independently Deep expertise in modern data stack tools, particularly Snowflake and dbt Strong background in data modeling, schema design, and data architecture at scale Demonstrated experience implementing data quality frameworks and observability solutions Experience building and scaling experimentation (A/B testing) infrastructure Expert-level SQL skills and proficiency in Python Track record of successfully managing data infrastructure during periods of explosive growth Experience with our tech stack: Snowflake, dbt, Rudderstack, Sigma Computing, Metaplane, Eppo Experience with blockchain or cryptocurrencies History of improving dashboard performance and query optimization at scale Experience implementing data cataloging and metadata management solutions This ideal candidate will be a seasoned data professional who can architect solutions for our next phase of growth while maintaining the highest standards of data quality and performance, thriving in a lean two-person data team where resourcefulness and ability to prioritize high-impact work is essential What the job involves In this role, you will see a direct correlation between your work, company growth, and our users’ satisfaction Beyond this, you will work with some of the brightest minds in the web3 space, and you'll have a unique opportunity to solve some of the most interesting data challenges with efficiency and integrity, at a scale few web3 companies can match Modern Data Stack: Snowflake / dbt / Rudderstack / Python / SQL / Sigma / Metaplane / Eppo Architecture & Scale: Design and implement robust data architecture capable of handling 100s of TBs with 10x growth trajectory while maintaining performance and reliability Data Quality Leadership: Drive data quality initiatives across the organization, implementing observability and monitoring solutions to ensure data accuracy, freshness, and reliability Data Modeling Excellence: Lead sophisticated data modeling efforts to support exponential business growth, ensuring scalability and performance Experimentation Infrastructure: Build and scale A/B testing frameworks to enable data-driven decision making across the organization Cross-functional Partnership: Collaborate with stakeholders to translate complex business requirements into scalable data solutions Technical Leadership: Mentor teams on data best practices and drive adoption of data-driven methodologies Benefits Daily meal benefit Unlimited PTO Comprehensive health plans Learning & development Montlhy wellness benefit Global company offsites