As a Data Engineer, you'll play a critical role in building and maintaining our data infrastructure and pipelines across our liquid and investing activities. This includes designing and building ETLs, optimizing research and transaction infrastructure, and implementing APIs for data querying and access. Reporting directly to the Data Engineering Lead you'll support the strategy and execution of data acquisition to enable internal research and externally facing data projects. You'll serve as a key partner across the organization, delivering internal data projects such as dashboarding and visualizations to improve investing performance.

The ideal candidate will have experience in designing and building data pipelines and APIs, with a strong foundation in data modeling, database design, and query optimization. Think data engineer with a software engineering lens, you can design and build software beyond data pipelines (you know the difference). You'll have a passion for working with large datasets and a desire to leverage data to drive business insights and support decision-making. As a fast-moving crypto-native firm, we have a lot of activities and both ingest and create a lot of data—working closely with our Data Engineering Lead you will execute high impact work across data-related activities for the firm. This is a full time fully remote position with preference for EST working hours.

About you

• You thrive in less structured environments and are at your best when driving and delivering results with the freedom to build and execute your own plan.
• You are as excited by starting a project as completing, maintaining, and continually optimizing it.
• You find the plethora of opportunities to leverage data to drive value for the firm exciting versus overwhelming

Required Experience

• Building and managing data pipelines on bare metal outside of pure cloud infrastructure (AWS, Azure, GCP, etc.)
• Hands-on experience from beginning to end of a shipped working product (i.e., you’re an experienced builder)
• Substantive experience building and maintaining enterprise data systems, ETL frameworks, & pipelines
• Excellent Python and SQL skills
• Familiarity with APIs (REST, Websockets, etc)
• Experience beyond testing (e.g. quality processes, verification & validation)
• Experience in configuring and managing cloud infrastructure (preferred AWS)