Our crypto wallet is used by millions of people and provides a single, convenient solution for managing all your accounts and tokens across Solana, Ethereum, and Polygon. As a data engineer at Phantom 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.

Snowflake / dbt / Rudderstack / Real-time Data Streaming / Python / SQL

Responsibilities

Architect: Design, build and launch extremely efficient and reliable data pipelines (ETL) to move data across a number of platforms including third party analytics, frontend & backend systems.
Educate teams: Use your data and analytics experience to see what’s missing, and identify and address gaps in their existing systems and processes.
Partnership: Partner with stakeholders to understand business requirements, work with cross-functional data and products teams and build efficient and scalable data solutions
Data: Manage the delivery of high-impact dashboards, tools, and data visualizations

Qualifications

5+ years of experience in SQL or similar languages, and development experience in at least one language (Python, Javascript, etc.)
5+ years of experience in the data warehouse space, custom ETL design, implementation, and maintenance.
Experience in leading data-driven projects from definition through interpretation and execution
Experience with data architecture, data modeling, schema design, and software development
Experience working with cloud analytics platforms and tools, specifically Snowflake, dbt, and Rudderstack
Bonus: Experience with blockchain or cryptocurrencies, real-time data streaming, and startup environments.
This role is fully remote; however, we’re only open to candidates based in US and EU time zones.

The target base salary for this role will range between $150,000 to $250,000 with the addition of equity and benefits. This is determined by a few factors including your skillset, prior relevant experience, quality of interviews and market factors at the point in time of offer.

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Senior Data Engineer