Phantom
Senior Data Engineer
Phantom, San Francisco, California, United States, 94199
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.
Technologies
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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Technologies
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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