Data Engineer at AI Foundation

Europe

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Blockchain, Web3Industries

Requirements

Candidates should possess a Bachelor’s degree in Computer Science, Data Science, or a related field, and have at least 3 years of experience in data engineering, with a strong focus on building and maintaining data pipelines. Experience with SQL and ETL tools is essential, along with proficiency in Python for scripting and automation. Familiarity with blockchain data and Web3 analytics tools is highly desirable.

Responsibilities

As a Data Engineer at Arbitrum Foundation, you will design and implement scalable data pipelines to ingest, transform, and store data from various sources, including blockchain data and other analytics platforms. You will build and maintain a centralized data warehouse, develop and optimize SQL queries for data extraction and reporting, create and maintain dashboards for data visualization, ensure data accuracy and reliability through validation processes, automate data processes, and integrate Web3 analytics tools to provide blockchain data insights. Furthermore, you will assess leads from a technical and data standpoint, focusing on the technical team capabilities and timeline credibility.

Skills

SQL

BigQuery

PostgreSQL

Python

ETL

Airbyte

Fivetran

Dune Analytics

Allium

Flipside

AI Foundation

Empowers individuals with ethical AI tools

About AI Foundation

AI Foundation focuses on using artificial intelligence to empower individuals and protect communities. They provide tools and platforms that educate users about AI and help combat misinformation, with their main product, Reality Defender, aimed at establishing trust in AI-powered media. Unlike many competitors, AI Foundation emphasizes making AI accessible to everyone, rather than allowing a few corporations to control it. Their goal is to democratize AI, ensuring it serves as a positive tool for change while promoting social responsibility and ethical use.

San Francisco, CaliforniaHeadquarters

2017Year Founded

$27MTotal Funding

SERIES_BCompany Stage

Cybersecurity, AI & Machine Learning, EducationIndustries

11-50Employees