Data Science Web3 Jobs in New York, New York, United States

The Role

As a Data Engineer, you’ll be working alongside our internal research and product teams to expand and optimize our data ingestion and data pipeline architecture. You’ll be responsible for supporting the data needs of our analyst’s research initiatives and will ensure that our data delivery architecture is consistent across ongoing research efforts. Your mission is to ensure our analysts can access data in a smooth and seamless way.

This position is a full-time role. We are currently a remote company and are open to any remote candidates. Our team is distributed around the world and has the processes in place for productive remote work, but we meet up in person as often as possible.

What you'll do

• You are familiar with Python, SQL (familiarity with Dune Analytics preferred) and version control systems (Git)
• Build the infrastructure required for optimal extraction, transformation, and loading of data from different blockchains. Comfortable interacting with various APIs, and raw blockchain queries preferred.
• You’ll be responsible to assist with coding, designing, deploying and debugging Python tools for data aggregation, processing, and analysis
• Further automate internal data analysis processes and level up Messari’s data science efforts.
• Collaborate on developing, automating, and supporting data pipelines to extract, transform, and load data.

Who you are

• You live and breathe crypto. The more degen the better!
• Deep understanding of blockchain infrastructure for data extraction from EVM and non-EVM chains is a big plus
• Familiarity with programming languages (Python) and version control software (Git) is required for the position.
• You’ve previously shipped end-to-end data pipelines in a (preferably cloud-based) production environment
• Fundamental understanding of protocol mechanisms is required for this position.
• The ideal candidate has advanced working SQL and GraphQL knowledge and experience building processes supporting data transformation, data structures, and workload management.