Homeoffice Data Engineer

About Messari.Messari is the leading provider of crypto market intelligence products that help professionals navigate crypto/Web3 with confidence. We bring transparency and smarter qualitative and quantitative analytics to the industry by combining a global research database with a comprehensive suite of data visualization and asset discovery tools. We help drive smarter participation in crypto from individuals and institutions alike.The name “Messari” came from the Franciscan monks who declared "clean books" a moral imperative during the renaissance and pushed merchants to use proper accounting methods. This led to the flourishing of investment via "trust but verify" methods and industry growth throughout Europe. That's what we aim to do. Provide participants, investors, builders, platforms, and everyone else with reliable information to better participate in the crypto ecosystem.Our users range from some of the most prominent analysts, investors, and crypto individuals to top organizations including Coinbase, BitGo, Anchorage, 0x, Chainanalysis, Ledger, Compound, MakerDAO, and many more.The RoleWe’re looking for a Data Engineer to join Messari’s on-chain data team. This is a highly collaborative role where you will be working closely with our research, product, and engineering teams to drive our data modeling efforts and maximize the business impact. Your responsibilities include delivering end-to-end data products, designing processes, and introducing best practices to improve efficiency, as well as mentoring junior data analysts.As we are a crypto company working extensively with blockchain data, it would be a big plus if you are also familiar with crypto and have prior experience with blockchain data.What you'll do:

• Owning the data pipeline end-to-end, including data modeling, data visualization, and data quality.
• Designing and putting processes in place to improve operational efficiency.
• Design and build data models for blockchain data to transform low level (raw) data into high level metrics.
• Employs modern data tools and best practices to ensure data quality and consistency.
• Foster collaboration & knowledge sharing across business functions.
• Provide technical mentorship to junior team members.