Senior Data Engineer UTXO

The engineering team at Chainalysis is inspired by solving the hardest technical challenges and creating products that build trust in cryptocurrencies. We’re a global organization with teams in Denmark, UK, Canada, the USA who thrive on the challenging work we do and doing it with other exceptionally talented teammates. Our industry changes every day and our job is to create user-facing products supported by a flexible and scalable data platform allowing us to adapt to those rapid changes and bring value to our customers. Data Engineers in the UTXO Clustering team strike a balance between forward-looking software engineering best practices, data science and data engineering. This team partners with data scientists, research and product teams, helping architect, create and maintain data pipelines for clustering based on heuristics and other data intelligence methods for Bitcoin, Litecoin, and other UTXO networks. This role requires a desire to deeply understand blockchain data protocol schemas and nuances, and build scalable AWS ingest pipelines, lambdas and services. We measure success by the coverage of data clustered for the various Chainalysis products. In this role, you’ll: • Create tools for better data provenance of our clustering data sets and to support ongoing heuristic creation and law enforcement cases for different government agencies. • Work closely with product management and our investigations team to provide data provenance services and data to our investigators, customers, and product suite. • Design ETL pipelines to streamline ground truth intelligence and other seed data into our heuristics and then our product suites. • Automate reporting of auditable data to our Investigations team. We’re looking for candidates who have: • Experience building data pipelines, lakes, and streaming services. • Experience with cloud infrastructure (AWS, GCP, etc.). • Experience creating deterministic algorithms and business logic for large-scale data systems. • Understanding of efficient data structures, algorithms, and computational complexity. • Experience planning, building, and owning production systems. • Experience with SQL and object-oriented programming languages.