We are actively searching for a Lead Data Engineer to join our team on a permanent basis. This role does require onsite work as you will be leading a team that is building a data product that will give insights to investors in the crypto and Web3 industry. In this role, you will be responsible for designing and building cutting-edge data analysis systems, building interactive dashboards and visualizations, analyzing and interpreting data, and collaborating with various teams to identify and resolve data-related issues. Design, develop and deliver data products to production, complying with internal data governance, security and scalability of our system Solve technical problems of the highest scope and complexity Exert significant influence on the company's analytical long-range goals and data architecture Define and extend our internal standards for style, maintenance, and best practices for a high-scale data platform Develop, design, create, modify, and/or test ETL pipelines or systems to support our Machine Learning and Analytics capabilities Collect, clean, and analyze data from our taxonomy and developer data. Monitor and track key performance indicators (KPIs) and metrics related to our data labeling, taxonomy management, and analysis processes. 7+ years of experience working with data at scale, including data engineering, business intelligence, data science, or related field ~7+ years experience using Python ~ Experience using big data technologies (Snowflake, Airflow, Kubernetes, Docker, Helm, Spark, pySpark)~ Experience with dimensional data modeling and schema design in Data Warehouses ~ Bachelor's Degree in Data Science or related Field