Senior Data Engineer

About the Role You will architect and build data pipelines and become an expert of the data you are building for. You will design, develop, and maintain scalable ETL/ELT pipelines for structured and unstructured data. You will build and optimize data solutions using Databricks, Apache Spark, and AWS. You will write high quality, maintainable Python code following data engineering best practices. You will understand the meaning of the data you are building for by engaging with data consumers. You will create and maintain data models, data quality and monitoring processes. You will improve performance, reliability, and scalability of existing data infrastructure. You will troubleshoot data issues and implement solutions to ensure data accuracy and availability.

Requirements 5+ years of experience, preferably in the FinTech space Deep proficiency in Python for data processing, automation, and pipeline development Strong SQL skills and experience working with large-scale datasets Hands on experience with efficient use of AI coding platforms to elevate productivity; this role requires more than a vibe coder Hands on experience developing, and maintaining high performance modern lakehouse architectures A humble and scrappy get-it-done mindset; you’re resourceful and in your element going from 0 to 1 Excellent problem solving skills - can troubleshoot complex systems Comfort with ambiguity; the ability to independently lay out and test clear hypotheses and solve problems without well-defined direction Excellent verbal and written communication skills Bachelor's degree in Computer Science, Data Engineering, or a related field Hands-on experience with Databricks and Apache Spark. Experience with digital assets and blockchain Experience at a banking-as-a-service, brokerage-as-a-service, payment-as-a-service business

Responsibilities Design, develop, and maintain scalable ETL/ELT pipelines for structured and unstructured data Build and optimize data solutions using Databricks, Apache Spark, and AWS Develop high-quality, maintainable code using Python and data engineering best practices Collaborate with product teams and business stakeholders to understand the meaning of the data you are building for Create and maintain data models, data quality and monitoring processes Improve performance, reliability, and scalability of existing data infrastructure Troubleshoot data issues and implement solutions to ensure data accuracy and availability

Benefits Healthcare Insurance: zerohash covers roughly 100% of employee premiums as well as a portion of spouse/children (U.S. only) Vision & Dental Insurance (U.S. only) Chance to earn equity Maternity & Paternity leave (after 6 months) WeWork All Access Membership WFH Yearly Stipend L&D Yearly Stipend (after 6 months) Senior Software Engineer (Streaming Data Pipeline) Covalent · 1 day ago Data Engineer Data and Analytics Sardine · 1 day ago Staff Engineer, Embedded Finance & AI Reap · 1 day ago Staff Data Platform Engineer Crystal Blockchain B.V. · 3 days ago Senior Software Engineer, Custody Paxos · 1 week ago Senior Software Engineer (Streaming Data Pipeline) Covalent · 1 day ago Data Engineer Data and Analytics Sardine · 1 day ago Staff Engineer, Embedded Finance & AI Reap · 1 day ago Staff Data Platform Engineer Crystal Blockchain B.V. · 3 days ago Senior Software Engineer, Custody Paxos · 1 week ago