Backend Engineer (Data Engineering)

As a Backend Engineer (Data Engineering) at Maze, you'll be the technical architect behind our data infrastructure, building production-grade data pipelines that process massive volumes of security data at scale. Requirements • 7+ years of software engineering experience with at least 4+ years focused specifically on data engineering • Production experience with Python, Apache Kafka, and Apache Spark • Strong expertise with AWS data services including S3, EMR, and building data lakes at scale • Proven experience with Apache Iceberg, data lakehouse concepts, and building distributed data systems • Exceptional care and precision in data ingestion and transformation work Benefits • Direct partnership with experienced infrastructure and engineering teams • Significant equity upside • Opportunity to own the data engineering function as we scale from startup to handling the world's largest security datasets