Description
ZAGENO is hiring a full-time, mid-level Data Engineer to own the reliability, correctness, scalability, and observability of operational data pipelines powering its life sciences catalog. The role includes reducing technical debt, building low-latency APIs and CDC synchronization, implementing monitoring and automated testing, translating business requirements into durable pipeline logic, and owning deployment and incident response. Required qualifications include at least three years of data engineering experience, strong Python and SQL, production experience with Databricks, Delta Lake, and Airflow, CDC and API experience, and a test-driven development discipline. Preferred qualifications include Kafka, entity matching, master data management, production ML pipeline support, and NLP techniques.
