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Employer
About Q2
Q2 Holdings is a cloud-based banking software company providing digital banking solutions to banks, credit unions, and alternative financial companies, including consumer and business banking platforms. Industry: Financial Technology & Digital Banking
As a Senior Data Engineer on Q2’s Risk & Fraud team, you will design and maintain scalable data pipelines in the cloud to support fraud analytics and machine learning models. Your daily tasks include building clean datasets, enhancing observability through monitoring and optimization, and collaborating with product managers and data scientists to translate business requirements into technical solutions. You must have experience with SQL, Python, and data warehouses like Snowflake, as well as familiarity with tools such as Apache Airflow and Git for version control. Ideal candidates will also possess knowledge of distributed systems and cloud platforms, contributing to the development of robust fraud prevention solutions that directly impact customer security and operational efficiency.