Fraud Data Engineer: Scale Cloud Pipelines & Insights

Q2, based in Austin, Texas, is seeking a data engineer to build and operate data architecture for our Risk & Fraud team. The successful candidate will design scalable data pipelines, support fraud analytics, and collaborate with teams to translate requirements into data solutions. A Bachelor's degree and 2 years of experience are typically required, alongside proficiency in SQL and Python. This position offers flexible time off, health benefits, and hybrid work opportunities.
#J-18808-Ljbffr