Zingtree, a leading intelligent process automation platform serving over 500 customers including global enterprises like Optum, Corpay, Sony, SharkNinja, and Allianz, is seeking a Senior Data Engineer to join their team. This role offers an exciting opportunity to design and build scalable data processing systems and analytics platforms that will directly impact the company's growing data infrastructure needs.
The position involves leading the development of robust, in-house data infrastructure solutions, working with cutting-edge technologies like Apache Druid, Spark, and Kubernetes. You'll be responsible for architecting new data processing frameworks, optimizing data pipelines, and implementing real-time analytics capabilities for clickstream data.
As a Senior Data Engineer, you'll collaborate closely with backend engineering teams in a modern tech stack including Go and Kubernetes. The role requires expertise in large-scale systems, data infrastructure design, and a strong background in database technologies and SQL optimization. Experience with cloud infrastructure (AWS), stream processing, and real-time analytics frameworks is essential.
The position offers attractive benefits including competitive compensation, equity options, comprehensive health insurance, unlimited PTO, and flexible remote work arrangements. With a $500 home office setup allowance and monthly stipends for internet and co-working spaces, Zingtree ensures you have the resources needed to work effectively from anywhere.
This is an ideal opportunity for an experienced data engineer who wants to make a significant impact in a growing company while working with modern technologies and helping shape the future of customer experience operations.