Experience a new way to work with Sana and agentic AI from Workday. Backed by Greylock, NEA and Menlo.
About the role
In this role, you will contribute to the ingestion, discoverability, governance, derivation, and serving of data for Workday's Classic Machine Learning and agentic initiatives. You'll be working hands-on with technologies like Python, Spark, AWS Infra, Kafka, Terraform/Kubernetes, and Iceberg.
What they're looking for
- BSc or MSc in Computer Science/Computer Engineering or equivalent experience
- 10 + years of experience in Software Engineering, Distributed Systems or a related field
- 6+ years proficiency in at least two of the following programming languages: Java, Scala, Python
- 6+ years in data engineering or related field(s)
- Working knowledge of cloud-based infrastructure and managed services (AWS, GCP)
- Experience with at least one of these data engineering technologies: Apache Spark, Apache Iceberg, Apache Avro, Apache Kafka, Apache Flink
More about this role
We’re obsessed with making hard work pay off, for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we’re shaping the future of work so teams can reach their potential and focus on what matters most. The minute you join, you’ll feel it. Not just in the products we build, but in how we show up for each other. Our culture is rooted in integrity, empathy, and shared enthusiasm. We’re in this together, tackling big challenges with bold ideas and genuine care. We look for curious minds and courageous collaborators who bring sun-drenched optimism and drive. Whether you're building smarter solutions, supporting customers, or creating a space where everyone belongs, you’ll do meaningful work with Workmates who’ve got your back. In return, we’ll give you the trust to take risks, the tools to grow, the skills to develop and the support of a company invested in you for the long haul. So, if you want to inspire a brighter work day for everyone, including yourself, you’ve found a match in Workday, and we hope to be a match for you too.
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