Senior Software Engineer​/Software Engineer III; Data Engineering

Role summary

Workday is seeking a Senior Software Engineer/Software Engineer III with a focus on Data Engineering. This role involves contributing to data ingestion, discoverability, governance, derivation, and serving for machine learning and agentic initiatives. The position requires proficiency in programming languages like Python, Java, or Scala, and experience with data engineering technologies such as Spark, Iceberg, Kafka, and cloud infrastructure like AWS or GCP.

The role emphasizes working in a collaborative, agile environment to build innovative data solutions and requires experience in delivering services from code to production, including CI/CD, testing, and production support.

Your work days are brighter here.

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.

It's fun to work in a company where people truly believe in what they're doing. At Workday, we're committed to bringing passion and customer focus to the business of enterprise applications. We work hard, and we're serious about what we do. But we like to have a good time, too. In fact, we run our company with that principle in mind every day:
One of our core values is fun.

Would you like to be part of an innovative, agile force architecting intelligent agents that will revolutionize our customers' workday? Join the Data Management & Enrichment team, where we're pioneering data ingestion, surfacing, and retrieval products to deliver ML focused products.

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.

You are a highly motivated and skilled Software engineer with a passion for data engineering and machine learning. You strive to apply technology to drive real impact on Workday's business initiatives. You thrive in a collaborative environment, working closely with your colleagues to deliver innovative solutions. You possess excellent communication skills, actively listening to understand different perspectives and effectively conveying technical ideas.

You are eager to contribute to a high‑performing team and are driven to continuously learn and grow in the ever‑evolving world of Distributed Systems, Data Engineering, and Machine Learning.

• 7+ years of experience in Software Engineering, Distributed Systems or a related field
• 4+ years proficiency in at least two of the following programming languages:
  Java, Scala, Python
• 4+ 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

• 5+ years of experience in Software Engineering, Distributed Systems or a related field
• 4+ years proficiency…