Senior Software Engineer​/Software Engineer III; Data Engineering

Join Workday

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.

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 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

• BSc or MSc in Computer Science/Computer Engineering or equivalent experience
• Experience in delivering a service from writing code to deploying in production: continuous integration (Jenkins), virtualization (Docker), orchestration (Kubernetes, Terraform)
• Experience creating scalable service endpoints to retrieve data
• Track record of working with logging, monitoring, metrics, stats technologies, such as:
  Grafana, Prometheus, Kibana, Hive, etc
• Proficient collaborating with teammates to design, maintain and improve sophisticated object-oriented software following clean code standard methodology
• A testing/quality approach - unit, system/integration and end-to-end testing, TDD, feature toggles, and canary deployments
• Exposure to operating system concepts covering memory and storage, threading and concurrency, networking and sockets, and process management
• An understanding and experience with topics related to performance and scale, security, availability, deployment and operations
• Experience being responsible for a service in production with experience of production triage and on-call.