About the TeamWe're Platypus, an AI/ML-centered data engineering team and our goal is to ingest, manage, derive, and serve data across Workday's growing suite of AI/ML features. Right data, right time!
About the RoleIn 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.
About YouBasic Qualifications: (Required)- 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
Other Qualifications:- 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.
Workday Pay Transparency StatementThe annualized base salary ranges for the primary location and any additional locations are listed below. Workday pay ranges vary based on work location. As a part of the total compensation package, this role may be eligible for the Workday Bonus Plan or a role-specific commission/bonus, as well as annual refresh stock grants. Recruiters can share more detail during the hiring process. Each candidate's compensation offer will be based on multiple factors including, but not limited to, geography, experience, skills, job duties, and business need, among other things. For more information regarding Workday's comprehensive benefits, please click here.
Primary Location: USA.GA.Atlanta
Primary Location Base Pay Range: $182,400 USD - $273,600 USD
Additional US Location(s) Base Pay Range: $173,300 USD - $309,600 USD
Our Approach to Flexible WorkWith Flex Work, we're combining the best of both worlds: in-person time and remote. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. We know that flexibility can take shape in many ways, so rather than a number of required days in-office each week, we simply
spend at least half (50%) of our time each quarter in the office or in the field with our customers, prospects, and partners (depending on role). This means you'll have the freedom to create a flexible schedule that caters to your business, team, and personal needs, while being intentional to make the most of time spent together. Those in our remote "home office" roles also have the opportunity to come together in our offices for important moments that matter.
