Job Description
About the Team
A data engineering team focused on AI/MLOps to ingest, compute, and surface data for key Workday applications. About the Role
Contribute to a cloud ops platform enabling ingestion of data, computation, and aggregation to produce curated data sets and surface these sets to Workday front‑end components or as embedded contextual data for AI/ML inference and agentic workflows. Technologies include Kubernetes, Spark, Python, Java, Terraform, Iceberg, EMR, SageMaker. Basic Qualifications (Senior Software Engineer)
6+ years of experience in software engineering, distributed systems, or a related field. 3+ years proficiency in at least two of Java, Scala, Python. 3+ years in cloud engineering or related field(s). Working knowledge of cloud‑based infrastructure and managed services (AWS, GCP). Experience with at least one of Apache Spark, Apache Iceberg, Kubernetes, Terraform, AWS Cloud Infrastructure. Basic Qualifications (Software Engineer)
3...
A data engineering team focused on AI/MLOps to ingest, compute, and surface data for key Workday applications. About the Role
Contribute to a cloud ops platform enabling ingestion of data, computation, and aggregation to produce curated data sets and surface these sets to Workday front‑end components or as embedded contextual data for AI/ML inference and agentic workflows. Technologies include Kubernetes, Spark, Python, Java, Terraform, Iceberg, EMR, SageMaker. Basic Qualifications (Senior Software Engineer)
6+ years of experience in software engineering, distributed systems, or a related field. 3+ years proficiency in at least two of Java, Scala, Python. 3+ years in cloud engineering or related field(s). Working knowledge of cloud‑based infrastructure and managed services (AWS, GCP). Experience with at least one of Apache Spark, Apache Iceberg, Kubernetes, Terraform, AWS Cloud Infrastructure. Basic Qualifications (Software Engineer)
3...
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