Data Platform Engineer – High-Performance Data Cloud

Workday, Inc.; United States; Hybrid; USD 148,000 - 222,000; Full time

Job summary

Workday, Inc. is seeking a Data Platform Engineer to build and enhance the Data Cloud, focusing on data management and distributed processing. You’ll work on scalable algorithms and high-performance data crunching across large data volumes.

You’ll collaborate with a dedicated team to deliver robust, user-friendly data solutions, with a flexible hybrid work model that supports in-person and remote contributions.

Qualifications

• 4+ years software development experience in an object-oriented or functional language
• Bachelor's degree in Computer Science or MS in Computer Science or a relevant field
• Background in data warehousing, database system internals and/or distributed systems
• Good grasp of SQL
• Experience with one or more of: Kubernetes, Apache Spark and Spark SQL internals, Apache Iceberg and zero-copy architectures, Apache Polaris, Trino

Responsibilities

• Build and enhance Workday's Data Cloud platform.
• Ensure performance, scalability, and reliability of data processing algorithms.
• Turn ideas into high-quality implementations that deliver customer value.

Skills

Software development

Distributed systems

SQL

Data warehousing

Kubernetes

Spark

Iceberg

Trino

Education

Bachelor's or MS in Computer Science

Tools

Kubernetes

Apache Spark

Apache Iceberg

Trino

Apache Polaris

Job description

Workday, Inc. is seeking a Data Platform Engineer to build and enhance the Data Cloud, focusing on data management and distributed processing. You’ll work on scalable algorithms and high-performance data crunching across large data volumes.

You’ll collaborate with a dedicated team to deliver robust, user-friendly data solutions, with a flexible hybrid work model that supports in-person and remote contributions.