3 days ago
Pleasanton, CA, USAMid Level
H1B sponsor
Base Salary
$124k - $222k/yr
Responsibilities
- Build and enhance Workday’s Data Cloud within the Data Platform Engineering organization.
- Develop distributed data processing frameworks, algorithms, and data management systems.
- Build infrastructure for high-performance processing of large volumes of data.
- Improve system performance, scalability, reliability, simplicity, and ease of use.
- Translate technical ideas into high-quality implementations that support customer success.
- Collaborate with engineering teammates, partners, and stakeholders and articulate the value of proposed solutions.
Requirements
- At least 4 years of software development experience in an object-oriented or functional programming language.
- Bachelor’s degree in computer science or a relevant field, or a master’s degree in computer science or a relevant field.
- Background in data warehousing, database system internals, and/or distributed systems.
- Experience with distributed data processing engines or data management systems.
- Strong understanding of SQL.
- Experience with one or more of Kubernetes, Apache Spark and Spark SQL internals, Apache Iceberg and zero-copy architectures, Apache Polaris, or Trino.
- Ability to learn new technical areas, languages, and frameworks and collaborate effectively with engineering teams and stakeholders.
Benefits
- Flexible hybrid work model with at least 50% of each quarter spent in the office or in the field with customers, prospects, or partners.
- Eligibility may include participation in the Workday Bonus Plan or role-specific bonus and annual refresh stock grants.
- Equal opportunity employment and reasonable accommodation support are provided.
Tech Stack
Categories
BackendData Engineering
About Workday
Workday builds cloud-based enterprise applications for human capital management and financial management, including payroll, time tracking, expenses, planning, and procurement, sold on a subscription basis with professional services. Founded in 2005 and headquartered in Pleasanton, California, it is a public company traded on NASDAQ as WDAY. Organizations worldwide use Workday to unify HR and finance data, automate processes, and apply AI to workforce and financial operations.