Senior Data Platform & AI Engineering Lead

Workday; Pleasanton (CA); Hybrid; USD 274,456 - 296,800; Full time

Benefits offered by this job

Bonus Plan

Stock Grants

Job summary

Workday in Pleasanton, CA seeks an experienced data engineer to develop large-scale distributed systems that provide real-time insights across platforms. The role requires deep expertise in software development, including Java, Python, and machine learning.

Candidates should hold a Bachelor’s degree in Computer Science and possess at least five years of relevant experience. The position presents opportunities to innovate within a hybrid work model, focusing on AI and operational data analytics.

Qualifications

• Minimum of five years of experience in Java/Scala.
• Minimum of five years of experience in Python.
• Minimum of five years of experience in machine learning and natural language processing.
• Minimum of five years of experience in advanced deep learning models.
• Minimum of five years of experience in data lake.
• Minimum of five years of experience in AWS.

Responsibilities

• Enable real-time insights across Workday’s platforms.
• Develop large-scale distributed data systems.
• Provide software for data collection and analytics.
• Manage data encapsulating billions of messages.
• Build data products from operational data.
• Design correlation engines for root cause analysis.

Skills

Java/Scala

Python

Machine Learning

Natural Language Processing

Deep Learning

Data Lake

AWS

S3

Spark

Kafka

Workflow Orchestration

Intelligent Decision Systems

Education

Bachelor's degree in Computer Science or related field

Master's degree in Computer Science or related field

Job description

Workday in Pleasanton, CA seeks an experienced data engineer to develop large-scale distributed systems that provide real-time insights across platforms. The role requires deep expertise in software development, including Java, Python, and machine learning.

Candidates should hold a Bachelor’s degree in Computer Science and possess at least five years of relevant experience. The position presents opportunities to innovate within a hybrid work model, focusing on AI and operational data analytics.