Job Description

Client: Workday


Title: Software Development Engineer ( need data engineers with Databricks, MLOps, Spark and AWS)


Client: Workday, two location Beaverton, Oregan or Pleasanton, CA, Hybrid 2 days

Must have:


We are not looking for ML engineers or Data Scientist, we are looking for Software engineers, candidates from data side with ML Ops


Must have- Data Bricks, AWS, Spark, ML Ops, need independent consultants , data pipeline with ML. ETL pipeline.


someone who has done migration type projects will be the best fit.

For Sr. candidate: 2 roles open


As a Software Development Engineer in ML, you will:

• Transition Databricks pipelines to Workday Data Engineering tooling on AWS
• Transition Databricks notebooks to AWS SageMaker Studio
• Develop features for Workday Data Engineering tooling that promote data mesh architecture principles
• Lead teams through best practices in ML and ML Ops
• Influence the direction of our product vision and strategy with technical expertise and context
• Provide critical feedback for the team's technical designs, architecture, and decisions

About You


Basic Qualifications:

• 2 or more years of experience using Databricks
• 2 or more years of experience using ML pipeline tools: Airflow, Dagster, ML Flow, AWS Glue, Spark, etc.
• 2 or more years of experience using cloud compute technologies: AWS, GCP, etc.
• 5 or more years of experience building production grade software and practicing Agile methodologies

Other Qualifications:

• 3 or more years of experience building data mesh architectures
• 3 or more years of experience with ML ops
• 3 or more years of experience with machine learning and data science technologies

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