Software Development Engineer- Data Engineer

Workday • Atlanta, GA

266d • CA$106,400 - CA$159,600 • Hybrid

About The Position

At Workday, we are the Machine Learning Product team focused on applying machine learning and statistical analysis to our products. We build data-driven products that help organizations uncover insights and make strategic decisions. As a Software Engineer III, you will develop ML powered features for our HR & Talent product portfolio, working closely with ML engineers and other software teams. You will be responsible for designing and developing new APIs/microservices deployed at scale, applying modern ML Ops, DevOps, and data engineering stacks.

Requirements

• 5 or more years of validated software industry experience.
• Proven experience in software development with proficiency in at least one programming language (e.g., Python, Go).
• Bachelor's and/or master's degree in computer science or computer engineering.
• Optimize public cloud-based infrastructure (AWS, GCP) to support machine learning workloads.
• Implement and manage CI/CD workflows to automate testing, integration, and delivery of machine learning components.
• Professional experience in building web applications and microservices and API design.
• Experience with running and maintaining Databricks, Sagemaker, & Apache Spark as a Data Platform service.
• Experience with big data technologies and frameworks (e.g., Spark, Flink, Hadoop, Kafka).
• Hands-on experience with data warehousing concepts and ETL/ELT principles.

Nice To Haves

• Implementation and operation of distributed systems.
• Troubleshoot and resolve performance bottlenecks, system outages, and other operational issues.
• Experience with Data Engineering and/or ML systems.
• Experience with tools cloud data platform and services like Databricks, Sagemaker, EMR.
• Strong problem-solving skills and ability to work in a fast-paced environment.
• Experience with MLOps platforms like Kubeflow and pipeline orchestrators like Airflow, Dagster and Kubeflow Pipelines.
• Familiarity with containerization and orchestration technologies (e.g., Docker, Kubernetes).
• Knowledge of data governance, data cataloging, and metadata management tools.
• Experience with data security best practices.
• Experience with Online and Batch FeatureStore like Feast.

Responsibilities

• Work with multi-functional teams to deliver scalable, secure and reliable solutions.
• Engage with data scientists, software engineers, ML engineers, PMs and architects in requirements elaboration.
• Develop software features from end to end including infrastructure as code.
• Design and build developer tools and services that enable ML capabilities.
• Participate in architecture reviews, code reviews and technology evaluation.
• Research, evaluate, prototype and drive adoption of new ML tools and services.
• Build and optimize data storage solutions to handle large volumes of structured and unstructured data.
• Build systems and dashboards to monitor service & ML health.

Benefits

• Workday Bonus Plan or role-specific commission/bonus.
• Annual refresh stock grants.
• Flexible work schedule with at least 50% in-office time each quarter.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Publishing Industries
• Education Level: Bachelor's degree