Principal Data Engineer: ML-Ready Pipelines & Quality

Western Digital Corporation; Singapore; Hybrid; SGD 60,000 - 100,000; Full time

Job summary

Western Digital Corporation is seeking a data engineering professional in Singapore to build ML-ready data pipelines for experimental measurement data. You will implement feature stores, data quality checks, lineage, and governance to ensure reproducibility across model training workflows.

The role emphasizes collaboration with ML engineers and analytics teams, with responsibilities spanning real-time streaming, synthetic data support, and integrated data platforms using AWS Kubernetes and

Qualifications

• Bachelor's or Master's in AI, CS, Data Engineering, EE, Applied Math; AI major preferred; strong data fundamentals.
• Fresh to 1 year of project experience building end-to-end data pipelines (academic, personal, internship).
• Solid SQL, Python, and pipeline design fundamentals with evidence from projects.

Responsibilities

• Build and maintain reliable, versioned feature engineering pipelines for ML-ready data.
• Design and operate data quality checks for completeness, schema, distributions, and label accuracy.
• Implement data contracts and governance with access controls and retention practices.
• Develop real-time sensor data ingestion pipelines under technical direction.
• Support synthetic data generation pipelines and ML data lifecycle tooling.

Skills

SQL

Scalable Pipeline Design

Data Quality Principles

Data Versioning & Lineage

ML Data Lifecycle Awareness

Education

Bachelor's or Master's degree in AI, Computer Science, Data Engineering, Electrical Engineering, Applied Mathematics

Tools

Airflow

Prefect

AWS Glue Jobs

Kubernetes

PortKey

LangFuse

Elastic Search

Job description

Western Digital Corporation is seeking a data engineering professional in Singapore to build ML-ready data pipelines for experimental measurement data. You will implement feature stores, data quality checks, lineage, and governance to ensure reproducibility across model training workflows.

The role emphasizes collaboration with ML engineers and analytics teams, with responsibilities spanning real-time streaming, synthetic data support, and integrated data platforms using AWS Kubernetes and