Data Engineer

• Design, build, and maintain robust ETL/ELT pipelines using Databricks (PySpark, SQL) on AWS-based data platforms
• Develop and optimize data models and tables to support BI tools such as Tableau and internal reporting use cases
• Work with data scientists and AI engineers to operationalize GenAI models, including orchestrating data dependencies, prompt stores, and inference pipelines
• Implement monitoring, version control, and quality standards across ETL workflows and data schemas
• Collaborate with business teams to translate data requirements into scalable engineering solutions
• Ensure data security and compliance with organizational and regional guidelines

Data Engineer, LLM, ML, GenAI Apps

• Lead HUD’s data quality strategy, including building QC systems, defining and enforcing quality standards, and designing experiments to grade agent outputs
• Develop methods for validating synthetic data at scale, including failure-mode analysis, task mutation checks, and trajectory auditing
• Partner with research engineers, domain experts, and data vendors to diagnose quality issues and improve data generation workflows
• Turn qualitative research insights into production systems, internal tools, dashboards, validation pipelines, and feedback loops
• Build internal research taste around what makes agent training data useful, not just superficially correct
• Mentor research engineers to maintain high standards for technical rigor, clarity, and execution speed
• Lead the data quality team in evaluating thousands of tasks across RL environments, synthetic data, benchmarks, and domain-specific workflows

Data Engineer jobs in Singapore

Data Engineer, LLM, ML, GenAI Apps

Lead Research Engineer, Data Quality