Data Engineer

Toptal is an exclusive network of the world’s top freelance talent, and they are seeking a Data Engineer to support a large-scale HR data transformation initiative. The primary objective of the role is to provide data engineering and modeling support to build a centralized Data Lake and integrate it with Workday APIs.

Responsibilities:

• Ingest large volumes of HR data into a Data Lake environment
• Develop and maintain APIs for data exchange between Workday and the Data Lake
• Design and implement flexible data models to support various downstream use cases
• Ensure data security and compliance throughout the data engineering processes
• Collaborate with the AI development team for the integration of data workflows into AI agents

Requirements:

• Proficiency in AWS data tools, Snowflake, MongoDB, and dbt
• Strong background in data engineering and data modeling
• Experience with API development, particularly for data ingestion and integration
• Familiarity with HR data structures and Workday integration
• Workday data extraction - experience with Workday API and WQL (Workday Query Language)
• Understanding of semantic layer design and security considerations in data handling