Data Integration Engineer II (CEMI)

Weill Cornell Medical College•New York, NY

1d•$130,300 - $143,300•Onsite

About The Position

The Data Integration Engineer II is responsible for designing, developing, and maintaining data integration solutions and backend data pipelines across enterprise systems and cloud platforms. This role focuses on ETL/ELT development, data modeling, and data movement to support analytics and reporting. The position works independently on moderately complex tasks and supports multiple technologies including SAP and cloud data warehouses. This is a term position anticipated to be needed through Fall 2028 but may be ended or extended based on organizational needs, funding availability, and performance.

Requirements

Minimum of 8–10 years of hands-on experience in data integration, data engineering, or related field
Experience with SAP data platforms including SAP BW and/or SAP BODS
Experience with cloud data warehouse technologies such as Amazon Redshift
Experience with ETL/ELT tools such as Informatica
Hands-on experience in data modeling and backend data structures
Strong SQL development skills including queries, scripting, and stored procedures
Experience with job scheduling, monitoring, and batch processing
Bachelor's Degree in Computer Science or related field preferred, equivalent work experience will be considered.

Nice To Haves

Exposure to multiple data environments (on-premise and cloud) preferred

Responsibilities

Design and develop ETL/ELT pipelines to integrate data from multiple source systems into enterprise data platforms.
Build and maintain backend data models to support reporting, analytics, and operational use cases.
Develop and optimize data movement processes using tools such as SAP BODS, Informatica, and cloud-native services.
Support multiple technology stacks including SAP BW and cloud environments such as Amazon Redshift.
Perform data transformation, cleansing, and validation to ensure data quality and integrity.
Monitor, schedule, and troubleshoot batch jobs and data pipelines to ensure reliable system performance.
Analyze data integration issues and implement solutions to improve performance and scalability.
Collaborate with business analysts and developers to translate requirements into technical data solutions.
Document data flows, data models, and technical specifications for maintainability and governance.
Provide support for production issues and participate in system enhancements and continuous improvement initiatives.