Data Integration Engineer II- AWS/Redshift (CEMI)- 2 Year Term Appointment

Weill Cornell Medical College•New York, NY

21d•$130,300 - $143,300•Onsite

About The Position

The Data Integration Engineer II designs, develops, and maintains data integration solutions and backend data pipelines across enterprise systems and cloud platforms. The 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 technologies including SAP and cloud data warehouses. This is a term position anticipated to be needed through Fall 2028, but it 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 a 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.
Strong analytical and problem-solving skills, including troubleshooting complex data issues.
Ability to work independently while managing multiple priorities in a fast-paced environment.
Solid understanding of data integration concepts, ETL/ELT processes, and data lifecycle management.
Effective communication skills for collaboration with technical and business stakeholders.
Working knowledge of data modeling techniques and database design principles.
Ability to learn and adapt to new technologies and evolving data platforms.
Strong attention to detail to ensure data accuracy, quality, and consistency.
Ability to work off-hours and weekends for go-lives, testing, and emergencies.
Ability to travel between office locations, primarily within NYC.
Ability to occasionally move computer equipment or similar objects weighing up to approximately 50 pounds.

Nice To Haves

Bachelor's degree in Computer Science or a related field preferred; equivalent work experience will be considered.
Exposure to multiple data environments, including 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 supporting reporting, analytics, and operational use cases.
Develop and optimize data movement processes using tools such as SAP BODS, Informatica, and cloud-native services.
Support technology stacks including SAP BW and cloud environments such as Amazon Redshift.
Transform, cleanse, and validate data to ensure 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.
Support production issues and participate in system enhancements and continuous improvement initiatives.