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

Weill Cornell Medicine - Qatar; New York (NY); On-site; USD 130,000 - 143,000; Full time

Job summary

Weill Cornell Medicine - Qatar is seeking a Data Integration Engineer II to design, develop, and maintain data integration solutions across enterprise systems and cloud platforms. The role emphasizes ETL/ELT development, data modeling, and data movement to support analytics and reporting with SAP and cloud data warehouses.

This term position is anticipated through Fall 2028 and may be extended based on needs, funding, and performance.

Qualifications

• Bachelor's Degree in Computer Science or related field preferred.
• Equivalent work experience will be considered.
• 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.
• 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.

Skills

Data integration

ETL/ELT

SQL

Data modeling

Analytics

Problem solving

Communication

Education

Bachelor's Degree in Computer Science or related field

Tools

SAP

SAP BODS

Informatica

Amazon Redshift

Job description

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Location: Midtown

Work Days:

Weekly Hours:35.00

Exemption Status:Exempt

Salary Range:$130,300.00-$143,300.00

*As required under NYC Human Rights Law Int 1208-2018 - Salary range for this role when Hired for NYC Offices

Position Summary

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.

Job 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.

Education

• Bachelor's Degree in Computer Science or related field preferred
• equivalent work experience will be considered.

Experience

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

Knowledge, Skills and Abilities

• Strong analytical and problem-solving skills with ability to troubleshoot 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 to collaborate with both 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.

Licenses and Certifications

Working Conditions/Physical Demands

Position requires working in an office environment where there some physical discomforts such as dust, dirt, noise, and the like are present. Ability to work off-hours and weekends for go-lives, testing and emergencies, as well as travel between office locations, primarily within NYC is required. Occasional meetings or clinical staff interactions in typical patient care areas may be required though direct patient exposure is not expected. Occasional moving of computer equipment or similar objects up to approximately 50lbs may be required to expedite projects.

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