Data Integration Engineer II (CEMI)

Location: Midtown, NYC • 35 hours/week • Exempt • Term position anticipated through Fall 2028

About the role

The Data Integration Engineer II designs, develops, and maintains 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, working independently on moderately complex tasks and supporting multiple technologies including SAP and cloud data warehouses.

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.

Requirements

• Bachelor’s Degree in Computer Science or related field (or equivalent work 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).

Skills

• 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.

Pay

$130,300 – $143,300 per year

Working Conditions

• Office environment with occasional physical discomforts such as dust, dirt, and noise.
• Required to work off-hours and weekends for go-lives, testing, and emergencies.
• Travel between office locations, primarily within NYC.
• Occasional meetings or interactions in patient care areas (no direct patient exposure expected).
• Occasional moving of computer equipment or similar objects up to approximately 50 lbs.