Data Integration Engineer II — ETL, SAP & Cloud Data Flows

Weill Cornell Medicine

New York (NY)

On-site

USD 130,000 - 143,000

Full time

1 hour ago
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Job summary

Weill Cornell Medicine is seeking a Data Integration Engineer II to design, develop, and maintain data integration pipelines across enterprise systems and cloud platforms. You will work on ETL/ELT development, data modeling, and data movement to support analytics and reporting, with exposure to SAP and cloud data warehouses.

The role is office-based in Midtown NYC, requiring strong SQL skills and the ability to collaborate with analysts and developers.

Qualifications

  • Bachelor's degree in CS or related field preferred; equivalent experience considered.
  • 8-10 years of hands-on data integration/engineering experience.
  • Experience with SAP BW and/or SAP BODS; cloud data warehouses such as Amazon Redshift.
  • Proficient in SQL; strong ETL/ELT concepts and data modeling.

Responsibilities

  • Design and develop ETL/ELT pipelines from multiple sources into enterprise data platforms. Build backend data models to support reporting and analytics.
  • Develop and optimize data movement using SAP BODS, Informatica, and cloud-native services.
  • Support SAP BW and cloud environments such as Amazon Redshift; ensure data quality.
  • Monitor, troubleshoot batch jobs and pipelines for reliability.
  • Document data flows and technical specifications for governance.

Skills

Analytical thinking
Independent worker
Written/Verbal communication
Data modeling
Problem solving

Education

Bachelor's Degree in Computer Science or related field
Equivalent work experience considered

Tools

SAP BODS
Informatica
SAP BW
Amazon Redshift

Job description

Weill Cornell Medicine is seeking a Data Integration Engineer II to design, develop, and maintain data integration pipelines across enterprise systems and cloud platforms. You will work on ETL/ELT development, data modeling, and data movement to support analytics and reporting, with exposure to SAP and cloud data warehouses.

The role is office-based in Midtown NYC, requiring strong SQL skills and the ability to collaborate with analysts and developers.

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