Provide the tools necessary to deliver cutting-edge health care and groundbreaking research. As part of our Information Technology team, you’ll ensure that our medical professionals have access to the latest breakthroughs in technology, and you’ll play a key role in protecting our global patient community.
The Senior Data Warehouse Engineer is a senior-level individual contributor responsible for designing, building, and maintaining enterprise data warehouse solutions that support HR systems and analytics. This role focuses on developing scalable data pipelines, enabling seamless data integrations, and ensuring reliable data exchange across multiple enterprise platforms.
In this role, you will lead advanced data engineering efforts, including data modeling, ETL/ELT development, and system integration. You will partner closely with business and technical stakeholders to translate requirements into efficient, scalable solutions—owning the full lifecycle from design and development through testing and production deployment.
This position is critical to ensuring the accuracy, integrity, and availability of enterprise HR data that powers operational reporting, analytics, and downstream applications.
This is a flex-hybrid role which will require you to be onsite at least 2 days/week with every rotating friday or as required by operational need; there are no reimbursements for travel to “home office” location. Each employee must complete a FlexWork Agreement with their manager which will outline arrangement parameters and aids both parties in fully understanding expectations. Arrangements are regularly evaluated, and are subject to termination.
Salary offers are determined based on various factors including, but not limited to, qualifications, experience, and equity. The full salary range for this position is $105,700 – $234,500 annually. The budgeted salary or hourly range that the University reasonably expects to pay for this position is approximately between the 25th and 75th percentile.
Bachelor’s degree in Information Systems, Computer Science, Data Analytics, or a related field required
Experience in data warehouse engineering or data engineering
Experience developing enterprise data warehouse solutions
Experience building system-to-system integrations
Experience supporting production data environments
Experience working with business stakeholders and translating requirements
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