Sr Software Engineer, Data & Analytics
Company: McGraw Hill
Location: Location not specified (Remote)
Remote: Yes
Posted: 2026-02-02
About this role
Overview
Build the Future
At McGraw Hill, we are dedicated to delivering digital learning experiences that transform education for learners and educators. Our focus is on creating seamless, impactful products that truly benefit our users while supporting growth and collaboration across teams. We foster a culture that values innovation, teamwork, and a balance between career growth and personal well-being.
How can you make an impact?
We are a passionate, fast-growing team within McGraw Hill, a global education technology company that is transforming the way students learn and succeed. Our new product has scaled from Minimum Loveable Product to hundreds of thousands of users, has been featured on the App Store, and has paying customers in its first year of launch.
As we continue to grow, we are seeking a
Sr. Software Engineer - Analytics
to help us build a best-in-class data ecosystem that powers insights, decision-making, and personalized user experiences. As a Sr. Analytics Engineer, you’ll own the design, development, and maintenance of Sharpen’s data pipelines and modeling layers. You’ll work closely with data scientists, analysts, and product teams to ensure the availability and accuracy of data across the organization. This is a critical technical role that bridges data engineering and analytics, ensuring that our data infrastructure is scalable, reliable, and optimized for analytics and business intelligence.
This is a remote position open to applicants authorized to work for any employer within the United States.
What You'll Do:
- Design, build, and maintain scalable data pipelines that support analytics, reporting, and product insights.
- Develop and optimize the data modeling layer to ensure high performance, maintainability, and usability for analytics and BI tools.
- Collaborate with cross-functional teams, including product, engineering, and business teams, to define data requirements and deliver actionable insig...