Sr Software Engineer, Data & Analytics

Sr Software Engineer, Data & Analytics

McGraw Hill

1 Positions

ID : 5590

Posted On 05 / 02 / 2025

Refreshed On 09 / 03 / 2025

Job Overview

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 insights.

Implement best practices for data quality, governance, and security across the data infrastructure.

Drive adoption of self-service analytics by building clear, user-friendly data models and documentation.

Evaluate and integrate new data tools and technologies to continuously improve Sharpen’s data stack.

Monitor and troubleshoot data pipelines, ensuring timely resolution of issues to maintain reliability and uptime.

Partner with stakeholders to develop KPIs, dashboards, and reporting frameworks that drive data-driven decision-making

What You Bring :

Bachelor's degree in related field or equivalent experience preferred.

Minimum of 5+ years of applicable experience.

Strong experience with modern data stack tools (e.g., dbt, BigQuery).

Strong proficiency in SQL and experience designing, optimizing, and maintaining complex data models.

Experience with ETL / ELT tools and frameworks (e.g., Airflow, Fivetran, or similar).

Experience with event-based analytics platforms (e.g., Segment).

Solid understanding of data warehousing principles and architecture.

Expertise with business intelligence and visualization tools such Tableau or Power BI.

Experience with Python, R, or other scripting languages for data transformation and analysis.

Knowledge of data governance, compliance, and security best practices.

Ability to balance engineering rigor with a practical understanding of business and analytics needs.

Strong communication and collaboration skills to work with technical and non-technical stakeholders.

Preferred Experience & Skills :

Experience in an EdTech, startup, or consumer-facing environment.

Experience with observability tools like New Relic, Datadog, or equivalent for performance monitoring.

Strong knowledge of system performance optimization, caching strategies, and distributed systems.

Why work for us?

The work you do at McGraw Hill will be work that matters. We are collectively designing content that will build the future of education. Play your part and experience a sense of fulfilment that will inspire you to even greater heights.

The pay range for this position is between $124,000- $155,000 annually, however, base pay offered may vary depending on job-related knowledge, skills, experience, and location. An annual bonus plan may be provided as part of the compensation package, in addition to a full range of medical and / or other benefits, depending on the position offered. Click here to learn more about our benefit offerings.

McGraw Hill recruiters always use a “@mheducation.com” email address and / or from our Applicant Tracking System, iCIMS. Any variation of this email domain should be considered suspicious. Additionally, McGraw Hill recruiters and authorized representatives will never request sensitive information in email.

49068

Primary Contact

1702837431829

Jacqui Edwards

Phone

Phone

Phone

Fax

jacqui.edwards@mheducation.com

Email

True

False

True

Job Details

Categories

Publishing / Printing

Location

Remote, Remote

Job Type

Employee

Full / Part

Full Time

Company ID

695

Job REQ #

5590

# Positions

Start Date

20250502

End Date

20251029

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McGraw Hill

About the Company

At McGraw Hill, we believe that our contribution to unlocking a brighter future lies within the application of our deep understanding of how learning happens and how the mind develops. It exists where the science of learning meets the art of teaching.

Educators have been and always will be at the core of the learning experience. The solutions we develop help educators impart their knowledge to students more efficiently. We believe that harnessing technology can enhance learning inside and outside of the classroom and deepen the connections between students and teachers to empower greater success.

By partnering with educators around the globe, our learning engineers, content developers and pedagogical experts are developing increasingly open learning ecosystems that are proven to improve pass rates, elevate grades and increase engagement for each individual learner while improving outcomes for all.

Why? Because learning changes everything.

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