Sr Software Engineer, Data & Analytics

McGraw Hill; Columbus (OH); Remote; USD 124,000 - 155,000; Full time

Job summary

A global education technology company is seeking a Sr. Software Engineer - Analytics to design and maintain data pipelines and collaborate with various teams to deliver accurate insights. The role demands strong proficiency in SQL, ETL tools, and experience with analytics tools like Tableau or Power BI. The position offers an annual salary between $124,000 and $155,000, along with comprehensive benefits.

Benefits

Annual bonus plan

Comprehensive medical benefits

Flexible work environment

Qualifications

• Minimum of 5+ years of applicable experience.
• Strong experience with modern data tools.
• Solid understanding of data warehousing principles.

Responsibilities

• Design, build, and maintain scalable data pipelines.
• Collaborate with cross-functional teams for actionable insights.
• Monitor and troubleshoot data pipelines.

Skills

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

Proficiency in SQL

Experience with ETL/ELT tools (e.g., Airflow, Fivetran)

Expertise in business intelligence tools (e.g., Tableau, Power BI)

Strong communication skills

Experience with Python, R, or other scripting languages

Education

Bachelor's degree in related field or equivalent experience

Tools

BigQuery

dbt

Tableau

Power BI

Job description

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.