Sr Software Engineer, Data & Analytics

Location: United States

Department: Technology

Work Mode: Remote

About the Role

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. Join our passionate, fast-growing team within McGraw Hill, a global education technology company transforming how students learn and succeed. Our new product, Sharpen, has scaled from Minimum Lovable Product to hundreds of thousands of users, featured on the App Store, with paying customers in its first year. As a Sr Software Engineer, Data & Analytics, 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 critical technical role bridges data engineering and analytics, ensuring our data infrastructure is scalable, reliable, and optimized for analytics and business intelligence in the EdTech space. This is a remote position open to applicants authorized to work for any employer within the United States. What You'll Do: Design and build scalable data pipelines; optimize data models for BI tools; collaborate cross-functionally for insights; implement data quality and security practices; drive self-service analytics; integrate new tools; monitor pipelines; develop KPIs and dashboards. What You Bring: 5+ years experience, SQL expertise, modern data stack proficiency (dbt, BigQuery), ETL tools, data warehousing knowledge, BI tools, scripting languages, governance skills, and strong collaboration. Why McGraw Hill? Your work will shape the future of education, fostering innovation and fulfillment. The pay range is $124,000-$155,000 annually, plus bonus, full benefits, and growth opportunities in our collaborative culture.

Key Responsibilities

• 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

Required Qualifications

• 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

Preferred Qualifications

• 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

Required Skills

• Modern data stack tools (dbt, BigQuery)
• Advanced SQL proficiency
• Data modeling design and optimization
• ETL/ELT tools (Airflow, Fivetran)
• Event-based analytics platforms (Segment)
• Data warehousing principles
• Business intelligence tools (Tableau, Power BI)
• Python, R, or scripting for data transformation
• Data governance, compliance, and security
• System performance optimization
• Cross-functional collaboration
• Strong communication with technical and non-technical stakeholders
• Problem-solving in fast-paced environments
• Analytical thinking for business needs

Benefits

• Competitive base salary range of $124,000 - $155,000 annually
• Annual bonus plan as part of compensation package
• Comprehensive medical, dental, and vision benefits
• 401(k) retirement savings plan with company match
• Generous paid time off and flexible work arrangements
• Professional development and career growth opportunities
• Remote work flexibility for US-authorized applicants
• Wellness programs supporting work-life balance

McGraw Hill is an Equal Opportunity Employer.