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McGraw Hill Logo

Sr Software Engineer, Data & Analytics

McGraw Hill

$124,000 - $155,000
Jul 5, 2025
Remote, US
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McGraw Hill is seeking a Sr. Software Engineer - Analytics to build a best-in-class data ecosystem that powers insights, decision-making, and personalized user experiences for their digital learning products.

Requirements

  • 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.

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.
  • 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

Other

  • Bachelor's degree in related field or equivalent experience preferred.
  • Minimum of 5+ years of applicable experience.
  • 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.
  • 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.