Sr Software Engineer, Data & Analytics (Remote)

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Job Summary:

McGraw Hill is a global education technology company dedicated to transforming education through digital learning experiences. They are seeking a Senior Software Engineer - Analytics to build a best-in-class data ecosystem that powers insights and personalized user experiences, focusing on the design, development, and maintenance of data pipelines and modeling layers.

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.

Qualifications:

Required:

• 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 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.

Company:

We are a leading global education company that partners with millions of educators, learners and professionals around the world. Founded in 1888, the company is headquartered in New York, New York, USA, with a team of 1001-5000 employees. The company is currently Public Company.