[Hiring] Senior Data Engineer @McGraw Hill LLC.

Role Description

As a Senior Data Engineer, you will be at the core of McGraw Hill’s data ecosystem designing, building, and optimizing scalable data solutions that power insights across finance, product, customer, and operational domains. You will work closely with analytics, product, and business stakeholders to translate complex requirements into reliable, high-performance data pipelines and architectures, helping teams make timely and informed decisions.

• Design, develop, and maintain scalable data pipelines and solutions using AWS technologies
• Build and optimize big data processing workflows using Databricks and Spark
• Develop robust ETL/ELT solutions with parallel processing for faster and more efficient data delivery
• Design and implement data models (facts, dimensions, star schemas, aggregations) to support reporting and analytics
• Monitor and manage cloud-based data platforms to ensure performance, reliability, and SLA adherence
• Translate business requirements into technical designs and end-to-end data solutions
• Collaborate with cross-functional teams throughout the software development lifecycle, from requirements to deployment
• Create and maintain high-quality technical and solution design documentation
• Follow Agile/Kanban practices using tools such as Git and Jira

Qualifications

• A Bachelor’s degree in a related field or equivalent practical experience
• 5+ years of experience in Data Engineering or a related discipline
• Strong hands-on experience with AWS data services such as Athena, Glue, EMR, Lambda, and Iceberg
• Proven experience working with Databricks and Spark-based data processing
• Advanced proficiency in SQL and strong Python scripting skills
• Solid understanding of modern data warehousing and data lake architectures
• Experience with cloud infrastructure and infrastructure-as-code tools such as Terraform
• Strong problem-solving skills, attention to detail, and ability to work independently
• Excellent communication skills and the ability to collaborate with technical and non-technical stakeholders

Requirements

• Experience in the Education or Publishing domain (Nice to have)
• Familiarity with analytics and BI tools such as Tableau or Microsoft Power BI (Nice to have)
• Experience working with financial datasets (sales, revenue, COGS, manufacturing, etc.) (Nice to have)
• Exposure to IBM Planning Analytics (TM1) (Nice to have)

Benefits

There has never been a better time to join McGraw Hill. In our culture of curiosity, collaboration, and innovation, you’ll have the opportunity to work on meaningful problems, own your growth, and help shape the future of learning through data and technology.