Sr Data Engineer

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.

How can you make an impact?

Join McGraw-Hill Education (MHE) as a Senior Data Engineer within the Data and Analytics team and help transform business intelligence capabilities across financial, product, customer, user, and third-party domains. You'll play a hands-on role architecting and delivering scalable reporting and analytics solutions to support innovation in education.

This is a remote position open to applicants authorized to work for any employer within the United States. Candidates must be available to work during Eastern Time (ET) core hours.

What You'll Do:

• Develop and deliver AWS-based data solutions with hands-on cloud engineering expertise
• Build and manage big data pipelines using Databricks or similar Spark-based platforms
• Design and implement parallel ETL processes to optimize resources and processing speed
• Architect data models and modern data solutions including cloud technologies
• Collaborate cross-functionally to translate business needs into technical requirements
• Drive performance monitoring and reliability of the Data Platform
• Lead the creation of technical specification design and end-to-end documentation
• Ensure runbook SLA compliance and oversee daily cloud platform operations
• Utilize tools like Git, Jira, and agile methodologies for project management

What You Bring:

• Bachelor's degree in a related field or equivalent experience
• 5+ years of experience in data engineering and cloud technologies
• Proficiency in AWS services such as Lambda, EMR, Glue, and Athena with Iceberg
• Advanced skills in SQL, Python scripting, and Terraform
• Deep knowledge of data warehousing, data lake architecture, and version control
• 3+ years of hands-on experience using AWS for data technology solutions

Preferred Experience & Skills:

• Experience in Publication or Education domains
• Familiarity with data visualization tools like Tableau or Alteryx
• Background working with financial data (e.g., sales, revenue, COGS, manufacturing)
• Exposure to IBM Planning Analytics (TM1)
• Hands-on experience with Databricks
• Familiarity with Terraform or similar Infrastructure-as-Code tools
• Experience working with data lakes, data warehouses, or cloud data platforms
• Exposure to DevOps, automated testing, and CI/CD pipelines

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 USD 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.

McGraw Hill recruiters always use a "@mheducation.com" email address and/or from our Applicant Tracking System, iCIMS. Any variation of this email domain should be considered suspicious. Additionally, McGraw Hill recruiters and authorized representatives will never request sensitive information in email.

McGraw Hill uses an automated employment decision tool (AEDT) to assist in the screening process by recommending candidates with "like skills" based on resume and job data. To request an alternative screening process, please select "Opt-Out" when asked to "Consent to use of Automated Employment Decision Tools" during the application.