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edtech.com
McGraw Hill logo

McGraw Hill

Sr Data Engineer

🇺🇸 Remote - OH

🕑 Full-Time

💰 $124K - $155K

💻 Data Science

🗓️ August 3rd, 2025

CI/CD ETL Python

Edtech.com's Summary

McGraw Hill is hiring a Senior Data Engineer to enhance their Data and Analytics team by architecting and delivering scalable data solutions across various business domains. The role requires hands-on development of AWS-based data pipelines and collaboration with cross-functional teams to transform business requirements into technical implementations.

Highlights
  • Develop and deliver AWS-based data solutions with 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 speed.
  • Architect data models and modern cloud data solutions.
  • Collaborate cross-functionally to convert business needs into technical requirements.
  • Utilize tools such as Git, Jira, and agile methodologies for project management.
  • Required skills include proficiency with AWS services (Lambda, EMR, Glue, Athena with Iceberg), advanced SQL, Python scripting, Terraform, and data warehousing concepts.
  • Preferred experience includes publication or education domains, data visualization tools (Tableau, Alteryx), financial data knowledge, DevOps practices, CI/CD pipelines, and hands-on Databricks experience.
  • Requires a bachelor's degree or equivalent experience and 5+ years in data engineering with 3+ years on AWS.
  • Compensation ranges from $124,000 to $155,000 annually plus potential bonuses and benefits.

Sr Data Engineer Full Description

Sr Data Engineer

  • Ohio, United States
  • Technology
  • Corporate
  • Remote

Overview

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. 
 
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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.

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