Edtech.com's Summary

McGraw Hill is hiring a Sr Data Engineer to develop and deliver scalable AWS-based data solutions, build big data pipelines, and architect modern data models. The role involves hands-on cloud engineering, collaborating across teams to meet business needs, and ensuring the reliability and performance of the data platform.

Highlights

Develop and maintain AWS-based data engineering solutions.
Build and manage big data pipelines using Databricks or Spark platforms.
Design parallel ETL processes to enhance resource utilization and speed.
Architect and implement cloud data models and solutions.
Collaborate cross-functionally to translate requirements into technical designs.
Monitor data platform performance and oversee daily cloud operations.
Utilize Git, Jira, and agile methodologies for project management.
Proficient in AWS services including Lambda, EMR, Glue, Athena (with Iceberg), and Terraform.
Requires 5+ years in data engineering with 3+ years AWS hands-on experience; advanced SQL and Python skills.
Compensation ranges from $124,000 to $155,000 annually, with potential bonuses and benefits.

Sr Data Engineer Full Description

Sr Data Engineer

Ohio, United States
Technology
Corporate
Remote
49368

mail_outline

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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. 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.

49368

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.

Original Job Description

Sr Data Engineer

Ohio, United States
Technology
Corporate
Remote
49368

mail_outline

Get future jobs matching this search

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?

49368

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