Edtech.com's Summary

McGraw Hill LLC. is hiring a Lead Data Engineer. The role involves developing scalable data solutions using AWS and Oracle technologies, transforming various datasets into actionable insights, managing cloud platform performance, and providing technical leadership across the software development lifecycle.

Highlights

Develop scalable data solutions leveraging AWS, Oracle technologies, and modern cloud architecture.
Create detailed technical designs and end-to-end integration models based on business requirements.
Build optimized, parallel-processing ETL pipelines using Informatica and Unix scripting.
Manage cloud platform performance to meet daily SLAs, focusing on financial and operational systems.
Provide technical leadership through full software development lifecycle supporting Agile/Kanban methodologies.
Use Git, Jira, and other tools for version control and collaboration.
Require 8+ years of experience with data engineering tools including Informatica/IICS, Oracle DB, AWS services (Athena with Iceberg, Lambda, EMR, Glue), and Databricks.
Strong expertise in data warehousing, data lake architectures, and programming in Python, Scala, Java, or Node; at least 1 year shell scripting experience.
Experience with cloud environments OCI, AWS, or Azure for data technologies, plus familiarity with financial datasets and Tableau or Alteryx.
Preferred background in publishing or education domain and knowledge of IBM Planning Analytics (TM1).
Annual pay range between $140,000-$145,000 with additional medical and other benefits depending on position.

Lead Data Engineer Full Description

Overview

Impact the Moment

Could your creative thinking build the future? A Lead Data Engineer at McGraw Hill makes a difference for learners and educators across the world. Our team needs individuals with new ideas who connect with people in innovative ways.

How can you make an Impact?

McGraw Hill is seeking a Lead Data Engineer. At McGraw Hill, our mission is to build meaningful enterprise learning solutions that empower students and institutions. You will strengthen McGraw Hill's intelligence and data capabilities by transforming financial, product, customer, and third-party information into timely, actionable insights. It oversees platform performance while architecting scalable reporting, analytics, and modeling solutions, using OCI/Exadata, IICS or Databricks, AWS, and advanced SQL to deliver successful, stakeholder-aligned outcomes.

This is a remote position open to applicants authorized to work for any employer within the United States.

What you will be doing:

Develop and deliver scalable data solutions using AWS and/or Oracle technologies, leveraging strong data modeling skills, SCD practices, and modern cloud architecture.
Translate business requirements into technical designs, creating detailed specifications, solution documentation, and end-to-end integration models (facts, dimensions, star schemas, aggregations).
Build optimized, parallel-processing ETL pipelines using Informatica and advanced transformations, supported by Unix scripting for workflow automation, cleanup, and file management.
Manage and enhance cloud platform performance to meet daily runbook SLAs, ensuring reliable, efficient data operations across financial and operational systems like Oracle ERP and Oracle DB.
Provide technical leadership through the full software development lifecycle, offering guidance from requirements through implementation while supporting Agile/Kanban delivery practices.
Utilize Git, Jira, and other engineering tools to maintain version control, collaborate effectively, and support continuous improvement in data engineering processes.

We're looking for someone with:

8+ years of data engineering experience using Informatica/IICS, Oracle DB, Oracle packages, AWS data services such as Athena with Iceberg, Lambda, EMR, Glue, and platforms like Databricks.
Expertise in data warehousing, modern data lake architectures, and large-scale data engineering practices.
Strong programming skills in Python, Scala, Java, or Node, along with at least 1 year of Unix shell scripting.
5+ years working with cloud environments including OCI, AWS, or Azure with a focus on data technologies.
Experience working with financial datasets such as sales, revenue, COGS, and manufacturing, and familiarity with Tableau or Alteryx.
Preferred experience in the publishing or education domain and with IBM Planning Analytics (TM1).

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 fulfillment that will inspire you to even greater heights.

The pay range for this position is between $140,000-$145,000 annually, however, base pay offered may vary depending on job-related knowledge, skills, experience, and location. Additionally, a full range of medical and/or other benefits may be provided, depending on the position offered. Click here to learn more about our benefit offerings.

McGraw Hill recruiters always use a "@mheducation.com" or "@careers.mheducation.com" email addresses 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. 49998

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

Overview

Impact the Moment

How can you make an Impact?

This is a remote position open to applicants authorized to work for any employer within the United States.

What you will be doing:

Develop and deliver scalable data solutions using AWS and/or Oracle technologies, leveraging strong data modeling skills, SCD practices, and modern cloud architecture.
Translate business requirements into technical designs, creating detailed specifications, solution documentation, and end-to-end integration models (facts, dimensions, star schemas, aggregations).
Build optimized, parallel-processing ETL pipelines using Informatica and advanced transformations, supported by Unix scripting for workflow automation, cleanup, and file management.
Manage and enhance cloud platform performance to meet daily runbook SLAs, ensuring reliable, efficient data operations across financial and operational systems like Oracle ERP and Oracle DB.
Provide technical leadership through the full software development lifecycle, offering guidance from requirements through implementation while supporting Agile/Kanban delivery practices.
Utilize Git, Jira, and other engineering tools to maintain version control, collaborate effectively, and support continuous improvement in data engineering processes.

We're looking for someone with:

8+ years of data engineering experience using Informatica/IICS, Oracle DB, Oracle packages, AWS data services such as Athena with Iceberg, Lambda, EMR, Glue, and platforms like Databricks.
Expertise in data warehousing, modern data lake architectures, and large-scale data engineering practices.
Strong programming skills in Python, Scala, Java, or Node, along with at least 1 year of Unix shell scripting.
5+ years working with cloud environments including OCI, AWS, or Azure with a focus on data technologies.
Experience working with financial datasets such as sales, revenue, COGS, and manufacturing, and familiarity with Tableau or Alteryx.
Preferred experience in the publishing or education domain and with IBM Planning Analytics (TM1).

Why work for us?

Let me find your next job.

Thanks - you're signed up.

Lead Data Engineer

Edtech.com's Summary

Lead Data Engineer Full Description

Research Analyst & BI Developer

Data Analyst, Research

Business Intelligence Analyst

Senior Data Scientist, Marketing

BI Data Architect