Sr Software Engineer

McGraw Hill; United States; Remote; USD 124,000 - 155,000; Full time

Job summary

McGraw Hill is seeking an experienced Senior Software Engineer with a strong data engineering background to join our Higher Education technology team. You will design, build, and maintain scalable data systems powering learning platforms and analytics, collaborating with data scientists, analysts, and product teams to ensure data accuracy and availability across the organization.

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

Qualifications

• 5+ years of software engineering experience
• 3+ years in data engineering
• Experience designing and deploying event-driven/streaming data integration solutions
• Hands-on with streaming platforms (Kafka, Kinesis, Pulsar, Confluent)
• Proficiency in Java, Python, or Golang
• Knowledge of JSON Schema and event design
• Experience with observability tooling (Prometheus, Grafana, Datadog)
• Cloud familiarity (AWS, GCP, or Azure)

Responsibilities

• Design and develop robust, scalable data pipelines to support educational platforms and analytics products
• Architect and maintain data infrastructure including data lakes, warehouses, and streaming systems
• Collaborate cross-functionally with product managers, data scientists, and instructional designers
• Lead and mentor junior engineers, conducting code reviews and promoting engineering best practices
• Optimize database performance, query efficiency, and data quality
• Ensure data governance, security, and compliance with institutional data policies
• Contribute to architectural decisions and technology roadmap planning
• Monitor and troubleshoot production data systems, ensuring high availability and reliability

Skills

Java

Python

Golang

Data pipelines

Event-driven design

Data governance

Strong collaboration

Education

Bachelor's degree in Computer Science or related field

Advanced degree a plus

Tools

Apache Kafka

AWS Kinesis

Apache Pulsar

Confluent Platform

Prometheus

Grafana

Datadog

Job description

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 seeking an experiencedSenior Software Engineer with a strong Data Engineering backgroundto join our Higher Education technology team. In this role, you will design, build, and maintain scalable data systems and software solutions that power learning platforms, institutional analytics, and student success initiatives.

You’ll work closely with data scientists, analysts, and product teams to ensure the availability and accuracy of data across the organization. This is a critical technical role that bridges data engineering and analytics, ensuring that our data infrastructure is scalable, reliable, and optimized for analytics and business intelligence.

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

What You’ll Do

• Design and develop robust, scalable data pipelines to support educational platforms and analytics products
• Architect and maintain data infrastructure including data lakes, warehouses, and streaming systems
• Collaborate cross-functionally with product managers, data scientists, and instructional designers to translate educational goals into technical solutions
• Lead and mentor junior engineers, conducting code reviews and promoting engineering best practices
• Optimize database performance, query efficiency, and data quality across systems
• Ensure data governance, security, and compliance with institutional data policies
• Contribute to architectural decisions and technology roadmap planning
• Monitor and troubleshoot production data systems, ensuring high availability and reliability

What You Bring:

1. • Bachelor's degree in Business, Information Technology, Computer Science or related field preferred. Advanced degree is a plus.
   • 5+ yearsof software engineering experience, with at least3 years in data engineering
   • Experience designing and deploying event-driven / streaming data integration solutions at production scale
   • Hands-on expertise with Apache Kafka or comparable streaming platforms (e.g., AWS Kinesis, Apache Pulsar, Confluent Platform)
   • Proficiency in one or more mainstream programming languages: Java, Python, or Golang
   • Strong working knowledge of JSON Schema and event schema design, including versioning and compatibility strategies
   • Demonstrated track record taking streaming solutions from initial design through to production deployment, QA/testing, and operational monitoring
   • Experience with observability tooling â metrics, alerting, and logging for streaming pipelines (e.g., Prometheus, Grafana, Datadog)
   • Familiarity with cloud-native data platforms (AWS, GCP, or Azure)
   • Strong communication and collaboration skills to work with technical and non-technical stakeholders
   • Knowledge of data governance, compliance, and security best practices.

Why work for us?

The work you do at McGraw Hill will be work that matters. We are collectively building experiences that will help shape 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 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.