Sr Software Engineer

McGraw Hill LLC. • UNAVAILABLE, UNAVAILABLE

8d • Remote

About The Position

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.

We are seeking an experienced Senior Software Engineer with a strong Data Engineering background to 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.

Requirements

• 5+ years of software engineering experience, with at least 3 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 — 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.

Nice To Haves

• Advanced degree is a plus.

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 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

Benefits

• An annual bonus plan may be provided as part of the compensation package
• a full range of medical and/or other benefits, depending on the position offered.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior