[Hiring] Senior Data Engineer @McGraw Hill LLC.

Role Description

The Senior Data Engineer will play a key role in advancing McGraw Hill Education's (MHE) product eventing, data platforms, and analytics capabilities. This role focuses on designing scalable, reliable, and high-quality data solutions that transform learning interactions and product events into actionable learning insights.

• Collaborate closely with product managers, software engineers, and data teams to define and create meaningful events.
• Build end-to-end event pipelines and ensure data quality from learning interaction to learning insight.
• Strong hands-on expertise in AWS, Databricks, and modern event-driven data architectures.
• Experience designing real-time or near-real-time event pipelines, Delta Lake, and medallion (Bronze/Silver/Gold) data architecture patterns.
• Proficiency in SQL and Python or Scala for large-scale data transformation.
• Experience with Databricks Workflows, infrastructure-as-code, and CI/CD practices is a plus.

What You'll Do

• Define and create meaningful learning events, establish event standards, and build scalable, reliable event pipelines.
• Design, develop, and optimize parallel and distributed ETL/ELT pipelines using Apache Spark (PySpark/Scala) and Databricks.
• Build and maintain real-time and near-real-time event-driven data pipelines.
• Establish and maintain end-to-end data quality across event schemas, ingestion pipelines, transformations, and curated data products.
• Develop and maintain Databricks Workflows, including dependency management, retry policies, scheduling, monitoring, and alerting.
• Apply performance optimization techniques to improve pipeline efficiency, scalability, and throughput.
• Design and implement scalable data models using Delta tables.
• Apply modern data architecture and governance principles using Unity Catalog, Delta Sharing, and AWS-native lakehouse patterns.
• Use Git-based version control and project management tools such as Jira within Agile/Kanban delivery frameworks.
• Translate product and data requirements into technical designs and production-grade solutions.
• Develop high-quality solution design documentation, including event architecture, data flow diagrams, and pipeline specifications.

Qualifications

• Deep expertise in modern event-driven data and lakehouse architecture.
• 5+ years of experience in Data Engineering, focusing on tools and technologies such as Databricks, eventing & streaming architecture, and AWS.
• 3+ years of experience working with cloud platforms, primarily AWS.
• 1+ years of experience with workflow automation and pipeline orchestration.
• Experience collaborating with product platform teams to define event requirements and establish event schemas.
• Strong understanding of end-to-end event data quality.
• Experience optimizing high-volume event processing and distributed data pipelines.

Preferred Experience & Skills

• Experience with EdTech domain.

Benefits

• Annual salary range: $135,000 - $160,000, depending on job-related knowledge, skills, experience, and location.
• Annual bonus plan may be provided as part of the compensation package.
• Full range of medical and/or other benefits, depending on the position offered.