Remote Senior Data Engineer — Databricks & Personalization

Mcgraw Hill; New York (NY); Remote; USD 124,000 - 140,000; Full time

Job summary

McGraw Hill is seeking a Senior Software Engineer (Databricks) to own data pipelines and analytics models in a Databricks lakehouse powering reports for educators and administrators. You will work with backend, UI, product, and data platform teams to shape how insights are delivered through reporting APIs and UIs.

The role focuses on data engineering in Databricks for Symphony and supports platforms like PRoPL, OpenLearning, and MHPlus.

Qualifications

• 5+ years of software or data engineering experience, including 3+ years building production data pipelines on Databricks or an equivalent Spark platform in AWS.
• Experience delivering production-grade, fault-tolerant software in a fast-paced environment with a distributed team.
• Advanced SQL skills, including tuning complex analytical queries over large datasets.
• Expertise in data warehousing, lakehouse concepts, data modeling, and cloud data architecture.
• Strong applied knowledge of several of: Unity Catalog governance, batch and incremental ETL/ELT, Spark performance tuning, REST services, AWS data services (Athena, Glue, EMR, Lambda), Terraform, GitHub Actions, and Git.
• A Bachelor's degree in Computer Science or a related field, or equivalent experience.

Responsibilities

• Translate business requirements into technical specifications and solution designs, partnering with product and engineering leaders
• Build and maintain scalable batch and incremental data pipelines using PySpark, Spark SQL, Delta Lake, and Databricks Workflows
• Design reporting data models using dimensional modeling and medallion (bronze/silver/gold) architecture
• Build and optimize the SQL serving layer in Unity Catalog, including views, materialized views, and table-valued functions
• Tune Spark and SQL performance and manage compute cost
• Own data quality, observability, and reliability through automation, testing, and monitoring
• Apply data governance and access controls through Unity Catalog
• Lead design reviews and mentor engineers on data engineering best practices

Skills

PySpark

SQL

Data warehousing

Unity Catalog

Terraform

GitHub Actions

AWS

Databricks

Python

Education

Bachelor's degree in Computer Science or related field

Tools

Databricks

Delta Lake

Unity Catalog

Spark SQL

AWS

Job description

McGraw Hill is seeking a Senior Software Engineer (Databricks) to own data pipelines and analytics models in a Databricks lakehouse powering reports for educators and administrators. You will work with backend, UI, product, and data platform teams to shape how insights are delivered through reporting APIs and UIs.

The role focuses on data engineering in Databricks for Symphony and supports platforms like PRoPL, OpenLearning, and MHPlus.