Senior Database Engineer

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November 1

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Cambium Learning Group

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Education • Artificial Intelligence

Cambium Learning Group is a company focused on providing essential educational solutions through a family of companies. They create experiences designed to help educators and students succeed by leveraging technology, including artificial intelligence and machine learning. Cambium Learning Group's brands are among the most respected in the edtech sector, supporting meaningful work and innovation in education. Their commitment is reflected in their dedication to making every learning moment valuable and impactful.

501 - 1000 employees

Founded 2009

📚 Education

🤖 Artificial Intelligence

📋 Description

• Develop state of the art database solutions to meet the stringent performance, scalability and integrity needs of high transaction systems • Design database schema based on data modeling of business requirements and entities • Development work will involve writing stored procedures, functions, views, triggers, constraints, etc. • Create deployment and rollback scripts for all database objects manually or auto generated • Analyze access patterns and propose the best combination of indexes, constraints, foreign keys, and queries • Troubleshoot performance problems and propose short-term fixes and long-term solutions • Work with Architects and drive developers in the future evolution of the data layer researching options and developing prototypes before eventual introduction into the tech stack • Stay current with evolving databases, AWS, microservices, and cloud‑native technologies; prototype new tools/features for adoption

🎯 Requirements

• B.S. in Computer Science (or related field) and 5+ years related experience or M.S. Degree and 3+yrs of experience • 5+ years of hands-on SQL Server development experience • Expert knowledge of all aspects of SQL Server including the ability to write and deploy effective triggers, stored procedures and user defined functions • Authoritative understanding of SQL Server concurrency features, transactions, and locking • Excellent data modeling and schema design skills, including normalization and de-normalization • Thorough understanding of best practices for database maintenance, including index and file management, backups, failure recovery, database defragmentation, documentation • Basic SQL Server administration skills, such as backups, restores, taking and reverting snapshots, user/role security, access permissions, etc. • Experience operating SQL Server in AWS: Amazon RDS for SQL Server, RDS Custom, or SQL Server on EC2 • Familiarity with AWS microservices architecture: designing databases to support a microservice‑based application in AWS • Experience optimizing data access from microservices (e.g. minimizing cross‑service latency, designing efficient APIs, minimizing coupling) • Knowledge of containerization (Docker), orchestration (Kubernetes, AWS ECS/EKS) in microservices context

🏖️ Benefits

• Remote First Work Environment • Reimbursement to help cover the cost of setting up your home or remote office