Database Engineer

South College is one of the nation’s fastest growing institutions of higher learning, dedicated to providing a high-quality education that prepares students for success. The Database Engineer will be responsible for the design, implementation, security, maintenance, and performance optimization of the college’s databases, collaborating with various departments to support institutional goals.

Responsibilities:

• Install, configure, and maintain database management systems (e.g., SQL Server, Oracle, MySQL, PostgreSQL)
• Monitor database performance, implement tuning, and troubleshoot issues to ensure optimal efficiency
• Perform regular backups, disaster recovery planning, and restoration testing
• Implement and maintain security protocols to safeguard student, employee, and institutional data in compliance with FERPA and other regulations
• Manage access controls and monitor database activity to detect unauthorized use
• Ensure compliance with institutional policies and accreditation requirements
• Support integrations between the college’s Student Information System (SIS), Learning Management System (LMS), CRM, and other applications
• Develop and maintain documentation for database structures, procedures, and processes
• Work closely with software developers and vendors to optimize database-driven applications
• Participate in system upgrades, migrations, and new software implementations
• Assist with automation of routine data processes and workflows
• Provide technical support to staff and faculty regarding database-related issues
• Train end-users and team members on data best practices and security procedures

Requirements:

• Bachelor's degree in computer science, Information Systems, Statistics, or a related field
• 3-5 years' experience as a Data Base Engineer, Data Architect, or similar role, with hands-on experience in designing and implementing data solutions
• Proficiency in programming languages such as Python, SQL, or Scala, with experience in data manipulation, transformation, and analysis
• Strong understanding of database systems, data modeling, and ETL principles, with experience in relational databases (e.g., MS SQL Server, MySQL) and NoSQL databases
• Experience working with cloud platforms and services (e.g., AWS, Azure, Google Cloud) and big data technologies (e.g., Hadoop, Spark, Kafka)
• Familiarity with data visualization tools and BI platforms (e.g., Tableau, Power BI) and statistical analysis tools (e.g., R, Python libraries)
• Excellent problem-solving skills, attention to detail, and ability to manage complex data engineering projects
• Effective communication and interpersonal skills, with the ability to collaborate with diverse stakeholders
• Experience in the education sector or knowledge of academic systems and processes is a plus