Database Engineer plans, designs, develops, and manages an organization's databases to ensure efficient data storage, access, and security. Collaborates with users to design, code, test, debug, and deploy databases that meet requirements and organizational needs. Being a Database Engineer writes queries, stored procedures and functions for database development. Monitors databases' performance, scalability, and security and modifies procedures to optimize database designs. Additionally, Database Engineer evaluates existing database design to determine necessary updates, performance tuning, and integration requirements. Possesses comprehensive knowledge of database technologies and solid coding and computer system skills. Requires a bachelor's degree. Typically reports to a manager. The Database Engineer work is closely managed. Works on projects/matters of limited complexity in a support role. To be a Database Engineer typically requires 0-2 years of related experience. (Copyright 2024 Salary.com)
Provides technical expertise for database design, development, implementation, information storage and retrieval, data flow and analysis. Develops relational and/or Object Oriented databases, database parser software, and database loading software. Projects long-range requirements for database administration and design. Responsible for developing a database structure that fits into the overall architecture of the system under development and has to make trades among data volumes, number of users, logical and physical distribution, response times, retention rules, security and domain controls. The DBE works primarily at the front end of the lifecycle requirements through system acceptance testing and Initial Operational Capability (IOC). Develops requirements from a project’s inception to its conclusion for a particular business and Information Technology (IT) subject matter area (i.e., simple to complex systems). Assist with recommendations for, and analysis and evaluation of systems improvements, optimization, development, and/or maintenance efforts. Translates a set of requirements and data into a usable document by creating or recreating ad hoc queries, scripts, and macros; updates existing queries, creates new ones to manipulate data into a master file; and builds complex systems using queries, tables, Open Database Connectivity and database storage and retrieval using Cloud methodologies.