Database Expert Salary in Los Angeles, CA

Database Engineer, Lead/Expert - Average Salary $196,900

The Database Engineer, Lead/Expert designs, codes, tests, debugs, and documents complex databases at the highest levels of complexity. Develops or modifies procedures to solve complex database design problems, including performance, scalability, security and integration issues. Being a Database Engineer, Lead/Expert typically requires a bachelor's degree. Has full technical knowledge of all phases of database engineering. In addition, Database Engineer, Lead/Expert typically reports to a manager or head of a unit/department. Being a Database Engineer, Lead/Expert works on advanced, complex technical projects or business issues requiring state of the art technical or industry knowledge. Works autonomously. Goals are generally communicated in solution or project goal terms. May provide a leadership role for the work group through knowledge in the area of specialization. Working as a Database Engineer, Lead/Expert typically requires 10+ years of related experience.

Database Engineer V - Average Salary $196,840

Database Engineer V 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 V 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 V 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 V works autonomously. Goals are generally communicated in "solution" or project goal terms. May provide a leadership role for the work group through knowledge in the area of specialization. Works on advanced, complex technical projects or business issues requiring state of the art technical or industry knowledge. To be a Database Engineer V typically requires 10+ years of related experience.

DevOps Expert Engineer - Average Salary $188,400

The DevOps Expert Engineer monitor, troubleshoot, maintain, and continuously improve building, packaging, and deployment processes. Design, build and maintain a stable and efficient infrastructure to optimize service delivery across production, QA, and development environments throughout the development lifecycle. Being a DevOps Expert Engineer utilize a consistent DevOps approach to improve all phases of the process and ensure end-to-end quality across functions. Implement automated infrastructure capabilities like backups, security tools, monitoring. In addition, DevOps Expert Engineer knowledge of deployment/configuration management tools like Jenkins, Maven, Puppet, or Ansible. Utilizes version control tools like GIT, Bitbucket, SVN, or CVS. Experienced with network infrastructure, database, cloud and data center operations, and security protocols. Strong knowledge of Linux and/or Windows OS. Understands AWS and other services. Experience with programming and scripting with languages like Python, Perl, Bash, PHP, Java, SQL, or C++. Typically requires a bachelor's degree. Typically reports to a manager or head of a unit/department. Being a DevOps Expert Engineer works autonomously. Goals are generally communicated in "solution" or project goal terms. May provide a leadership role for the work group through knowledge in the area of specialization. Works on advanced, complex technical projects or business issues requiring state of the art technical or industry knowledge. Working as a DevOps Expert Engineer typically requires 10+ years of related experience.

Expert - Average Salary $57,335

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Data Scientist/Analytics, Expert Advisory - Average Salary $198,500

The Data Scientist/Analytics, Expert Advisory interprets results from multiple sources using a variety of techniques, ranging from simple data aggregation via statistical analysis to complex data mining independently. Identifies business trends and problems through complex big data analysis. Being a Data Scientist/Analytics, Expert Advisory prepares big data, implements data models and develops database to support the business solutions. Designs, develops and implements the most valuable business solutions for the organization. In addition, Data Scientist/Analytics, Expert Advisory typically requires an advanced degree. Typically reports to a manager or head of a unit/department. Works autonomously. Goals are generally communicated in solution or project goal terms. May provide a leadership role for the work group through knowledge in the area of specialization. Works on advanced, complex technical projects or business issues requiring state of the art technical or industry knowledge. Typically requires 10+ years of related experience. Being a Data Scientist/Analytics, Expert Advisory works autonomously. Goals are generally communicated in "solution" or project goal terms. May provide a leadership role for the work group through knowledge in the area of specialization. Works on advanced, complex technical projects or business issues requiring state of the art technical or industry knowledge. Working as a Data Scientist/Analytics, Expert Advisory typically requires 10+ years of related experience.