Overview
On Site
$80 - $100
Contract - W2
Skills
ES6
react
Job Details
Full Stack Developer
Mountain View, CA
Our Client is into a data monetization and analytics platform dedicated to transforming data into valuable assets. Our mission is to empower businesses to leverage their data for revenue generation, strategic insights, and enhanced decision-making. We are looking for a skilled Fullstack Developer to join our dynamic team and contribute to building innovative solutions that drive the data economy.
Required Skills and Qualifications:
Proficient in JavaScript, with a strong understanding of ES6+ syntax.
Extensive experience with ReactJS and its core principles (such as React hooks, Redux).
Strong knowledge of NodeJS and related frameworks (e.g., Express).
Experience with RESTful APIs and integration with frontend applications.
Familiarity with modern frontend build pipelines and tools (e.g., Webpack, Babel, NPM/Yarn).
Understanding of HTML5, CSS3, and responsive design principles.
Experience with version control systems, preferably Git.
Required Skills and Qualifications:
Proficient in JavaScript, with a strong understanding of ES6+ syntax.
Extensive experience with ReactJS and its core principles (such as React hooks, Redux).
Strong knowledge of NodeJS and related frameworks (e.g., Express).
Experience with RESTful APIs and integration with frontend applications.
Familiarity with modern frontend build pipelines and tools (e.g., Webpack, Babel, NPM/Yarn).
Understanding of HTML5, CSS3, and responsive design principles.
Experience with version control systems, preferably Git.
Additional Competencies:
Knowledge of database systems, both SQL (e.g., PostgreSQL, MySQL) and NoSQL (e.g., MongoDB).
Experience with cloud services (e.g., AWS, Azure, Google Cloud) and containerization (e.g., Docker, Kubernetes) is a plus.
Familiarity with data analytics, data monetization, or related fields is advantageous.
Knowledge of database systems, both SQL (e.g., PostgreSQL, MySQL) and NoSQL (e.g., MongoDB).
Experience with cloud services (e.g., AWS, Azure, Google Cloud) and containerization (e.g., Docker, Kubernetes) is a plus.
Familiarity with data analytics, data monetization, or related fields is advantageous.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.