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Full Stack Engineer Jobs
Company | Vertedge Health Analytics |
Address | Texas, United States |
Employment type | FULL_TIME |
Salary | |
Expires | 2023-07-18 |
Posted at | 10 months ago |
Vertedge Health Analytics is currently looking for a skilled and motivated Full Stack Engineer to join our dynamic team. As a Full Stack Engineer, you will have a crucial role in the design, development, and maintenance of our software applications. Experience working with healthcare data, particularly claims data, is strong recommended. If you are passionate about creating innovative solutions, enjoy working with cutting-edge technologies, and thrive in a collaborative environment, this opportunity is perfect for you!
Responsibilities
- Participate in code reviews and provide constructive feedback to improve code quality.
- Stay up-to-date with industry trends and technologies to drive innovation.
- Implement and maintain RESTful APIs for seamless data communication.
- Troubleshoot and debug issues to ensure smooth application performance.
- Collaborate with cross-functional teams to gather and analyze requirements.
- Build intuitive and responsive user interfaces using JavaScript/TypeScript.
- Design and develop scalable and efficient backend solutions using Python and PostgreSQL.
Qualifications
- Excellent problem-solving skills and attention to detail.
- Option 1: BS degree in computer science, computer engineering, computer information systems, software engineering, or related area and 3 years' experience in software engineering or related area
- Strong experience in backend development using Python.
- Familiarity with web development concepts (HTML, CSS, etc.).
- Option 2: 5 years' experience in software engineering or related area
- Solid understanding of JavaScript/TypeScript and modern frontend frameworks.
- Proficiency in working with PostgreSQL or similar relational databases.
- Strong communication and teamwork abilities.
Recommended Skills & Experiences
- Experience with graph databases such as Neo4j.
- Background in data engineering and analytics.
- Experience working with healthcare data, particularly claims data, is strongly recommended.
- Knowledge of AWS DevOps practices and tools.
- Experience with BI Dashboards, such as AWS QuickSight.
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