| Location | Charlotte, NC |
| Industry | Staffing/Employment Agencies |
| Salary | $67–$77 Per Hour |
| Company Size | 100 to 499 employees |
| Year Founded | 1984 |
| Website | https://www.mitchellmartin.com |
This position involves developing scalable applications using a popular scripting language. The role is hybrid, combining remote work with some onsite presence in the Northeast region. Candidates will work on both the back-end and front-end, utilizing various web frameworks and database technologies. Experience with cloud computing platforms and data analytics tools is essential.
Python | SQL | Bash | JavaScript | ReactJS | Django | Flask | FastAPI | Cloud Computing Platform | Data Analytics Tools | Relational Database Management Systems | Big Data Technologies | Version Control Systems | Data Visualization Tools | Data Integration and Workflow Orchestration Tools
By applying for this job, you agree to receive AI-generated calls, text messages, and/or emails from Mitchell Martin Inc and its affiliates and contracted partners at various frequency through traditional and automated methods. Message and data rates may apply for texts. Carriers are not liable for delayed or undelivered messages. You can access our privacy policy on our web site or here (https://www.mitchellmartin.com/privacy-policy).
Learn more about our benefits offerings on our web site or here (https://www.mitchellmartin.com/careers/benefits-perks)
Learn more about our Onboarding Process on our web site or here (https://youtu.be/rjV_NFYjyY4)
Learn more about our EEO policy on our web site or here (https://www.mitchellmartin.com/eoe-statement)
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It’s not just about filling job openings. It’s about enabling growth and inspiring success. That’s what we do.
Mitchell Martin is one of the nation’s largest staffing companies, with offices throughout the US as well as in India and the Philippines. We help drive success for both people and companies by helping them achieve positive growth. We do this by building strong relationships and developing a deep understanding of the people we work with, in order to facilitate the best matches for both sides of the equation.