Full Stack Engineer (Retail Analytics, Hybrid in MA)
Boston, Massachusetts
Full Time
$130k - $140k
Job Posting: Full Stack Engineer (Hybrid) - Retail Analytics
Location: Boston, MA (Hybrid)
Company Overview: Join a leading company in the retail analytics space, where we leverage data to empower businesses to make informed decisions. Our innovative solutions help retailers optimize operations, enhance customer experiences, and drive growth. We’re looking for a talented Full Stack Engineer to join our dynamic team and contribute to our mission.
Position Summary: As a Full Stack Engineer, you will be responsible for developing and maintaining our web applications, working on both the front end and back end. You will collaborate with cross-functional teams to create scalable and efficient solutions that meet our clients’ needs.
Key Responsibilities:
- Design, develop, and maintain web applications using React for the frontend and Python for the backend.
- Collaborate with product managers and designers to deliver intuitive and user-friendly interfaces.
- Implement RESTful APIs and integrate with various data sources.
- Ensure code quality and maintainability through best practices in software development.
- Optimize applications for maximum speed and scalability.
- Troubleshoot and resolve issues as they arise.
- Participate in code reviews and provide constructive feedback to peers.
Qualifications:
-
Must-Have:
- Strong experience with React and frontend development.
- Proficiency in Python for backend development.
- Familiarity with TypeScript and JavaScript.
- Solid understanding of web application architecture and design principles.
-
Nice-to-Have:
- Experience with SQL and relational databases.
- Knowledge of cloud services (AWS, Azure, etc.).
- Familiarity with version control systems (e.g., Git).
What We Offer:
- Competitive salary and benefits package.
- Flexible hybrid work environment.
- Opportunities for professional development and growth.
- Collaborative and inclusive team culture.
- Work on impactful projects in the retail analytics sector.