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Full Stack Senior Software Engineer
Job summary
Charlotte
Work model
Hybrid · 2 days home
2 weeks ago
Job description
Strategic Staffing Solutions Opportunity
This is a contract opportunity (W2 only, no C2C) with visa sponsorship available.
- Contract Length: 18+ Months
- Location: Charlotte, NC 28202 (Hybrid: 3 days on-site / 2 days remote)
- Ref#: 246467
Beware of scams: S3 never asks for money during its onboarding process.
Role Overview
We are seeking a Full Stack Senior Software Engineer (SE3) with 7-8+ years of experience supporting the development of data-driven platforms and applications. This role requires strong frontend and backend engineering experience along with exposure to data engineering and big data concepts.
The ideal candidate is a collaborative engineer capable of delivering end-to-end solutions, including frontend development, backend services, and data pipeline integration.
Key Responsibilities
- Design, develop, and maintain full stack applications supporting data platforms and reporting tools.
- Build and enhance data pipelines for ingesting and processing large volumes of data.
- Develop backend services using Java and microservices architecture.
- Develop backend components and tooling using Python.
- Create responsive and scalable frontend applications using Angular or React.
- Work with Big Data technologies such as Spark and Python for data processing.
- Collaborate with cross-functional teams to translate requirements into technical solutions.
- Ensure code quality, scalability, and application performance.
- Contribute to a collaborative engineering environment with strong adaptability and work ethic.
- Utilize GenAI tools where applicable to improve development productivity and efficiency.
Required Qualifications
- 7-8+ years of full stack software development experience.
- Strong experience with Java and microservices architecture.
- Hands-on experience with Angular or React.
- Working knowledge of Python.
- Experience developing and integrating APIs and backend services.
- Understanding of data platforms or data pipeline development.
- Ability to deliver end-to-end solutions from requirements through implementation.
- Strong problem-solving skills and ability to work effectively in a team environment.
Preferred Qualifications
- Experience with Python and Spark for big data processing.
- Exposure to data engineering or big data technologies.
- Familiarity with GenAI tools for software development productivity.
- Experience building regulatory or analytics-focused platforms.