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Analytics Software Engineer (Core Platform Developer)
Job Description
Analytics Software Engineer (Core Platform Developer) at NavitasPartners, onsite in Yonkers, NY, focusing on analytics applications, data pipelines, and microservices within a mission-critical data platform.
Responsibilities
- Design, build, and expand analytics applications embedded in a core data platform
- Create reusable components, plugins, and APIs to extend analytics capabilities
- Develop and maintain microservices for data processing and analytics workflows
- Design and implement data pipelines to process flight test and mission data
- Ensure data integrity, scalability, and performance across extensive data sets
- Incorporate multiple data sources into centralized analytics platforms
- Develop solutions for containerized and cloud-edge environments
- Utilize Docker and Kubernetes for deployment and orchestration
- Contribute to CI/CD pipelines using modern DevOps tooling
- Collaborate with data scientists, analysts, and systems engineers across teams
- Participate in code reviews, testing, and debugging activities
- Adhere to software development best practices, version control, and documentation
Requirements
- Proficiency in Python, Java, or C++
- Hands-on experience building RESTful APIs
- Experience working with Linux-based systems
- Familiarity with Docker and Kubernetes
- Experience with GitLab and CI/CD pipelines
- Strong understanding of software engineering principles and scalable system design
Technologies
- Python
- Java
- C++
- REST API
- Linux
- Docker
- Kubernetes
- GitLab
- CI/CD pipelines
Role Overview
We are seeking a skilled analytics software engineer to develop and enhance advanced analytics applications within a mission-critical data platform. The role focuses on building scalable analytics solutions, data pipelines, and microservices to support complex test and mission data processing. The ideal candidate will bring strong software engineering fundamentals, experience with data-intensive systems, and exposure to defence or test and evaluation environments.
Key Competencies
- Strong problem-solving and analytical thinking
- Capability to operate in complex, data-heavy environments
- Effective communication and collaboration across teams
- Adaptability to fast-paced and evolving technical requirements
Preferred Qualifications
- Experience in Test & Evaluation (T&E) systems
- Background in defence RDT&E environments
- Familiarity with big data analytics frameworks
- Experience with mission-critical or real-time data systems
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