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# Software Engineer Data Science Portfolio

- **Company:** Nmk Global Inc.
- **Location:** New York, NY, United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Unit Testing, Microsoft Azure, Cloud Computing, Cloud Engineering, Code Review, Continuous Integration, Information Engineering, Data Structures, DevOps, Distributed Systems, Integer Programming, Python (Programming Language), Machine Learning, NoSQL, Object-Oriented Software Development, Queueing Systems, Software Construction, Software Engineering, Software Systems, ReactJS, Flask (Web Framework), Backend, Fastapi, AngularJS, Integration Tests, Kubernetes, Optimization Algorithms, Cosmos DB, Machine Learning Operations, Front End Software Development, Restful APIs, Stream Processing, Docker, Databricks
- **Published:** June 10, 2026
- **Apply:** https://www.dice.com/job-detail/96907d7b-ce99-49d2-acbc-fed61b2d330d

## About the Role

* Python (Required)
 * Core Java (Preferred)

Backend Development

 * REST API Development
 * FastAPI / Flask
 * Object-Oriented Programming (OOP)
 * Strong class and object design principles

Data Engineering

 * NoSQL Databases (Cosmos DB preferred)
 * Databricks
 * Real-Time Data Streaming
 * Message Queues
 * Stream and Stateful Processing

MLOps / DevOps

 * Docker
 * Kubernetes
 * CI/CD Pipelines
 * Multi-environment Deployments

Cloud Technologies

 * Microsoft Azure (Required)
 * Experience with other cloud platforms is a plus

Software Engineering Fundamentals

 * Git/GitHub Workflows
 * Unit Testing
 * Integration Testing
 * Data Structures & Algorithms
 * Code Reviews

Front-End (Nice to Have)

 * React
 * Angular, * Experience supporting Machine Learning, Data Science, or Operations Research applications.
 * Exposure to optimization techniques and Mixed Integer Programming (MIP).
 * Understanding of machine learning concepts and model deployment.
 * Experience with distributed systems and cloud-native architectures.
 * Strong analytical and problem-solving skills.

## Description

We are seeking a Software Engineer to join the Data Science Portfolio team. This role is focused on building and supporting production-grade software systems that enable data science and machine learning solutions. The ideal candidate will have strong backend engineering experience, proficiency in Python, and a solid understanding of software engineering best practices, cloud technologies, and distributed systems., * Design, develop, and maintain scalable backend applications and services.

 * Build APIs and production systems supporting data science and machine learning workloads.
 * Collaborate closely with Data Scientists, Operations Research Engineers, Product Managers, and cross-functional teams.
 * Own features end-to-end, from development through deployment and production support.
 * Implement software engineering best practices, including code reviews, testing, and CI/CD processes.
 * Troubleshoot production issues and provide operational support.
 * Contribute to cloud-native and distributed system architectures.


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