Software Engineer Data Science Portfolio

Software Engineer Data Science Portfolio

Posted 2 weeks ago by NMK Global Inc.

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Negotiable
Undetermined
Remote
Remote
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Application Programming Interface (API) Authorisation (Computing) Azure Cosmos DB Cloud Computing Cloud Technologies Cloud Technology Continuous Integration and Continuous Delivery Data Science Generic Programming Integer Programming Java (Programming Language) Machine Learning Microsoft Azure Nice (Unix Utility) Object-Oriented Programming (OOP) Operations Research Python (Programming Language) Software Development Software Engineering Software Systems

Summary: We are seeking a Software Engineer for the Data Science Portfolio team, focused on developing and supporting production-grade software systems for data science and machine learning. The ideal candidate will possess strong backend engineering skills, particularly in Python, and a solid grasp of software engineering best practices and cloud technologies. This role emphasizes collaboration with cross-functional teams and ownership of features from development to production support. Candidates with a pure Data Scientist background will not be considered.

Key Responsibilities:

  • 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.

Key Skills:

  • Proficiency in Python (Required)
  • Core Java (Preferred)
  • REST API Development
  • FastAPI / Flask
  • Object-Oriented Programming (OOP)
  • NoSQL Databases (Cosmos DB preferred)
  • Databricks
  • Real-Time Data Streaming
  • Message Queues
  • Stream and Stateful Processing
  • Docker
  • Kubernetes
  • CI/CD Pipelines
  • Microsoft Azure (Required)
  • Git/GitHub Workflows
  • Unit Testing
  • Integration Testing
  • Data Structures & Algorithms
  • React (Nice to Have)
  • Angular (Nice to Have)
  • 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.

Salary (Rate): undetermined

City: undetermined

Country: undetermined

Working Arrangements: remote

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

Job Title: Software Engineer Data Science Portfolio

Location: New York

Employment Type: Contract

Experience Required: 4 6+ Years

Job Summary

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.

Note: This is a Software Engineering role supporting Data Science initiatives. Candidates with pure Data Scientist backgrounds will not be considered.

Key Responsibilities

  • 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.

Required Technical Skills

Programming Languages

  • 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

Preferred Qualifications

  • 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.

Required Candidate Information

  • Updated Resume
  • LinkedIn Profile URL (Mandatory)
  • Availability to Interview
  • Work Authorization Status
  • Current Location
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