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Microsoft
Posted 1w ago

Data Engineer

Microsoft
Redmond, Washington, United States
$102k-$202k/yrHybridFull Time
Responsibilities
  • designing services
  • building APIs
  • implementing security
Requirements
  • Master's degree plus 1+ year or bachelor's degree plus 2+ years in analytics
  • Data science
  • Software development
  • Modeling, or engineering
  • Equivalent experience accepted. Security screening required
Technical tools mentioned
C#.NETJavaC++Microsoft AzureKubernetesREST APIsCI/CDDevOps

Job description

Overview

The Scale & Partner AI Experiences organization is transforming how Microsoft partners engage, transact, and grow through AI-first platforms and secure partner experiences. Our team builds the foundational services that power Partner Center, Cloud Solution Provider (CSP), partner onboarding, program enrollment, identity, authorization, and security experiences across Microsoft's global partner ecosystem.

 

We are looking for a Data Engineer who is about building highly scalable cloud services, secure platforms, and modern partner onboarding experiences. You will work on critical platform capabilities including account enrollment, authorization, partner identity, security compliance, AI-enabled experiences, and shared services used across Partner Center and the broader Microsoft partner ecosystem.

 

This role offers an opportunity to work on systems that support millions of partner and customer interactions while directly contributing to Microsoft's AI-first transformation.



Responsibilities

· Design, implement, and maintain scalable distributed services that support partner onboarding, account enrollment, security, and Partner Center platform capabilities.

· Build APIs and platform components that enable partner lifecycle management, account provisioning, and partner program enrollment.

· Develop secure, reliable, and high-performance cloud-native services using modern engineering practices.

· Implement security-first solutions including authentication, authorization, MFA enforcement, identity management, and access controls.

· Drive improvements in availability, latency, resiliency, and observability across shared platform services.

· Leverage AI-powered engineering tools and modern development practices to improve productivity and software quality.

· Contribute to emerging AI-enabled experiences that enhance partner engagement and platform operations.

· Explore opportunities to apply intelligent automation and agent-based solutions within engineering workflows.



Qualifications

Required/minimum qualifications

Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 1+ year(s) experience in business analytics, data science, software development, data modeling, or data engineering OR Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 2+ years experience in business analytics, data science, software development, data modeling, or data engineering OR equivalent experience.
 

Other Requirements

Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check. This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.  

 

Preferred Qualifications

· 3+ years of professional software development experience.

· Experience developing applications using one or more of:

o C#

o .NET

o Java

o C++

· Experience designing and building REST APIs, microservices, or distributed systems.

· Experience with cloud platforms such as Microsoft Azure.

· Problem-solving, debugging, and software design skills.

· Experience building large-scale distributed services or enterprise platforms.

· Experience with authentication, authorization, identity, or security-related systems.

· Experience working with cloud-native architectures, containers, or Kubernetes.

· Familiarity with Partner Center, subscription services, or commerce-related systems.

· Experience with CI/CD pipelines, automation, and DevOps practices.

· Experience leveraging AI tools to improve engineering productivity and operational efficiency.

· Communication skills and ability to collaborate effectively across teams.

#CEAIjobs



Data Engineering IC3 - The typical base pay range for this role across the U.S. is USD $102,100 - $202,200 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $133,800 - $219,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay


This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.




Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

About Microsoft

Multinational technology providing software, cloud, and AI solutions.

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