Cloud Data Engineer Jobs at Microsoft with Visa Sponsorship
Cloud Data Engineer roles at Microsoft sit at the intersection of large-scale infrastructure and enterprise data platforms, working across Azure, Synapse, and Fabric. Microsoft has a well-established immigration program and regularly sponsors work visas for qualified engineers in this function, covering multiple visa categories.
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Overview
Do you want to build a foundational platform that powers global AI experiences across languages? You will join the Azure AI Translation and Language team, developing large-scale distributed systems that enable reliable, high-performance translation and language services used across Microsoft products including infrastructure supporting large-scale model inference workloads. Our platform underpins real-time communication for millions of users worldwide.
As a Principal Software Development Engineer, you will lead the design and evolution of core infrastructure systems that support Azure AI translation and language services at scale. You’ll work on high-impact challenges across distributed systems, service reliability, and platform architecture. This role offers opportunities to shape foundational systems, drive engineering excellence, and operate in a flexible hybrid work environment.
Microsoft’s mission is to empower every person and every organization on the planet to achieve more, and we’re dedicated to this mission across every aspect of our company. Our culture is centered on embracing a growth mindset and encouraging teams and leaders to bring their best each day. Join us and help shape the future of the world.
Responsibilities
- Lead the design and implementation of large-scale, distributed systems that power Azure AI translation and language services.
- Define and evolve platform architecture for high availability, scalability, and performance across global deployments.
- Drive improvements in reliability, fault tolerance, and operational excellence for mission-critical services.
- Build and enhance core infrastructure components such as service orchestration, workload management, and data pipelines.
- Establish best practices for service observability, monitoring, alerting, and incident response.
- Collaborate with partner teams (including applied science and product teams) to enable robust and scalable service integrations.
- Mentor engineers and set a high bar for system design, code quality, and engineering rigor across the team.
Qualifications
Required Qualifications:
- Bachelor’s Degree in Computer Science, Engineering, or related field AND 6+ years of software development experience with coding in languages including, but not limited to, C, C++, C#, Java, or Rust
- 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:
- 5+ years of experience designing and building large-scale distributed systems or cloud infrastructure.
- Experience building and operating highly available services with strict requirements for latency, scalability, and reliability.
- Experience with cloud platforms (e.g., Azure) and service-oriented or microservices architectures.
- Experience building infrastructure for AI/ML services, such as model serving platforms, data processing systems, or training pipelines.
- Experience with system performance optimization, capacity planning, and cost-efficiency at scale.
- Experience designing globally distributed systems and handling multi-region deployments.
- Experience with reliability engineering practices, including incident management and postmortem analysis.
- Programming experience in Python.
- Master’s or PhD in Computer Science, Engineering, or related field.
Compensation
- The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 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 $188,000 - $304,200 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.

Overview
Do you want to build a foundational platform that powers global AI experiences across languages? You will join the Azure AI Translation and Language team, developing large-scale distributed systems that enable reliable, high-performance translation and language services used across Microsoft products including infrastructure supporting large-scale model inference workloads. Our platform underpins real-time communication for millions of users worldwide.
As a Principal Software Development Engineer, you will lead the design and evolution of core infrastructure systems that support Azure AI translation and language services at scale. You’ll work on high-impact challenges across distributed systems, service reliability, and platform architecture. This role offers opportunities to shape foundational systems, drive engineering excellence, and operate in a flexible hybrid work environment.
Microsoft’s mission is to empower every person and every organization on the planet to achieve more, and we’re dedicated to this mission across every aspect of our company. Our culture is centered on embracing a growth mindset and encouraging teams and leaders to bring their best each day. Join us and help shape the future of the world.
Responsibilities
- Lead the design and implementation of large-scale, distributed systems that power Azure AI translation and language services.
- Define and evolve platform architecture for high availability, scalability, and performance across global deployments.
- Drive improvements in reliability, fault tolerance, and operational excellence for mission-critical services.
- Build and enhance core infrastructure components such as service orchestration, workload management, and data pipelines.
- Establish best practices for service observability, monitoring, alerting, and incident response.
- Collaborate with partner teams (including applied science and product teams) to enable robust and scalable service integrations.
- Mentor engineers and set a high bar for system design, code quality, and engineering rigor across the team.
Qualifications
Required Qualifications:
- Bachelor’s Degree in Computer Science, Engineering, or related field AND 6+ years of software development experience with coding in languages including, but not limited to, C, C++, C#, Java, or Rust
- 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:
- 5+ years of experience designing and building large-scale distributed systems or cloud infrastructure.
- Experience building and operating highly available services with strict requirements for latency, scalability, and reliability.
- Experience with cloud platforms (e.g., Azure) and service-oriented or microservices architectures.
- Experience building infrastructure for AI/ML services, such as model serving platforms, data processing systems, or training pipelines.
- Experience with system performance optimization, capacity planning, and cost-efficiency at scale.
- Experience designing globally distributed systems and handling multi-region deployments.
- Experience with reliability engineering practices, including incident management and postmortem analysis.
- Programming experience in Python.
- Master’s or PhD in Computer Science, Engineering, or related field.
Compensation
- The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 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 $188,000 - $304,200 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.
See all 75+ Cloud Data Engineer at Microsoft jobs
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Get Access To All JobsTips for Finding Cloud Data Engineer Jobs at Microsoft Jobs
Align your experience with Azure-native pipelines
Microsoft's Cloud Data Engineer roles consistently emphasize Azure Data Factory, Synapse Analytics, and Databricks. Tailor your resume to reflect hands-on work with these tools specifically, not just generic cloud or ETL experience, before you apply.
Target teams hiring through internal Microsoft reqs
Microsoft posts Cloud Data Engineer openings across divisions with different timelines. Prioritize roles listed under Azure Engineering or the Cloud and AI division, where sponsorship for H-1B and E-3 applicants is most consistently initiated at the offer stage.
Clarify your visa category before signing
Microsoft sponsors multiple visa types for this role. Before accepting an offer, confirm with the recruiting team whether they're filing an H-1B cap-subject petition, an E-3 for Australian citizens, or transferring an existing status so you understand your timeline.
Prepare your credentials for specialty occupation documentation
USCIS requires your degree to directly support a specialty occupation claim. For Cloud Data Engineer roles, a degree in computer science, information systems, or a closely related field strengthens the petition. Gather official transcripts and any degree equivalency evaluations early.
Browse verified Microsoft openings through Migrate Mate
Identifying which Microsoft Cloud Data Engineer postings are actively sponsoring can save weeks of outreach. Use Migrate Mate to filter confirmed sponsoring roles at Microsoft and surface openings matched to your visa type before applying.
Account for LCA timing in your start date negotiation
Before Microsoft can file your H-1B or E-3 petition, the DOL must certify a Labor Condition Application, which typically takes seven business days. Build this into your negotiated start date so onboarding isn't delayed by a filing sequence your recruiter may not flag upfront.
Cloud Data Engineer at Microsoft jobs are hiring across the US. Find yours.
Find Cloud Data Engineer at Microsoft JobsFrequently Asked Questions
Does Microsoft sponsor H-1B visas for Cloud Data Engineers?
Yes, Microsoft sponsors H-1B visas for Cloud Data Engineer roles. The H-1B is the most common visa category used for this function at Microsoft, covering both cap-subject new petitions and transfers from existing H-1B holders. If you're already on an H-1B with another employer, Microsoft can file an H-1B transfer that lets you start working before USCIS issues a final decision.
How do I apply for Cloud Data Engineer jobs at Microsoft?
Applications go through Microsoft's careers portal, where Cloud Data Engineer roles are posted by team and location. Roles in Azure Engineering and the Cloud and AI division are the most active for this function. Tailor your application to reflect Azure-specific tooling such as Synapse, Data Factory, or Fabric. You can also browse verified Microsoft Cloud Data Engineer openings that include sponsorship details on Migrate Mate before applying.
Which visa types does Microsoft use for Cloud Data Engineer roles?
Microsoft sponsors H-1B, E-3, and H-1B1 visas for Cloud Data Engineers, along with Green Card sponsorship through the EB-2 and EB-3 employment-based preference categories. E-3 is available exclusively to Australian citizens and bypasses the H-1B lottery. H-1B1 is for Chilean and Singaporean nationals. The right category depends on your citizenship and current immigration status.
What qualifications does Microsoft expect for Cloud Data Engineer roles?
Microsoft typically looks for a bachelor's degree or higher in computer science, software engineering, or a related technical field, combined with hands-on experience building and maintaining cloud data pipelines at scale. Proficiency with Azure-native services such as Data Factory, Synapse Analytics, and Databricks carries significant weight. Experience with distributed systems, data modeling, and programming in Python, SQL, or Scala is consistently required across postings.
How long does the visa sponsorship process take for a Microsoft Cloud Data Engineer offer?
Timeline depends on the visa category. For H-1B cap-subject petitions, the process is tied to the annual lottery, with employment starting October 1 at the earliest. For H-1B transfers or E-3 applications, the DOL Labor Condition Application takes roughly seven business days, and E-3 consular appointments in Australia currently run two to four weeks. Premium processing through USCIS is available for H-1B petitions and returns a decision within 15 business days.
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