Data Engineer Jobs at Microsoft with Visa Sponsorship
Microsoft builds its data engineering teams around professionals who design and maintain large-scale data pipelines, cloud infrastructure, and analytics platforms. The company has a consistent track record of sponsoring work visas across multiple categories, making it a realistic target for international Data Engineers at various career stages.
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The Copilot and Platform Ecosystem (CAPE) team at Microsoft is responsible for enabling customer and partner success through Copilot and collaborative solutions that drive measurable business value at scale.
CAPE is hiring a Data Engineer II to join our Data & Engineering team, where we build and operate the data pipelines, platforms, and reliability foundations that power leadership reporting, Copilot insights, agent experiences, and operational decision-making across M365 Copilot, Copilot in Teams, and Microsoft Teams.
In this role, you will design, build, and maintain scalable data pipelines that ingest, transform, and serve high-volume telemetry and business data. You will work closely with Data Scientists, Product Managers, and Engineers to ensure data is trusted, explainable, fresh, and cost-efficient, enabling downstream analytics, alerts, dashboards, and agents.
Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees, we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
Responsibilities
- Partner with stakeholders to define and document data requirements (access, cadence, ownership) and assess feasibility and total cost of ownership (TCO).
- Define data contracts and ownership boundaries with upstream system owners.
- Design and maintain scalable data pipelines that ingest and load data into analytical platforms (e.g., Azure Data Explorer/Kusto).
- Implement data validation and quality checks to meet SLAs for accuracy, completeness, freshness, and reliability.
- Build orchestration and automation for dependable, repeatable data movement.
- Transform and model data (joins, aggregations, enrichment) to power downstream datasets, dashboards, alerts, and agent experiences; contribute through code reviews and shared tooling.
- Operationalize pipelines with monitoring, troubleshooting/runbooks, root-cause analysis, performance/cost optimization, and compliance/governance (classification, tagging, lineage, and access control).
Qualifications
Required 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:
- 5+ years of experience in data engineering or software engineering.
- Experience with Azure data platforms such as Azure Data Explorer (Kusto) or Cosmos DB.
- Experience supporting analytics, reporting, or data science workloads.
- Familiarity with orchestration, monitoring, and alerting for production data systems.
- Strong ownership and operational accountability.
- Experience building and maintaining data pipelines using SQL or programmatic tooling.
- Experience working with cloud-based data platforms.
- Understanding of data quality, validation, and operational reliability concepts.
Data Engineering IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 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 $131,400 - $215,400 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
The Copilot and Platform Ecosystem (CAPE) team at Microsoft is responsible for enabling customer and partner success through Copilot and collaborative solutions that drive measurable business value at scale.
CAPE is hiring a Data Engineer II to join our Data & Engineering team, where we build and operate the data pipelines, platforms, and reliability foundations that power leadership reporting, Copilot insights, agent experiences, and operational decision-making across M365 Copilot, Copilot in Teams, and Microsoft Teams.
In this role, you will design, build, and maintain scalable data pipelines that ingest, transform, and serve high-volume telemetry and business data. You will work closely with Data Scientists, Product Managers, and Engineers to ensure data is trusted, explainable, fresh, and cost-efficient, enabling downstream analytics, alerts, dashboards, and agents.
Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees, we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
Responsibilities
- Partner with stakeholders to define and document data requirements (access, cadence, ownership) and assess feasibility and total cost of ownership (TCO).
- Define data contracts and ownership boundaries with upstream system owners.
- Design and maintain scalable data pipelines that ingest and load data into analytical platforms (e.g., Azure Data Explorer/Kusto).
- Implement data validation and quality checks to meet SLAs for accuracy, completeness, freshness, and reliability.
- Build orchestration and automation for dependable, repeatable data movement.
- Transform and model data (joins, aggregations, enrichment) to power downstream datasets, dashboards, alerts, and agent experiences; contribute through code reviews and shared tooling.
- Operationalize pipelines with monitoring, troubleshooting/runbooks, root-cause analysis, performance/cost optimization, and compliance/governance (classification, tagging, lineage, and access control).
Qualifications
Required 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:
- 5+ years of experience in data engineering or software engineering.
- Experience with Azure data platforms such as Azure Data Explorer (Kusto) or Cosmos DB.
- Experience supporting analytics, reporting, or data science workloads.
- Familiarity with orchestration, monitoring, and alerting for production data systems.
- Strong ownership and operational accountability.
- Experience building and maintaining data pipelines using SQL or programmatic tooling.
- Experience working with cloud-based data platforms.
- Understanding of data quality, validation, and operational reliability concepts.
Data Engineering IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 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 $131,400 - $215,400 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 247+ Data Engineer at Microsoft jobs
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Get Access To All JobsTips for Finding Data Engineer Jobs at Microsoft Jobs
Align your skills with Azure-first pipelines
Microsoft's data engineering roles heavily emphasize Azure Data Factory, Synapse Analytics, and Databricks. Hands-on experience with these specific tools signals immediate productivity and directly supports your specialty occupation case for H-1B or E-3 petitions.
Target teams posting data platform roles
Microsoft's job listings often distinguish between data infrastructure, BI engineering, and ML platform work. Applying to roles that match your exact background improves your odds of clearing the recruiter screen and reaching a hiring manager who can advocate for sponsorship.
Confirm your visa type before negotiating the offer
Microsoft sponsors H-1B, E-3, and H-1B1 visas for this role. If you're Australian or from Singapore, clarifying your eligibility for E-3 or H-1B1 early avoids unnecessary delays, since these bypass the H-1B lottery and have faster DOL Labor Condition Application timelines.
Request USCIS premium processing during offer negotiations
For roles with a start date tied to a project launch or team headcount deadline, ask Microsoft's immigration team whether premium processing is available. USCIS currently processes premium petitions within 15 business days, which matters if you're transitioning from OPT or a 60-day grace period.
Prepare a degree-to-role equivalency brief
Microsoft's data engineering positions typically require a bachelor's degree in computer science, engineering, or a related technical field. If your degree is from outside the U.S. or in a tangential discipline, gather a credential evaluation through a NACES-member organization before the offer stage.
Use Migrate Mate to filter open Data Engineer roles at Microsoft
Not all of Microsoft's posted openings are visa-sponsorship-eligible. Use Migrate Mate to filter verified Data Engineer positions at Microsoft by visa type so you're only spending time on roles where sponsorship is confirmed and active.
Data Engineer at Microsoft jobs are hiring across the US. Find yours.
Find Data Engineer at Microsoft JobsFrequently Asked Questions
Does Microsoft sponsor H-1B visas for Data Engineers?
Yes, Microsoft sponsors H-1B visas for Data Engineers. The company works with in-house immigration counsel to file H-1B petitions, including during the annual April lottery cycle for cap-subject candidates. If you're currently on OPT or another status and receive an offer, Microsoft's immigration team typically initiates the Labor Condition Application with DOL as part of onboarding preparation.
Which visa types does Microsoft commonly sponsor for Data Engineer roles?
Microsoft sponsors H-1B, E-3, H-1B1, and Green Card pathways including EB-2 and EB-3 for Data Engineers. Australian citizens are often routed to the E-3, which avoids the H-1B lottery entirely. Singaporean nationals may qualify for the H-1B1. Your nationality and current status will determine which visa path applies, and Microsoft's immigration team handles the process once an offer is extended.
How do I apply for Data Engineer jobs at Microsoft?
Applications go through Microsoft's careers portal, where you can filter by role title and location. Roles are posted at multiple seniority levels, typically aligned to Microsoft's internal SDE or data engineering job families. Tailor your resume to highlight distributed systems experience, cloud-native data tools, and any work with Azure services. Migrate Mate lets you browse verified Data Engineer openings at Microsoft filtered specifically by visa sponsorship eligibility.
What qualifications does Microsoft expect for Data Engineer roles?
Most Data Engineer postings at Microsoft require a bachelor's degree in computer science, software engineering, or a related technical discipline, plus hands-on experience with data pipeline architecture, SQL, and cloud platforms. Senior-level roles often expect familiarity with Azure Synapse, Apache Spark, or Databricks. A master's degree can strengthen both your application and your specialty occupation documentation for H-1B or E-3 purposes.
How do I plan my timeline if I need H-1B sponsorship at Microsoft?
If you need a new H-1B, the filing window opens April 1 each year, with lottery registration typically in March. Offers for lottery-dependent candidates are usually extended in fall or winter to allow time for registration. If you're on OPT with a STEM extension, you may be able to start before your H-1B takes effect. Confirm your status end date and any grace period rules with USCIS guidance before accepting a start date.
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