Data Analytics Engineer Jobs at Microsoft with Visa Sponsorship
Data Analytics Engineer roles at Microsoft sit at the intersection of large-scale data infrastructure and business intelligence, requiring expertise in tools like Azure Synapse, SQL, and Python. Microsoft has a well-established sponsorship process for this function across H-1B, E-3, and immigrant visa pathways.
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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.

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.
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Get Access To All JobsTips for Finding Data Analytics Engineer Jobs at Microsoft Jobs
Align your portfolio to Azure ecosystem skills
Microsoft's data engineering roles consistently surface Azure-native tools in job requirements. Before applying, build or document hands-on experience with Azure Data Factory, Synapse Analytics, or Databricks to signal direct role fit to their technical recruiters.
Target teams hiring outside H-1B lottery windows
Microsoft hires Data Analytics Engineers year-round and regularly uses cap-exempt filings for candidates already holding H-1B status with another employer. If you're mid-status, you can transfer without waiting for the April lottery.
Request LCA details before accepting your offer
Before signing, confirm the Labor Condition Application wage level matches your offered salary. DOL requires Microsoft to pay at least the prevailing wage for your specific role and work location, and wage level I versus level II affects total compensation meaningfully.
Prepare your degree equivalency documentation early
Microsoft's E-3 and H-1B petitions for Data Analytics Engineers commonly require a degree in computer science, information systems, or a directly related field. If your degree title is non-standard, get a credential evaluation from a NACES-approved evaluator before your offer letter arrives.
Use Migrate Mate to filter open roles by sponsorship type
Microsoft posts Data Analytics Engineer roles across multiple business units with varying sponsorship eligibility. Use Migrate Mate to filter current openings by the visa type that matches your situation, so you're applying to roles Microsoft is actively sponsoring for your category.
Account for premium processing in your start date negotiation
USCIS premium processing for H-1B petitions guarantees a response within 15 business days. If your start date is tight, ask Microsoft's immigration team early whether they'll elect premium processing, since standard adjudication timelines can run three to five months.
Data Analytics Engineer at Microsoft jobs are hiring across the US. Find yours.
Find Data Analytics Engineer at Microsoft JobsFrequently Asked Questions
Does Microsoft sponsor H-1B visas for Data Analytics Engineers?
Yes, Microsoft sponsors H-1B visas for Data Analytics Engineer roles. Microsoft participates in the annual H-1B lottery for new applicants and also files cap-exempt petitions for candidates already counted against the cap. If you're transferring from another H-1B employer, you can typically start work at Microsoft once USCIS receives the petition, not after approval.
How do I apply for Data Analytics Engineer jobs at Microsoft?
Applications go through Microsoft's careers portal at careers.microsoft.com. Search for Data Analytics Engineer or related titles like Data Engineer or Analytics Engineer. Roles are posted across teams including Microsoft Azure, Microsoft 365, and Bing. You can also browse visa-sponsorship-filtered Microsoft listings on Migrate Mate to identify which open roles align with your specific immigration category before applying directly.
Which visa types does Microsoft commonly use for Data Analytics Engineers?
Microsoft sponsors H-1B and H-1B1 visas for Data Analytics Engineers as nonimmigrant pathways. Australian citizens can pursue the E-3 visa, which has no lottery and offers two-year renewable status. For permanent residence, Microsoft supports EB-2 and EB-3 Green Card sponsorship, typically initiated through the PERM labor certification process after a period of employment.
What qualifications does Microsoft expect for Data Analytics Engineer roles?
Most Data Analytics Engineer postings at Microsoft require a bachelor's degree in computer science, data science, or a related quantitative field, plus hands-on experience with SQL, Python, and cloud data platforms, particularly Azure. Senior roles typically expect experience designing data pipelines or warehouses at scale. A master's degree can strengthen both your application and the H-1B specialty occupation determination for the role.
How do I know if my visa category is compatible with a specific Microsoft role?
Visa eligibility depends on your nationality, current status, and the specific business unit posting the role. Not every Microsoft team sponsors every visa type for every opening. Review the job posting's visa sponsorship language carefully, then cross-reference with USCIS eligibility criteria for your category. If you're uncertain, consult Microsoft's immigration team after receiving an offer, not before your interview.
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