Analytics Engineer Jobs at Microsoft with Visa Sponsorship
Microsoft hires Analytics Engineers across its cloud, data platform, and enterprise product teams, building pipelines and data models that power decisions at scale. The company has an established immigration infrastructure and routinely sponsors work visas for this function, making it a strong target for internationally qualified candidates.
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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.
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Get Access To All JobsTips for Finding Analytics Engineer Jobs at Microsoft Jobs
Align your portfolio with Azure data tooling
Microsoft's Analytics Engineer roles are heavily oriented around Azure Synapse, Databricks, and the Microsoft Fabric ecosystem. Documenting hands-on experience with these tools in your portfolio signals direct role fit before interviews begin.
Target teams through internal job families
Microsoft organizes hiring around product and platform teams, not just job titles. Filtering for Analytics Engineer roles under Cloud and AI or Data and AI divisions increases your chances of landing in a team with active headcount and sponsorship approval.
Verify your E-3 or H-1B1 eligibility early
If you're an Australian or Singapore citizen, Microsoft routinely files E-3 and H-1B1 petitions, which avoid the H-1B lottery entirely. Confirming your nationality-based eligibility before applying lets you frame your sponsorship conversation more precisely with recruiters.
Request clarity on LCA timing during offer negotiations
Microsoft must file a certified Labor Condition Application with DOL before your H-1B petition can be submitted to USCIS. Asking your recruiter where the team sits in that process helps you set a realistic start date and avoid gaps in work authorization.
Use Migrate Mate to surface open Analytics Engineer roles at Microsoft
Not all Microsoft Analytics Engineer postings surface on general job boards with sponsorship context visible. Migrate Mate filters specifically for visa-sponsoring employers, so you can find and track Microsoft openings confirmed for international candidates without sifting through listings manually.
Build a credential file before Microsoft's interview loop
Microsoft's technical interviews for Analytics Engineer roles move quickly once you clear the recruiter screen. Having your degree certificates, transcripts, and any credential evaluation ready in advance means your employer can initiate the USCIS petition without delays on your end.
Analytics Engineer at Microsoft jobs are hiring across the US. Find yours.
Find Analytics Engineer at Microsoft JobsFrequently Asked Questions
Does Microsoft sponsor H-1B visas for Analytics Engineers?
Yes, Microsoft sponsors H-1B visas for Analytics Engineer roles. The company has an established immigration legal team that handles petitions across its engineering and data functions. Because H-1B cap-subject petitions require USCIS lottery selection each April, timing your offer and application process around that window matters if you're not already in H-1B status.
How do I apply for Analytics Engineer jobs at Microsoft?
Applications go through Microsoft's careers portal, where Analytics Engineer roles are listed under job families like Data and AI or Cloud and AI. You can also browse verified sponsorship-confirmed openings through Migrate Mate, which filters Microsoft roles specifically for international candidates. Tailoring your resume to reflect Azure and dbt experience improves pass-through rates at the initial screen.
Which visa types does Microsoft commonly use for Analytics Engineers?
Microsoft files H-1B petitions most broadly for Analytics Engineers, but also uses E-3 visas for Australian citizens and H-1B1 visas for citizens of Singapore and Chile, both of which skip the annual lottery. For candidates on a longer path to permanent residence, Microsoft also supports EB-2 and EB-3 Green Card sponsorship, typically after a period in a nonimmigrant status.
What qualifications does Microsoft expect for Analytics Engineer roles?
Microsoft generally expects a bachelor's degree or higher in computer science, data engineering, statistics, or a closely related field, which also meets the specialty occupation requirement for H-1B eligibility. Beyond credentials, hands-on experience with SQL, Python, dbt, and cloud data warehousing platforms like Azure Synapse or Databricks is consistently emphasized across Microsoft Analytics Engineer job postings.
How do I understand the visa filing timeline after receiving an offer from Microsoft?
After an offer is accepted, Microsoft's immigration team initiates the process by filing a Labor Condition Application with DOL, which must be certified before USCIS receives the H-1B petition. Cap-subject petitions are filed in April for an October 1 start date, so offers made mid-year often bridge through OPT, cap-gap, or a change of status. Clarifying your current visa status with your recruiter at the offer stage helps Microsoft's legal team map the fastest available path.
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