Data Analytics Engineer Jobs at Microsoft with Visa Sponsorship
Data Analytics Engineer jobs 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 visa, E-3 visa, and immigrant visa pathways.
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We are seeking Data Research Engineers to join our Multimodal team, where we are building the next generation of foundation models across vision, language, audio, and beyond. If you are passionate about designing and curating high-quality datasets to power frontier AI models, this role is for you.
Role
In this role, you’ll work at the intersection of data and innovation—collaborating with scientists, engineers, and annotators to curate, analyze, and evaluate diverse multimodal data sources critical to model development. You will lead efforts to:
- Develop novel data collection strategies
- Improve dataset quality and integrity
- Understand data-driven model behaviors
- Align datasets with ethical and societal values
This is a cross-disciplinary, high-impact role ideal for engineers who want to push the boundaries of what AI can learn from data, especially in multimodal contexts.
Microsoft Superintelligence Team
Microsoft Superintelligence team’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. This role is part of Microsoft AI's Superintelligence Team. The MAIST is a startup-like team inside Microsoft AI, created to push the boundaries of AI toward Humanist Superintelligence—ultra-capable systems that remain controllable, safety-aligned, and anchored to human values. Our mission is to create AI that amplifies human potential while ensuring humanity remains firmly in control. We aim to deliver breakthroughs that benefit society—advancing science, education, and global well-being. We’re also fortunate to partner with incredible product teams giving our models the chance to reach billions of users and create immense positive impact. If you’re a brilliant, highly-ambitious and low ego individual, you’ll fit right in—come and join us as we work on our next generation of models! Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction.
Responsibilities
- Create high-quality datasets for training and evaluation; run experiments on new datasets (data ablations) to assess their impact and determine the most effective data.
- Develop and maintain scalable data pipelines for multimodal ingestion, preprocessing, filtering, and annotation.
- Analyze real-world multimodal datasets to assess quality, diversity, relevance, and identify areas for improvement.
- Build lightweight tools and workflows for dataset auditing, visualization, and versioning.
- Collaborate with Safety, Ethics, and Governance teams to ensure datasets meet standards for quality, privacy, and responsible AI practices.
- Embody our culture and values.
Qualifications
Required Qualifications:
- Bachelor's Degree in AI, Computer Science, Data Science, Statistics, Physics, Engineering, or related technical discipline AND 4+ years technical engineering experience with coding in languages including, but not limited to, Python and common data libraries (Pandas, NumPy, etc.) + OR equivalent experience.
Preferred Qualifications
- Master's Degree in AI, Computer Science, Data Science, Statistics, Physics, Engineering, or related technical discipline AND 8+ years technical engineering experience with coding in languages including, but not limited to, Python and common data libraries (Pandas, NumPy, etc.)
- OR Bachelor's Degree in AI, Computer Science, Data Science, Statistics, Physics, Engineering, or related technical discipline AND 12+ years technical engineering experience with coding in languages including, but not limited to, Python and common data libraries (Pandas, NumPy, etc.)
- OR equivalent experience.
- 2+ years of experience in data analysis or data engineering, including work with large-scale datasets that are unstructured or semi-structured.
- Proficiency in statistics and exploratory data analysis methods.
- Familiarity with data processing frameworks such as Spark, Ray, or Apache Beam.
- Ability to communicate technical findings clearly to research and product teams.
Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 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 $158,400 - $258,000 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
Software Engineering IC5 - 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, read more about requesting accommodations.
Overview
We are seeking Data Research Engineers to join our Multimodal team, where we are building the next generation of foundation models across vision, language, audio, and beyond. If you are passionate about designing and curating high-quality datasets to power frontier AI models, this role is for you.
Role
In this role, you’ll work at the intersection of data and innovation—collaborating with scientists, engineers, and annotators to curate, analyze, and evaluate diverse multimodal data sources critical to model development. You will lead efforts to:
- Develop novel data collection strategies
- Improve dataset quality and integrity
- Understand data-driven model behaviors
- Align datasets with ethical and societal values
This is a cross-disciplinary, high-impact role ideal for engineers who want to push the boundaries of what AI can learn from data, especially in multimodal contexts.
Microsoft Superintelligence Team
Microsoft Superintelligence team’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. This role is part of Microsoft AI's Superintelligence Team. The MAIST is a startup-like team inside Microsoft AI, created to push the boundaries of AI toward Humanist Superintelligence—ultra-capable systems that remain controllable, safety-aligned, and anchored to human values. Our mission is to create AI that amplifies human potential while ensuring humanity remains firmly in control. We aim to deliver breakthroughs that benefit society—advancing science, education, and global well-being. We’re also fortunate to partner with incredible product teams giving our models the chance to reach billions of users and create immense positive impact. If you’re a brilliant, highly-ambitious and low ego individual, you’ll fit right in—come and join us as we work on our next generation of models! Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction.
Responsibilities
- Create high-quality datasets for training and evaluation; run experiments on new datasets (data ablations) to assess their impact and determine the most effective data.
- Develop and maintain scalable data pipelines for multimodal ingestion, preprocessing, filtering, and annotation.
- Analyze real-world multimodal datasets to assess quality, diversity, relevance, and identify areas for improvement.
- Build lightweight tools and workflows for dataset auditing, visualization, and versioning.
- Collaborate with Safety, Ethics, and Governance teams to ensure datasets meet standards for quality, privacy, and responsible AI practices.
- Embody our culture and values.
Qualifications
Required Qualifications:
- Bachelor's Degree in AI, Computer Science, Data Science, Statistics, Physics, Engineering, or related technical discipline AND 4+ years technical engineering experience with coding in languages including, but not limited to, Python and common data libraries (Pandas, NumPy, etc.) + OR equivalent experience.
Preferred Qualifications
- Master's Degree in AI, Computer Science, Data Science, Statistics, Physics, Engineering, or related technical discipline AND 8+ years technical engineering experience with coding in languages including, but not limited to, Python and common data libraries (Pandas, NumPy, etc.)
- OR Bachelor's Degree in AI, Computer Science, Data Science, Statistics, Physics, Engineering, or related technical discipline AND 12+ years technical engineering experience with coding in languages including, but not limited to, Python and common data libraries (Pandas, NumPy, etc.)
- OR equivalent experience.
- 2+ years of experience in data analysis or data engineering, including work with large-scale datasets that are unstructured or semi-structured.
- Proficiency in statistics and exploratory data analysis methods.
- Familiarity with data processing frameworks such as Spark, Ray, or Apache Beam.
- Ability to communicate technical findings clearly to research and product teams.
Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 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 $158,400 - $258,000 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
Software Engineering IC5 - 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, read more about requesting accommodations.
See all Data Analytics Engineer Jobs at Microsoft
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Data Analytics Engineer Jobs at Microsoft.
Get Access To All JobsTips for Finding Data Analytics Engineer Jobs at Microsoft
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.
Frequently 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.