H-1B Visa Senior Staff Data Engineer Jobs
Senior Staff Data Engineer roles sit squarely within H-1B visa specialty occupation territory, requiring at least a bachelor's degree in computer science, data engineering, or a related field. Employers filing H-1B petitions for this title must certify a prevailing wage through DOL, making verified LCA filing history a reliable signal of active sponsorship.
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Get Access To All JobsINTRODUCTION
As a part of Machine Learning, Systems and Cloud AI (MSCA), we believe that high quality data is key to building better Machine Learning (ML) models, especially in the era of Large Language Models (LLMs). We work directly with model teams to define, measure, and improve data quality, promote best practices, and increase data availability and awareness. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $262000 - $364000 (USD) + 25% bonus target + equity + benefits
BASIC QUALIFICATIONS
- Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
- 10 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 8 years of work experience with a PhD degree.
PREFERRED QUALIFICATIONS
- 12 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 10 years of work experience with a PhD degree.
- 6 years of experience as a people manager within a technical leadership role.
Responsibilities
- Work with large, data sets. Conduct analysis that includes data gathering and requirements specification, processing, cleaning and curation, analysis, visualization, ongoing deliverables, and presentations.
- Represent analysis to stakeholders and organization executives in order to share insights, influence product direction and answer difficult questions regarding data quality measurement and impact on model performance.
- Define key metrics that are statistically sound and meaningful to measure data quality for data in various shapes and forms, as well as to measure progress of customer engagement.
- Research and develop analysis and optimization methods to improve the quality of Google's ML portfolio and applications, including LLM model and training data planning.
- Conduct independent research and advance the state of understanding in how data impacts ultimate quality of large language models and creating spend optimization priorities with data acquisition.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
INTRODUCTION
As a part of Machine Learning, Systems and Cloud AI (MSCA), we believe that high quality data is key to building better Machine Learning (ML) models, especially in the era of Large Language Models (LLMs). We work directly with model teams to define, measure, and improve data quality, promote best practices, and increase data availability and awareness. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $262000 - $364000 (USD) + 25% bonus target + equity + benefits
BASIC QUALIFICATIONS
- Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
- 10 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 8 years of work experience with a PhD degree.
PREFERRED QUALIFICATIONS
- 12 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 10 years of work experience with a PhD degree.
- 6 years of experience as a people manager within a technical leadership role.
Responsibilities
- Work with large, data sets. Conduct analysis that includes data gathering and requirements specification, processing, cleaning and curation, analysis, visualization, ongoing deliverables, and presentations.
- Represent analysis to stakeholders and organization executives in order to share insights, influence product direction and answer difficult questions regarding data quality measurement and impact on model performance.
- Define key metrics that are statistically sound and meaningful to measure data quality for data in various shapes and forms, as well as to measure progress of customer engagement.
- Research and develop analysis and optimization methods to improve the quality of Google's ML portfolio and applications, including LLM model and training data planning.
- Conduct independent research and advance the state of understanding in how data impacts ultimate quality of large language models and creating spend optimization priorities with data acquisition.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
See all 1,130+ H-1B Visa Senior Staff Data Engineer Jobs
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Get Access To All JobsTips for Finding H-1B Visa Sponsorship as a Senior Staff Data Engineer
Benchmark your wage against DOL data
Pull the Level III or IV prevailing wage for your SOC code and metro area using the OFLC Wage Search before negotiating. Your offer must meet or exceed this threshold for the LCA to certify, and underpaying at this seniority level is a common RFE trigger.
Verify your degree field matches the petition
USCIS scrutinizes specialty occupation claims heavily for staff-level engineering roles. A degree in computer science or data science supports the petition cleanly. A degree in business or a less technical field may require a credential evaluation or supporting documentation showing direct relevance.
Search employers by confirmed LCA filing history
Use Migrate Mate to filter companies by verified DOL LCA filings for data engineering roles. This surfaces employers who have actually sponsored this title before, not just those who mention visa sponsorship in job postings without a track record.
Target cap-exempt employers when lottery timing is tight
Universities, nonprofit research organizations, and certain government-affiliated entities are exempt from the H-1B cap and can file year-round. Staff-level data engineers are in demand at research hospitals and academic medical centers that qualify under this exemption.
Request premium processing if your start date is fixed
Standard H-1B adjudication can run several months. If you're transitioning from OPT with a specific end date or starting a role with a firm go-live deadline, ask your employer to elect premium processing so USCIS issues a decision within the published business-day window.
Clarify architecture ownership scope in your job description
Staff and principal-level engineers sometimes receive RFEs when job duties read as managerial rather than technical. Ensure your offer letter and support letter describe hands-on system design, data modeling, and pipeline architecture work to reinforce the specialty occupation determination.
H-1B Visa Senior Staff Data Engineer: Frequently Asked Questions
Does a Senior Staff Data Engineer role qualify as a specialty occupation for H-1B purposes?
Yes. Senior Staff Data Engineer roles require theoretical and practical application of highly specialized knowledge, and USCIS consistently treats data engineering at this level as a specialty occupation. The key is that the position must normally require at least a bachelor's degree in a directly related field such as computer science, data engineering, or information systems. Titles at the staff or principal level generally satisfy this requirement, though your employer's job description needs to reflect technical depth rather than purely supervisory duties.
How do I find companies that have actually sponsored H-1B visas for data engineering roles?
Migrate Mate surfaces employers with verified DOL LCA filing history filtered by occupation, so you can see which companies have filed for data engineering roles rather than relying on unverified sponsorship claims in job postings. This matters at the senior staff level because sponsorship complexity increases with seniority, and employers with a filing track record are better positioned to navigate the process than those encountering it for the first time.
What wage level should I expect an employer to certify on my LCA?
For a Senior Staff Data Engineer, employers typically certify at DOL wage Level III or Level IV, which correspond to experienced and fully competent workers in the occupation. The exact amount depends on your SOC code and the metropolitan area where you'll work. You can check the applicable prevailing wage yourself using the OFLC Wage Search before accepting an offer, since the certified wage sets a floor your employer cannot pay below during your H-1B period.
Can I transfer my H-1B to a new employer if I switch data engineering jobs at this level?
Yes. Under H-1B portability rules, you can start working for a new employer as soon as they file a transfer petition with USCIS, without waiting for approval, as long as your previous H-1B was approved and you've maintained lawful status. At the senior staff level, ensure the new role similarly qualifies as a specialty occupation so the transfer petition doesn't face scrutiny on the specialty occupation question during adjudication.
What documentation should I prepare before an employer starts my H-1B petition?
You'll need academic transcripts and your degree certificate, a current resume detailing technical responsibilities rather than just titles, and any credential evaluation if your degree is from outside the U.S. For senior staff roles, employers often include an expert opinion letter or a detailed support letter that maps your degree and experience to the specific technical duties in the position, which helps preempt an RFE on specialty occupation grounds. O*NET occupation data for your SOC code is also commonly referenced in petitions at this level.