Data Infrastructure Engineer Jobs in USA with Visa Sponsorship
Data Infrastructure Engineers are strong H-1B sponsorship candidates. The role qualifies as a specialty occupation requiring a bachelor's degree in computer science, information systems, or a related field, and employers in cloud, fintech, and enterprise tech sponsor it regularly. For detailed occupation requirements, see the O*NET profile.
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Get Access To All JobsThis role may also be located in our Playa Vista, CA campus.
Applicants in the County of Los Angeles: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: New York, NY, USA; Ann Arbor, MI, USA; Chicago, IL, USA; Mountain View, CA, USA; Los Angeles, CA, USA; San Francisco, CA, USA.
MINIMUM QUALIFICATIONS:
- Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.
- 3 years of experience analyzing data and creating reports, and with database query (e.g., SQL) and visualization tools (e.g., Tableau, dashboards).
- Experience with one or more general purpose programming languages (e.g., Python, C/C++, Java).
PREFERRED QUALIFICATIONS:
- Master’s degree in a quantitative, or a related field.
- Knowledge of data visualization and dashboard tools (i.e., Tableau, PowerBI, or Looker).
- Familiarity with Google Ads products.
- Ability to manage multiple projects with varying priorities.
- Excellent communication and presentation skills to deliver findings of analysis.
- Excellent organizational and project management skills.
About the job
As a Technical Solutions Consultant, you will be responsible for the technical relationship of our largest advertising clients or product partners. You will lead cross-functional teams in Engineering, Sales and Product Management to leverage emerging technologies for our external clients/partners. From concept design and testing to data analysis and support, you will oversee the technical execution and business operations of Google's online advertising platforms or product partnerships.
You will be able to balance business and partner needs with technical constraints, develop innovative solutions and act as a partner and consultant to those you are working with. You will also be able to build tools and automate products, oversee the technical execution and business operations of Google's partnerships, as well as develop product strategy and prioritize projects and resources.
The Product and Sales Activation (PSA) team is responsible for performance and brand solutions for SMB advertisers around the world served by the Google Customer Solutions (GCS) business. We are the product and business experts behind the thousands of GCS Googlers that are responsible for driving sustainable business growth and product adoption. We identify opportunities through analysis, build consensus with stakeholders, and manage programs in cross-functional teams to drive GCS advertiser success and business growth.
In this role, you will build and maintain the core data infrastructure that supports our Sales and Partner teams operations and enables those teams to execute on our product objectives. You will collaborate with cross-functional teams, drive aspects of data infrastructure, and solution design and development (e.g., requirements gathering, testing, documentation, training, implementation, ongoing support, and maintenance). Google Customer Solutions (GCS) sales teams are trusted advisors and competitive sellers who maintain a relentless focus on customer success by bringing the best Google has to offer to small- and medium-sized businesses (SMBs), which are the backbone of our communities. As a member of our team, you’ll have the opportunity to work with company owners and make a real difference in their businesses by helping them grow. Together, we help shape the future of innovation for customers, partners, and sellers...and we have fun doing it.
The US base salary range for this full-time position is $124,000-$178,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Responsibilities
- Operate a stable infrastructure, working closely with Engineering teams and partners to continuously drive process improvements across various cross-functional partners.
- Develop and maintain data models, pipelines, and SQL scripts to assist in the visualization, analysis, interpretation of data.
- Perform data analysis and profiling using relevant tools, leveraging the data infrastructure, and existing data models with minimal guidance.
- Work with clients to identify their needs and clarify requirements and enable data driven decision-making by collecting, transforming, and publishing data.
- Follow and improve upon the technical best practices, including making data discoverable, thinking about the lifecycle of data, and managing master data well.
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.
This role may also be located in our Playa Vista, CA campus.
Applicants in the County of Los Angeles: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: New York, NY, USA; Ann Arbor, MI, USA; Chicago, IL, USA; Mountain View, CA, USA; Los Angeles, CA, USA; San Francisco, CA, USA.
MINIMUM QUALIFICATIONS:
- Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.
- 3 years of experience analyzing data and creating reports, and with database query (e.g., SQL) and visualization tools (e.g., Tableau, dashboards).
- Experience with one or more general purpose programming languages (e.g., Python, C/C++, Java).
PREFERRED QUALIFICATIONS:
- Master’s degree in a quantitative, or a related field.
- Knowledge of data visualization and dashboard tools (i.e., Tableau, PowerBI, or Looker).
- Familiarity with Google Ads products.
- Ability to manage multiple projects with varying priorities.
- Excellent communication and presentation skills to deliver findings of analysis.
- Excellent organizational and project management skills.
About the job
As a Technical Solutions Consultant, you will be responsible for the technical relationship of our largest advertising clients or product partners. You will lead cross-functional teams in Engineering, Sales and Product Management to leverage emerging technologies for our external clients/partners. From concept design and testing to data analysis and support, you will oversee the technical execution and business operations of Google's online advertising platforms or product partnerships.
You will be able to balance business and partner needs with technical constraints, develop innovative solutions and act as a partner and consultant to those you are working with. You will also be able to build tools and automate products, oversee the technical execution and business operations of Google's partnerships, as well as develop product strategy and prioritize projects and resources.
The Product and Sales Activation (PSA) team is responsible for performance and brand solutions for SMB advertisers around the world served by the Google Customer Solutions (GCS) business. We are the product and business experts behind the thousands of GCS Googlers that are responsible for driving sustainable business growth and product adoption. We identify opportunities through analysis, build consensus with stakeholders, and manage programs in cross-functional teams to drive GCS advertiser success and business growth.
In this role, you will build and maintain the core data infrastructure that supports our Sales and Partner teams operations and enables those teams to execute on our product objectives. You will collaborate with cross-functional teams, drive aspects of data infrastructure, and solution design and development (e.g., requirements gathering, testing, documentation, training, implementation, ongoing support, and maintenance). Google Customer Solutions (GCS) sales teams are trusted advisors and competitive sellers who maintain a relentless focus on customer success by bringing the best Google has to offer to small- and medium-sized businesses (SMBs), which are the backbone of our communities. As a member of our team, you’ll have the opportunity to work with company owners and make a real difference in their businesses by helping them grow. Together, we help shape the future of innovation for customers, partners, and sellers...and we have fun doing it.
The US base salary range for this full-time position is $124,000-$178,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Responsibilities
- Operate a stable infrastructure, working closely with Engineering teams and partners to continuously drive process improvements across various cross-functional partners.
- Develop and maintain data models, pipelines, and SQL scripts to assist in the visualization, analysis, interpretation of data.
- Perform data analysis and profiling using relevant tools, leveraging the data infrastructure, and existing data models with minimal guidance.
- Work with clients to identify their needs and clarify requirements and enable data driven decision-making by collecting, transforming, and publishing data.
- Follow and improve upon the technical best practices, including making data discoverable, thinking about the lifecycle of data, and managing master data well.
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.
How to Get Visa Sponsorship as a Data Infrastructure Engineer
Target employers with established H-1B filing histories
Large tech companies and cloud providers file H-1B petitions for data infrastructure roles consistently. Focusing on employers with multi-year sponsorship track records significantly reduces the risk of an offer falling through mid-process.
Align your degree field to the job description
USCIS requires a direct relationship between your degree and the role. A computer science or information systems degree maps cleanly. If your degree is in a related but adjacent field, gather documentation showing the coursework connection early.
Understand where you fit in the H-1B lottery
If you hold a U.S. master's degree in a qualifying field, you're entered into a separate pool with better selection odds. Cap-exempt employers, including certain nonprofits and universities, let you bypass the lottery entirely.
Time your job search around the H-1B filing window
H-1B petitions are filed in April for an October 1 start date. Starting your search in late fall or winter gives employers enough runway to sponsor you before the registration window opens in March.
Be specific about your technical scope on your resume
USCIS scrutinizes specialty occupation claims. Clearly listing infrastructure tools, cloud platforms, and data pipeline technologies you've worked with strengthens the employer's petition and reduces the likelihood of a Request for Evidence.
Browse open roles on Migrate Mate before approaching employers
Not every company that hires data infrastructure engineers will sponsor visas. Migrate Mate filters for verified sponsoring employers, so you spend time applying to roles where sponsorship is already confirmed rather than guessing.
Data Infrastructure Engineer jobs are hiring across the US. Find yours.
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Get Access To All JobsFrequently Asked Questions
Does a Data Infrastructure Engineer role qualify for H-1B sponsorship?
Yes. Data Infrastructure Engineer is a specialty occupation under USCIS standards because it typically requires a bachelor's degree or higher in computer science, information systems, or a closely related field. Employers must demonstrate the degree requirement is standard for the position, which is straightforward for most infrastructure engineering roles at technology companies.
What degree do I need to get sponsored as a Data Infrastructure Engineer?
A bachelor's degree in computer science, information systems, electrical engineering, or a related technical field is the standard baseline. Some employers accept degrees in mathematics or physics with sufficient relevant coursework. USCIS also recognizes three years of specialized work experience as a substitute for each year of missing formal education, though a direct degree match makes the petition significantly cleaner.
Do Data Infrastructure Engineer roles have good H-1B approval rates?
Software and infrastructure engineering roles consistently see approval rates above 85% in recent USCIS data, making them among the more favorable categories for sponsorship. Denials in this space typically stem from weak specialty occupation arguments in the petition, not the role itself. Working with an employer who uses experienced immigration counsel matters more than the job title alone.
Can I get sponsored for a Data Infrastructure role if I'm currently on OPT or STEM OPT?
Yes, and STEM OPT is a common bridge for this role. Data infrastructure positions generally qualify for the 24-month STEM OPT extension because they fall under CIP codes in computer science and information technology. Your employer must be E-Verify enrolled for STEM OPT, and you'll need to transition to H-1B status before your OPT authorization expires.
How do I find Data Infrastructure Engineer jobs that actually offer visa sponsorship?
Most job postings don't clearly indicate whether sponsorship is available, which wastes significant time during an already stressful search. Migrate Mate curates and verifies sponsoring employers specifically for visa-dependent candidates, so every role on the platform is one where sponsorship has been confirmed. Filtering by role type on Migrate Mate is the most direct way to find verified opportunities.
What is the prevailing wage requirement for sponsored Data Infrastructure Engineer jobs?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.
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