AI Data Engineer Jobs in USA with Visa Sponsorship
AI Data Engineers are in high demand from H-1B visa and O-1 sponsors across tech, finance, and healthcare. The role qualifies as a specialty occupation, and employers regularly file LCAs under computer science and data engineering job codes. For detailed occupation requirements, see the O*NET profile.
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Get Access To All JobsAI Data Engineer (Contract)
Please note that this is a contract role providing services to Microsoft through external staffing partners of Allegis Global Solutions. If you are selected for this role, you will be employed by AGS and will not be an employee of Microsoft.
Summary
Are you passionate about transforming raw data into powerful, actionable insights that shape the future of one of the most beloved gaming franchises in the world? This is a unique opportunity to join a world-class Player and Data Analytics team at a globally recognized game studio, where your work will directly influence performance marketing strategies and data-driven decision-making at scale. As a senior-level contributor, you will design and build robust data pipelines, craft sophisticated data models, and develop innovative data products that power marketing, AI/ML, and product systems. You will serve as a critical bridge between technical execution and business strategy, partnering with data scientists, analysts, data engineers, and game teams to deliver solutions that are secure, reliable, and built to evolve. If you thrive in a fast-paced environment, embrace a growth mindset, and are energized by solving complex problems with real business impact, this role is built for you.
Job Responsibilities:
- Build subject matter expertise across business and data domains to collaborate with data consumers and stakeholders, helping them understand and access the data they need
- Identify and analyze multi-structured data and metadata from a variety of sources to select and document the most effective and accurate data that fulfills analytics requirements
- Design data models, architect dataflows, and develop abstractions to deliver scalable analytics and machine learning solutions that can evolve with changing business needs
- Leverage modern data engineering practices and frameworks with an object-oriented approach to architect, build, and maintain automated data pipelines that transform raw data into clean, enriched, and accurate information
- Advance team infrastructure by developing frameworks, reusable components, and new capabilities that support the broader analytics mission
- Enable franchise performance marketing strategy through the development of relevant and robust data products
- Dedicate approximately 60% of time to coding activities, with a focus on data transformation and infrastructure development
- Spend approximately 30% of time interfacing with users on requirements gathering, data analysis, and solution design
- Participate in team meetings and collaborative sessions as needed
Requirements
- Minimum of 2 years of experience working as an Analytics Engineer or Data Engineer with regular business collaboration on large enterprise systems
- Demonstrated track record of building and optimizing analytic solutions and data products that deliver significant, measurable business impact
- Proven experience working cross-functionally with data scientists, analysts, data engineers, and product or game teams to align on definitions and deliver solutions at the pace of the business
- Bachelor's Degree in Computer Science, Software Engineering, Computer Engineering, or a related field with 4 or more years of experience in analytics engineering, data engineering, data science, or related software development work
- Master's Degree in Computer Science, Software Engineering, Computer Engineering, or a related field with 3 or more years of experience in analytics engineering, data engineering, data science, or related software development work
- Equivalent professional experience will be considered in lieu of a formal degree
- Advanced proficiency in Python with a minimum of 4 to 5 years of hands-on experience in data transformation and automation
- Strong SQL proficiency with the ability to write complex queries for data transformation and analysis
- Demonstrated expertise in data modeling with a minimum of 3 years of applied experience
- Experience building, maintaining, and optimizing enterprise-scale data pipelines that handle logs and event streaming data on cloud data platforms, with Azure preferred
- Familiarity with modern data engineering tools such as Spark and Airflow
- Working knowledge of DevOps and DataOps principles and practices
- Strong data analysis and exploration skills to identify, select, and prepare data for analytics use cases
- Business acumen with the ability to translate complex business challenges into effective analytics engineering solutions
- Critical thinking and creative problem-solving skills with a proven ability to deliver solutions that drive measurable business impact
- Marketing domain knowledge with at least 2 years of experience supporting marketing data or performance marketing initiatives
- Video game domain knowledge, either as an experienced player or industry professional, is strongly preferred
Additional Details:
- Location: Redmond, WA (Hybrid: 3 days a week)
- Duration: 13 months
- Pay Range*: $68.50 - $77.50 per hour
- Weekly Schedule: 40 hours
- Job Status: Non-Exempt
- Application Deadline: Apply within 72 hours of the posting date to ensure consideration.
This role is eligible for the following benefits:
- Medical, dental & vision
- Hospital plans
- 401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available
- Life Insurance (Company paid Basic Life and AD&D as well as voluntary Life & AD&D for the employee and dependents)
- Company paid short and long-term disability
- Health & Dependent Care Spending Accounts (HSA & DCFSA)
- Employee Assistance Program
- Time Off/Leave(PTO, Allegis Group Paid Family Leave, Parental Leave
Benefits are subject to change and may be subject to specific elections, plan, or program terms.
AGS is an Equal Opportunity Employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.
If you require a reasonable accommodation related to the application or interview process due to a disability, please email accommodation@allegisglobalsolutions.com. This inbox is monitored solely for accommodation requests. For questions about open roles or to apply, please submit your application through the job posting, as this inbox is not monitored by recruiters and applications sent here will not be reviewed.
In accordance with the Immigration Reform and Control Act of 1986, employment is contingent upon verification of identity and authorization to work in the United States. All persons hired will be required to complete Form I-9 and provide acceptable documentation as required by law.
Please note that we may use artificial intelligence (AI) tools to screen, assess, or select applicants for this position. These tools may analyze application materials and assist our team in identifying candidates whose qualifications best match the requirements of the role. If you have questions about our use of AI in the hiring process, or would like more information, please contact us.
We reserve the right to pay above or below the posted wage based on factors unrelated to protected classifications.
Individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job-related factors.
AI Data Engineer (Contract)
Please note that this is a contract role providing services to Microsoft through external staffing partners of Allegis Global Solutions. If you are selected for this role, you will be employed by AGS and will not be an employee of Microsoft.
Summary
Are you passionate about transforming raw data into powerful, actionable insights that shape the future of one of the most beloved gaming franchises in the world? This is a unique opportunity to join a world-class Player and Data Analytics team at a globally recognized game studio, where your work will directly influence performance marketing strategies and data-driven decision-making at scale. As a senior-level contributor, you will design and build robust data pipelines, craft sophisticated data models, and develop innovative data products that power marketing, AI/ML, and product systems. You will serve as a critical bridge between technical execution and business strategy, partnering with data scientists, analysts, data engineers, and game teams to deliver solutions that are secure, reliable, and built to evolve. If you thrive in a fast-paced environment, embrace a growth mindset, and are energized by solving complex problems with real business impact, this role is built for you.
Job Responsibilities:
- Build subject matter expertise across business and data domains to collaborate with data consumers and stakeholders, helping them understand and access the data they need
- Identify and analyze multi-structured data and metadata from a variety of sources to select and document the most effective and accurate data that fulfills analytics requirements
- Design data models, architect dataflows, and develop abstractions to deliver scalable analytics and machine learning solutions that can evolve with changing business needs
- Leverage modern data engineering practices and frameworks with an object-oriented approach to architect, build, and maintain automated data pipelines that transform raw data into clean, enriched, and accurate information
- Advance team infrastructure by developing frameworks, reusable components, and new capabilities that support the broader analytics mission
- Enable franchise performance marketing strategy through the development of relevant and robust data products
- Dedicate approximately 60% of time to coding activities, with a focus on data transformation and infrastructure development
- Spend approximately 30% of time interfacing with users on requirements gathering, data analysis, and solution design
- Participate in team meetings and collaborative sessions as needed
Requirements
- Minimum of 2 years of experience working as an Analytics Engineer or Data Engineer with regular business collaboration on large enterprise systems
- Demonstrated track record of building and optimizing analytic solutions and data products that deliver significant, measurable business impact
- Proven experience working cross-functionally with data scientists, analysts, data engineers, and product or game teams to align on definitions and deliver solutions at the pace of the business
- Bachelor's Degree in Computer Science, Software Engineering, Computer Engineering, or a related field with 4 or more years of experience in analytics engineering, data engineering, data science, or related software development work
- Master's Degree in Computer Science, Software Engineering, Computer Engineering, or a related field with 3 or more years of experience in analytics engineering, data engineering, data science, or related software development work
- Equivalent professional experience will be considered in lieu of a formal degree
- Advanced proficiency in Python with a minimum of 4 to 5 years of hands-on experience in data transformation and automation
- Strong SQL proficiency with the ability to write complex queries for data transformation and analysis
- Demonstrated expertise in data modeling with a minimum of 3 years of applied experience
- Experience building, maintaining, and optimizing enterprise-scale data pipelines that handle logs and event streaming data on cloud data platforms, with Azure preferred
- Familiarity with modern data engineering tools such as Spark and Airflow
- Working knowledge of DevOps and DataOps principles and practices
- Strong data analysis and exploration skills to identify, select, and prepare data for analytics use cases
- Business acumen with the ability to translate complex business challenges into effective analytics engineering solutions
- Critical thinking and creative problem-solving skills with a proven ability to deliver solutions that drive measurable business impact
- Marketing domain knowledge with at least 2 years of experience supporting marketing data or performance marketing initiatives
- Video game domain knowledge, either as an experienced player or industry professional, is strongly preferred
Additional Details:
- Location: Redmond, WA (Hybrid: 3 days a week)
- Duration: 13 months
- Pay Range*: $68.50 - $77.50 per hour
- Weekly Schedule: 40 hours
- Job Status: Non-Exempt
- Application Deadline: Apply within 72 hours of the posting date to ensure consideration.
This role is eligible for the following benefits:
- Medical, dental & vision
- Hospital plans
- 401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available
- Life Insurance (Company paid Basic Life and AD&D as well as voluntary Life & AD&D for the employee and dependents)
- Company paid short and long-term disability
- Health & Dependent Care Spending Accounts (HSA & DCFSA)
- Employee Assistance Program
- Time Off/Leave(PTO, Allegis Group Paid Family Leave, Parental Leave
Benefits are subject to change and may be subject to specific elections, plan, or program terms.
AGS is an Equal Opportunity Employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.
If you require a reasonable accommodation related to the application or interview process due to a disability, please email accommodation@allegisglobalsolutions.com. This inbox is monitored solely for accommodation requests. For questions about open roles or to apply, please submit your application through the job posting, as this inbox is not monitored by recruiters and applications sent here will not be reviewed.
In accordance with the Immigration Reform and Control Act of 1986, employment is contingent upon verification of identity and authorization to work in the United States. All persons hired will be required to complete Form I-9 and provide acceptable documentation as required by law.
Please note that we may use artificial intelligence (AI) tools to screen, assess, or select applicants for this position. These tools may analyze application materials and assist our team in identifying candidates whose qualifications best match the requirements of the role. If you have questions about our use of AI in the hiring process, or would like more information, please contact us.
We reserve the right to pay above or below the posted wage based on factors unrelated to protected classifications.
Individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job-related factors.
See all 6,180+ AI Data Engineer jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new AI Data Engineer roles.
Get Access To All JobsTips for Finding Visa Sponsorship as an AI Data Engineer
Target companies with active LCA filings
Employers who have filed Labor Condition Applications for data engineering or machine learning roles in the past 12 months are already set up to sponsor. These companies have legal counsel, established workflows, and budgets allocated for visa costs.
Emphasize your ML pipeline and infrastructure work
USCIS approves AI Data Engineer petitions more cleanly when job duties are tied to a specific technical field. Highlight work on model training pipelines, feature stores, or distributed data systems, not general data tasks.
A computer science or data engineering degree strengthens your case
H-1B specialty occupation requires a degree in a directly related field. CS, software engineering, statistics, and applied mathematics are strong fits. A general business or unrelated degree may require additional documentation or a credentials evaluation.
Cap-exempt employers offer a faster path in
Universities, nonprofit research institutions, and government-affiliated organizations are exempt from the H-1B lottery. AI and data roles at these employers can be filed any time of year, with USCIS adjudicating without a cap slot.
O-1A is a realistic alternative if your profile is strong
AI Data Engineers with published research, open-source contributions with wide adoption, or recognition from the field may qualify for the O-1A extraordinary ability visa. It has no lottery and no annual cap, making it faster to obtain.
Use Migrate Mate to find roles already set up to sponsor
Not every job posting discloses visa sponsorship upfront. Migrate Mate filters for employers actively sponsoring AI and data engineering roles, so you apply to companies already prepared to file, not ones figuring it out for the first time.
AI Data Engineer jobs are hiring across the US. Find yours.
Find AI Data Engineer JobsFrequently Asked Questions
Does the AI Data Engineer role qualify for H-1B sponsorship?
Yes. AI Data Engineer is a specialty occupation under USCIS guidelines because it requires a bachelor's degree or higher in a specific technical field such as computer science, data engineering, or statistics. Employers regularly file H-1B petitions for this title, and USCIS approves them at high rates when the job duties and degree field align clearly.
What degree do I need for an employer to sponsor my H-1B as an AI Data Engineer?
A bachelor's degree in computer science, data science, statistics, applied mathematics, or a closely related field is the standard. A general business or humanities degree typically won't support the petition without supplemental evidence. If your degree is in a tangentially related field, employers may need to file additional documentation demonstrating the connection between your coursework and the role.
Can I get sponsored as an AI Data Engineer if I didn't win the H-1B lottery?
There are a few paths. Cap-exempt employers, including universities and qualifying nonprofits, can file H-1B petitions year-round without lottery exposure. Alternatively, the O-1A visa has no cap and no lottery, and is achievable for AI Data Engineers with strong publication records, recognized open-source projects, or other evidence of extraordinary ability in the field.
How common is visa sponsorship for AI Data Engineer roles specifically?
AI and machine learning data roles are among the most actively sponsored positions in the U.S. tech sector. DOL LCA disclosure data consistently shows high filing volumes for data engineering and ML infrastructure titles at large technology companies and well-funded startups. Browse Migrate Mate to see which employers are currently hiring AI Data Engineers with sponsorship.
Does hands-on AI experience matter more than a formal degree for sponsorship purposes?
For H-1B purposes, the formal degree requirement is a legal threshold, not just a preference. However, USCIS also allows three years of specialized experience to substitute for one year of a four-year degree, so candidates with significant hands-on AI pipeline work and some formal education can still qualify. Document your experience clearly in any petition supporting the specialty occupation argument.
What is the prevailing wage requirement for sponsored AI Data 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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