AI Data Engineer Green Card Jobs
AI Data Engineer roles qualify for green card sponsorship under EB-2 for advanced-degree professionals and EB-3 for skilled workers with a bachelor's degree. Employers file a PERM labor certification with the DOL before petitioning USCIS, making sponsorship a multi-stage process that rewards candidates who understand the pipeline.
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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 4,691+ 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 Green Card Sponsorship as an AI Data Engineer
Document your specialized AI skill stack
PERM requires your employer to define minimum job requirements precisely. Compile proof of your proficiency in tools like TensorFlow, Apache Spark, or MLflow now, so your credentials align cleanly with the job description your employer files with the DOL.
Target employers with PERM filing history
Search Migrate Mate to filter AI Data Engineer roles at companies that have previously sponsored PERM-based green cards, so you're targeting employers already familiar with the DOL recruitment and certification process.
Verify your role meets specialty occupation depth
PERM job requirements must reflect the actual complexity of the role. Review the O*NET profile for AI Data Engineer to confirm your duties align with the occupation's defined knowledge areas, which strengthens the DOL certification case.
Ask about PERM recruitment timing before accepting an offer
Employers must complete a mandatory DOL-supervised recruitment period before filing PERM. Ask your hiring manager when that process would start, since delays here push back your I-140 filing and your priority date by months.
Check prevailing wage before negotiating your offer
Your employer's PERM-certified wage must meet the DOL prevailing wage for your job zone and location. Use the OFLC Wage Search to look up the Level I through Level IV thresholds for AI Data Engineer roles in your metro area before finalizing compensation.
AI Data Engineer jobs are hiring across the US. Find yours.
Find AI Data Engineer JobsAI Data Engineer Green Card Sponsorship: Frequently Asked Questions
Does an AI Data Engineer role qualify for EB-2 or EB-3 green card sponsorship?
AI Data Engineer positions typically qualify for both categories. EB-3 covers roles requiring a bachelor's degree in computer science, data engineering, or a related field. EB-2 applies when the position requires an advanced degree or when you can demonstrate a bachelor's degree plus at least five years of progressive, specialized experience in AI data pipelines or machine learning infrastructure.
How does green card sponsorship differ from H-1B sponsorship for AI Data Engineers?
H-1B is a temporary status with a three-year initial period, subject to the annual lottery. Green card sponsorship through PERM and I-140 leads to permanent residency with no recurring renewal. There's no annual cap at the EB-3 level for most countries, though EB-2 and EB-3 backlogs vary significantly by nationality. The PERM process also locks in a priority date, which determines your place in the visa queue.
What does the PERM labor certification process look like for an AI Data Engineer?
Your employer files a labor certification application with the DOL after completing a supervised recruitment process to confirm no qualified U.S. workers are available. For AI Data Engineer roles, the job requirements in the PERM application must match your actual duties and your credentials precisely. USCIS then reviews the I-140 immigrant petition once DOL certifies the application, and your priority date determines when you can file for adjustment of status.
How do I find AI Data Engineer employers who sponsor green cards?
Use Migrate Mate to search for AI Data Engineer roles filtered by employers with green card sponsorship history. Many companies sponsor H-1B workers but haven't filed PERM applications, so filtering specifically for employment-based green card experience narrows your list to employers already familiar with the DOL certification and I-140 filing requirements.
Can my employer start the PERM process while I'm on H-1B or OPT?
Yes. Employers can file PERM regardless of your current immigration status. Starting while you're on H-1B or OPT is common and strategically useful because it establishes your priority date earlier. USCIS allows H-1B holders with an approved I-140 to extend their H-1B beyond the standard six-year limit under AC21 portability rules, which protects your work authorization while the green card process runs.
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