AI Data Analyst Visa Sponsorship Jobs in Washington
AI data analyst visa sponsorship jobs in Washington are concentrated in the Seattle metro, home to Microsoft, Amazon, and a dense network of AI-driven tech firms. Bellevue and Redmond also draw significant demand. Roles typically require machine learning fluency alongside SQL and Python, making a directly related STEM degree central to sponsorship eligibility.
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Get Access To All JobsINTRODUCTION
Building a career at Granite may be the most valuable thing you could do. Find your dream job today, and be part of something great. Our most powerful partnership is the one we have with our employees. Our people are our most valued asset and the foundation of Granite’s century-old success. We’re building more than infrastructure; we are building your future.
General Summary
The AI Applications & Data Analytics Lead is responsible for building and scaling practical AI and data solutions that drive measurable improvements in safety, production, cost, and performance across construction materials operations. This role serves as the bridge between field operations and technology—turning operational data into actionable intelligence and deploying AI-enabled applications that improve decision-making, automate workflows, and enhance productivity. The position combines hands-on development capability with business leadership—owning the identification, prioritization, and execution of AI and analytics use cases across plants, sales, and support functions.
Essential Job Accountabilities
- Design, develop, and maintain AI-enabled applications supporting aggregate and asphalt plant operations and sales.
- Develop and implement machine learning and advanced analytics models to optimize production, pricing, plant uptime, and cost performance.
- Optimize product pricing with sales data including pricing and GIS data.
- Integrate AI solutions with existing operational software, plant systems, sensors, and databases.
- Enhance sales efficiency through the use of AI and bots to review specifications.
- Enhance and modernize legacy software systems through automation, predictive analytics, and decision-support tools.
- Build and maintain data pipelines, APIs, and services enabling real-time and near-real-time operational insights.
- Analyze large datasets from production systems, quality labs, and equipment to generate actionable intelligence.
- Collaborate with operations, sales, quality, maintenance, and IT teams to translate business needs into technical solutions.
- Ensure AI solutions align with cybersecurity standards, company policies, and responsible AI practices.
- Document systems, models, and processes to support long-term sustainability and user adoption.
- Continuously evaluate emerging AI and software technologies relevant to construction materials.
Education
Bachelor’s Degree in artificial intelligence, computer science, data science, mathematics, or related quantitative fields. Equivalent practical experience may be considered for candidates with a strong portfolio.
Work Experience
- Minimum of two (2) years of professional experience in software development, data analytics, AI or machine learning implementation.
- Experience delivering production-ready apps, and software solutions in operational or industrial environments.
- Strong data analytics skills.
- Experience working with databases, analytics platforms, and modern application architecture.
Knowledge, skills, and abilities
- Experience in aggregate, asphalt, construction materials, mining, sales or manufacturing operations.
- Familiarity with plant control systems, sales and production data.
- Experience with predictive maintenance, quality analytics, or process optimization.
- Strong communication skills and ability to work with non-technical stakeholders.
- Applied artificial intelligence and machine learning.
- Industrial software development and systems integration.
- Data-driven problem solving.
- Operational and sales mindset focused on safety, quality, and efficiency.
- Collaborative and partnership mindset.
Physical Demands
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. While performing the duties of this job, the employee is regularly required to talk and hear. The employee frequently is required to stand, walk, sit and use hands to operate a computer keyboard. The employee is required to walk uneven and steep ground to access property for the purpose of interacting with operations and sales employees. Specific vision abilities required by this job include close vision, and ability to adjust focus. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Additional Requirements/Skills
- Abide by Granite’s Code of Conduct on a daily basis.
- Valid driver’s license and ability to drive for extended periods of time.
- Overnight travel required.
Our Benefits at a Glance:
Building tomorrow starts with you, and Granite knows that you can excel only if we support you in and out of the workplace. That is why we offer a broad benefits package that includes paid holidays, sick leave, medical, dental, vision, life insurance, disability insurance, flexible spending plans, as well as special programs for musculoskeletal health, mental wellness, and more.
Salaried employees may choose from two PPO medical plans through Anthem BlueCross, including our most popular plan, for which 100% of the premium is paid by Granite for eligible employees and dependents. Employees can also opt into a Health Savings Account (HSA) or a Flexible Spending Account (FSA).
As part of our investment in your future outside of the workplace, Granite provides a 100% match on the first 6% of eligible compensation that salaried employees defer into their 401(k) plans, which vests immediately.
Benefits may vary for positions located outside of the continental United States.
Base Salary Range:
$95,753.00 - $175,018.00* Pay may vary based upon relevant experience, skills, location, and education among other factors.
About Granite Construction Incorporated
Granite Construction Incorporated is a member of the S&P 400 Index and is the parent company of Granite Construction Company, one of the nation's largest heavy civil contractors and construction materials producers. Granite is a Drug-Free Workplace and Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, protected veteran status, or any other protected characteristic. We consider qualified applicants with arrest and conviction records in accordance with the San Francisco Fair Chance Ordinance, the Los Angeles Fair Chance Initiative for Hiring Ordinance, and other applicable laws.
For additional information on applicant/employee rights please click here.
Notice to Staffing Agencies
Granite Construction, Inc. and its subsidiaries ("Granite") will not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to Granite, including unsolicited resumes sent to a Granite mailing address, fax machine or email address, directly to Granite employees, or to Granite's resume database will be considered Granite property. Granite will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume. Granite will consider any candidate for whom an Agency has submitted an unsolicited resume to have been referred by the Agency free of any charges or fees. Agencies must obtain advance written approval from Granite's recruiting function to submit resumes, and then only in conjunction with a valid fully-executed contract for service and in response to a specific job opening. Granite will not pay a fee to any Agency that does not have such agreement in place. Agency agreements will only be valid if in writing and signed by Granite's Human Resources Representative or his/ her designee. No other Granite employee is authorized to bind Granite to any agreement regarding the placement of candidates by Agencies.
INTRODUCTION
Building a career at Granite may be the most valuable thing you could do. Find your dream job today, and be part of something great. Our most powerful partnership is the one we have with our employees. Our people are our most valued asset and the foundation of Granite’s century-old success. We’re building more than infrastructure; we are building your future.
General Summary
The AI Applications & Data Analytics Lead is responsible for building and scaling practical AI and data solutions that drive measurable improvements in safety, production, cost, and performance across construction materials operations. This role serves as the bridge between field operations and technology—turning operational data into actionable intelligence and deploying AI-enabled applications that improve decision-making, automate workflows, and enhance productivity. The position combines hands-on development capability with business leadership—owning the identification, prioritization, and execution of AI and analytics use cases across plants, sales, and support functions.
Essential Job Accountabilities
- Design, develop, and maintain AI-enabled applications supporting aggregate and asphalt plant operations and sales.
- Develop and implement machine learning and advanced analytics models to optimize production, pricing, plant uptime, and cost performance.
- Optimize product pricing with sales data including pricing and GIS data.
- Integrate AI solutions with existing operational software, plant systems, sensors, and databases.
- Enhance sales efficiency through the use of AI and bots to review specifications.
- Enhance and modernize legacy software systems through automation, predictive analytics, and decision-support tools.
- Build and maintain data pipelines, APIs, and services enabling real-time and near-real-time operational insights.
- Analyze large datasets from production systems, quality labs, and equipment to generate actionable intelligence.
- Collaborate with operations, sales, quality, maintenance, and IT teams to translate business needs into technical solutions.
- Ensure AI solutions align with cybersecurity standards, company policies, and responsible AI practices.
- Document systems, models, and processes to support long-term sustainability and user adoption.
- Continuously evaluate emerging AI and software technologies relevant to construction materials.
Education
Bachelor’s Degree in artificial intelligence, computer science, data science, mathematics, or related quantitative fields. Equivalent practical experience may be considered for candidates with a strong portfolio.
Work Experience
- Minimum of two (2) years of professional experience in software development, data analytics, AI or machine learning implementation.
- Experience delivering production-ready apps, and software solutions in operational or industrial environments.
- Strong data analytics skills.
- Experience working with databases, analytics platforms, and modern application architecture.
Knowledge, skills, and abilities
- Experience in aggregate, asphalt, construction materials, mining, sales or manufacturing operations.
- Familiarity with plant control systems, sales and production data.
- Experience with predictive maintenance, quality analytics, or process optimization.
- Strong communication skills and ability to work with non-technical stakeholders.
- Applied artificial intelligence and machine learning.
- Industrial software development and systems integration.
- Data-driven problem solving.
- Operational and sales mindset focused on safety, quality, and efficiency.
- Collaborative and partnership mindset.
Physical Demands
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. While performing the duties of this job, the employee is regularly required to talk and hear. The employee frequently is required to stand, walk, sit and use hands to operate a computer keyboard. The employee is required to walk uneven and steep ground to access property for the purpose of interacting with operations and sales employees. Specific vision abilities required by this job include close vision, and ability to adjust focus. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Additional Requirements/Skills
- Abide by Granite’s Code of Conduct on a daily basis.
- Valid driver’s license and ability to drive for extended periods of time.
- Overnight travel required.
Our Benefits at a Glance:
Building tomorrow starts with you, and Granite knows that you can excel only if we support you in and out of the workplace. That is why we offer a broad benefits package that includes paid holidays, sick leave, medical, dental, vision, life insurance, disability insurance, flexible spending plans, as well as special programs for musculoskeletal health, mental wellness, and more.
Salaried employees may choose from two PPO medical plans through Anthem BlueCross, including our most popular plan, for which 100% of the premium is paid by Granite for eligible employees and dependents. Employees can also opt into a Health Savings Account (HSA) or a Flexible Spending Account (FSA).
As part of our investment in your future outside of the workplace, Granite provides a 100% match on the first 6% of eligible compensation that salaried employees defer into their 401(k) plans, which vests immediately.
Benefits may vary for positions located outside of the continental United States.
Base Salary Range:
$95,753.00 - $175,018.00* Pay may vary based upon relevant experience, skills, location, and education among other factors.
About Granite Construction Incorporated
Granite Construction Incorporated is a member of the S&P 400 Index and is the parent company of Granite Construction Company, one of the nation's largest heavy civil contractors and construction materials producers. Granite is a Drug-Free Workplace and Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, protected veteran status, or any other protected characteristic. We consider qualified applicants with arrest and conviction records in accordance with the San Francisco Fair Chance Ordinance, the Los Angeles Fair Chance Initiative for Hiring Ordinance, and other applicable laws.
For additional information on applicant/employee rights please click here.
Notice to Staffing Agencies
Granite Construction, Inc. and its subsidiaries ("Granite") will not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to Granite, including unsolicited resumes sent to a Granite mailing address, fax machine or email address, directly to Granite employees, or to Granite's resume database will be considered Granite property. Granite will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume. Granite will consider any candidate for whom an Agency has submitted an unsolicited resume to have been referred by the Agency free of any charges or fees. Agencies must obtain advance written approval from Granite's recruiting function to submit resumes, and then only in conjunction with a valid fully-executed contract for service and in response to a specific job opening. Granite will not pay a fee to any Agency that does not have such agreement in place. Agency agreements will only be valid if in writing and signed by Granite's Human Resources Representative or his/ her designee. No other Granite employee is authorized to bind Granite to any agreement regarding the placement of candidates by Agencies.
AI Data Analyst Job Roles in Washington
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Search AI Data Analyst Jobs in WashingtonAI Data Analyst Jobs in Washington: Frequently Asked Questions
Which companies sponsor visas for AI data analysts in Washington?
Microsoft, Amazon, Google, Meta, and Tableau are among the most active H-1B visa sponsors for AI data analyst roles in Washington. Aerospace firms like Boeing and healthcare analytics companies operating in the Seattle area also file regularly. Smaller AI-focused startups in Bellevue and Seattle increasingly sponsor as the regional talent shortage pushes them toward international candidates.
Which visa types realistically fit AI data analyst roles in Washington?
The H-1B is the primary path, as AI data analyst roles qualify as specialty occupations requiring at least a bachelor's degree in a directly related field such as computer science, statistics, or data science. F-1 students can work via OPT, and those with a STEM-designated degree may qualify for the 24-month STEM OPT extension. Australian nationals may qualify for the E-3 visa, and Singaporean or Chilean nationals may consider the H-1B1 visa. EB-2 and EB-3 green card pathways are also available for longer-term sponsorship.
Which cities in Washington have the most AI data analyst sponsorship jobs?
Seattle accounts for the largest share of AI data analyst sponsorship activity in Washington, driven by its concentration of major tech employers and AI-focused startups. Redmond and Bellevue follow closely, anchored by Microsoft's campus and a growing cluster of enterprise software companies. Kirkland has also emerged as a secondary hub, particularly for mid-size tech firms with active international hiring programs.
How to find ai data analyst visa sponsorship jobs in Washington?
Migrate Mate lists AI data analyst positions in Washington filtered to employers with verified visa sponsorship history, so you can focus on companies that have actively filed for similar roles rather than applying broadly. Filtering by city allows you to target Seattle, Bellevue, or Redmond specifically. Checking employer filing history helps identify which organizations sponsor at scale versus those that sponsor occasionally.
Are there state-specific factors that affect AI data analyst sponsorship in Washington?
Washington's lack of a state income tax makes it attractive to both employers and international candidates, which supports competitive compensation structures that meet prevailing wage requirements for H-1B and related visas. The University of Washington produces a large pipeline of graduate-level AI and data science talent, and many local employers have established relationships with its international student population, making Washington a particularly active market for STEM OPT and H-1B sponsorship in this role category.
What is the prevailing wage for sponsored ai data analyst jobs in Washington?
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.