Analytics Engineer Visa Sponsorship Jobs in Washington
Analytics engineer visa sponsorship jobs in Washington are concentrated in the Seattle metro, home to Amazon, Microsoft, and Tableau, plus a growing cluster of data-driven companies in Bellevue and Redmond. Washington's tech sector runs heavily on international talent, making it one of the more active states for analytics engineering sponsorship.
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INTRODUCTION
At T-Mobile, we invest in YOU! Our Total Rewards Package ensures that employees get the same big love we give our customers. All team members receive a competitive base salary and compensation package - this is Total Rewards. Employees enjoy multiple wealth-building opportunities through our annual stock grant, employee stock purchase plan, 401(k), and access to free, year-round money coaches. That’s how we’re UNSTOPPABLE for our employees!
ROLE AND RESPONSIBILITIES
This role is responsible for building and maintaining the technical systems that power T-Mobile’s compensation operating model. This role sits at the intersection of applied AI, data engineering, and compensation strategy—designing scalable internal tools that automate complex workflows, centralize compensation data, and replace manual or vendor-dependent processes. The ideal candidate combines hands-on technical depth with the business fluency to translate compensation logic into auditable, enterprise-grade systems that serve both day-to-day operations and executive decision-making.
- Design, build, and continuously improve internal compensation workflow platforms that automate end-to-end processes—including intake, evaluation, benchmarking, approval routing, audit trail documentation, and downstream system integration—reducing reliance on manual effort and third-party tools.
- Architect and develop AI-enabled systems—including natural-language query interfaces and retrieval-based applications—that provide on-demand access to centralized compensation data, replacing static reporting with dynamic, always-on analytical capability.
- Engineer and maintain structured data pipelines that unify compensation, labor market, and job architecture data into reliable, governed data assets that support both operational workflows and executive decision-making.
- Integrate compensation platforms with enterprise systems and reporting tools to ensure real-time data visibility, reduce manual reconciliation, and deliver scalable, reproducible insights to compensation and HR stakeholders.
- Diagnose and resolve technical issues across the compensation systems stack—spanning APIs, data connections, workflow logic, and pricing models—in close collaboration with compensation operations, HR technology, and business stakeholders.
- Also responsible for other Duties/Projects as assigned by business management as needed.
EDUCATION AND WORK EXPERIENCE
- Bachelor's Degree plus 2 years of related work experience OR combination of education and experience deemed equivalent. Acceptable areas of study include HR, Communication, Business, or related field.
- Master's Degree Preferred.
- 2 – 4 years Strong proficiency in Python and SQL; hands-on experience building applied AI systems including LLM-based applications, retrieval-augmented generation (RAG), and agentic workflows. (Preferred)
- 2 – 4 years Experience designing and building multi-step workflow applications with complex state management, audit trail logic, SLA tracking, and role-based access or approval flows. (Preferred)
- 2 – 4 years Experience integrating enterprise data sources and APIs (e.g., Workday, Power BI, or equivalent HCM/BI platforms); familiarity with compensation, HR, or workforce analytics domains preferred. (Preferred)
KNOWLEDGE, SKILLS AND ABILITIES
- Ability to independently own complex, multi-workstream technical projects from design through deployment; diagnose and resolve cross-system technical issues; translate compensation business logic into precise technical specifications; communicate clearly with both technical and non-technical stakeholders; strong audit and documentation discipline; thrives in ambiguous, fast-moving environments. (Required)
- At least 18 years of age.
- Legally authorized to work in the United States.
COMPENSATION
- Total Target Cash Earnings Opportunity: $71,060 - $128,150.
- National Base Pay Range: $64,600 - $116,500.
The Total Target Cash Earnings Opportunity represents the expected total cash compensation for this role at target performance, combining base salary and annual incentive opportunity. Actual earnings may be higher or lower depending on individual performance and overall company results.
The base pay range reflects the compensation component of this opportunity. The candidate’s actual pay will be based on various factors, such as work location, qualifications, and experience, so the actual starting pay will vary within this range.
At T-Mobile, employees in regular, non-temporary roles are eligible for an annual bonus or periodic sales incentive or bonus, based on their role. Corporate employees are eligible for a year-end bonus based on individual and/or company performance and which is set at a percentage of the employee’s eligible earnings in the prior year. Certain positions in Customer Care are eligible for monthly bonuses based on individual and/or team performance. The incentive component included in the Total Target Cash Earnings Opportunity reflects target performance. Actual earnings included in the Total Target Cash Earnings Opportunity reflect target performance; actual payouts may vary.
BENEFITS
At T-Mobile, our benefits exemplify the spirit of One Team, Together! A big part of how we care for one another is working to ensure our benefits evolve to meet the needs of our team members. Full and part-time employees have access to the same benefits when eligible. We cover all of the bases, offering medical, dental and vision insurance, a flexible spending account, 401(k), employee stock grants, employee stock purchase plan, paid time off and up to 12 paid holidays - which total about 4 weeks for new full-time employees and about 2.5 weeks for new part-time employees annually - paid parental and family leave, family building benefits, back-up care, enhanced family support, childcare subsidy, tuition assistance, college coaching, short- and long-term disability, voluntary AD&D coverage, voluntary accident coverage, voluntary life insurance, voluntary disability insurance, and voluntary long-term care insurance. We don't stop there - eligible employees can also receive mobile service & home internet discounts, pet insurance, and access to commuter and transit programs!
Never stop growing!
As part of the T-Mobile team, you know the Un-carrier doesn’t have a corporate ladder–it’s more like a jungle gym of possibilities! We love helping our employees grow in their careers, because it’s that shared drive to aim high that drives our business and our culture forward. By applying for this career opportunity, you’re living our values while investing in your career growth–and we applaud it. You’re unstoppable!
T-Mobile USA, Inc. is an Equal Opportunity Employer. All decisions concerning the employment relationship will be made without regard to age, race, ethnicity, color, religion, creed, sex, sexual orientation, gender identity or expression, genetic information, national origin, religious affiliation, marital status, citizenship status, veteran status, the presence of any physical or mental disability, or any other status or characteristic protected by federal, state, or local law. Discrimination, retaliation or harassment based upon any of these factors is wholly inconsistent with how we do business and will not be tolerated.
Talent comes in all forms at the Un-carrier. If you are an individual with a disability and need reasonable accommodation at any point in the application or interview process, please let us know by emailing ApplicantAccommodation@t-mobile.com or calling 1-844-873-9500. Please note, this contact channel is not a means to apply for or inquire about a position and we are unable to respond to non-accommodation related requests.
Analytics Engineer Job Roles in Washington
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Search Analytics Engineer Jobs in WashingtonAnalytics Engineer Jobs in Washington: Frequently Asked Questions
Which companies sponsor visas for analytics engineers in Washington?
Amazon and Microsoft are the largest sponsors of analytics engineer roles in Washington, with consistent H-1B visa filings visible in DOL disclosure data. Tableau (now part of Salesforce), Expedia, T-Mobile, and Zillow also appear regularly as sponsors. Beyond these household names, a number of mid-size SaaS and cloud infrastructure companies headquartered in the Seattle and Bellevue area actively hire and sponsor analytics talent.
Which visa types are most common for analytics engineer roles in Washington?
The H-1B is the most common visa category for analytics engineers in Washington. The role typically qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, statistics, information systems, or a related field. Candidates already in the U.S. on F-1 OPT or STEM OPT often transition to H-1B through employer sponsorship. The O-1A is an option for those with an exceptional track record in data or engineering.
Which cities in Washington have the most analytics engineer sponsorship jobs?
Seattle accounts for the majority of analytics engineer sponsorship activity in Washington, driven by its dense concentration of tech headquarters and cloud computing firms. Bellevue and Redmond are close behind, largely because of Microsoft's Redmond campus and the eastside tech corridor. Smaller clusters exist in Kirkland and Bothell, but if sponsorship is a requirement, the Seattle metro area is where most of the opportunities are.
How to find analytics engineer visa sponsorship jobs in Washington?
Migrate Mate is built specifically for international candidates and filters analytics engineer roles in Washington by verified visa sponsorship willingness, saving you from manually researching each employer. Beyond the job board, reviewing DOL Labor Condition Application disclosure data can confirm which Washington employers have recently sponsored similar roles. Targeting companies with a documented history of H-1B filings in data and engineering significantly improves your chances of a productive application.
Are there state-specific considerations for analytics engineers pursuing sponsorship in Washington?
Washington has no state income tax, which affects prevailing wage comparisons since take-home pay differs from states with income tax, though DOL prevailing wages are set at the federal level regardless. The University of Washington produces a steady pipeline of analytics and data engineering graduates, meaning employer familiarity with visa sponsorship for international candidates is relatively high. Washington's tech sector density also means many employers have established immigration counsel and streamlined sponsorship processes compared to less tech-concentrated states.
What is the prevailing wage for sponsored analytics engineer 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.