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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Overview:
We are seeking an engineer to build and own the MAC Analyzer and MAC feature automation framework. This role sits at the intersection of automation, data analytics, and MAC domain expertise, with the goal of democratizing MAC-level diagnostics and ensuring robust automated validation of MAC features across releases.
Role Summary:
The MAC Analyzer will leverage computational analysis against SDN and telemetry databases to systematically examine contacts, identify problem areas, and surface actionable insights. The tool will enable anyone across teams to run MAC-level diagnostics without requiring deep domain expertise, delivering more consistent and thorough analysis than manual methods allow. Additionally, this role will own the MAC feature automation framework to ensure all MAC features are continuously validated across releases with minimal manual intervention.
Key Responsibilities:
MAC Analytics
- Design and develop the MAC Analyzer tool with ML-based anomaly detection and predictive capabilities, encoding experienced MAC engineer diagnostic methodologies into automated workflows that interface with SDN and telemetry databases
- Build self-improving analytical pipelines that automate triage, root cause analysis, and reporting from raw telemetry data, trained on historical contact data and engineer patterns
- Create intuitive interfaces that make MAC diagnostics accessible to non-domain experts, continuously expanding coverage based on new failure modes and field observations
MAC Feature Automation
- Design, develop, and maintain an automated test framework covering MAC features (QoS, scheduling, grant handling, multicast, traffic shaping) integrated into the payload test framework and release qualification loop
- Automate scenario-based testing for complex MAC configurations (simplex DL/UL combinations, MCS edge cases, burst handling) with traffic generation tools that replicate field conditions in lab environments
- Build regression suites with comprehensive test coverage metrics, collaborating with the release team to ensure seamless integration into the release testing pipeline
Qualifications:
- Experience in software development with strong data analysis and test automation skills
- Familiarity with database querying (SDN, telemetry, or similar systems)
- Ability to translate complex engineering heuristics into algorithmic workflows
- Experience building test frameworks and automation pipelines
- Experience with machine learning frameworks and data processing at scale
- Experience building tools or platforms used by cross-functional teams
- Strong communication skills to work with domain experts and capture analytical approaches
Preferred:
- Background in wireless/MAC layer systems or telecommunications
- Experience with telemetry data pipelines and observability tooling
- Familiarity with statistical analysis, anomaly detection, and time-series forecasting
- Experience with release qualification processes and CI/CD integration
BASIC QUALIFICATIONS
- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- 1+ years of software development engineer or related occupational experience
- 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience
- 1+ years of Object Oriented Design experience
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
- Experience programming with at least one software programming language
PREFERRED QUALIFICATIONS
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
LOCATION
USA, WA, Redmond
COMPENSATION
- Salary Range: $143,700.00 - $194,400.00 USD annually
DESCRIPTION
Overview:
We are seeking an engineer to build and own the MAC Analyzer and MAC feature automation framework. This role sits at the intersection of automation, data analytics, and MAC domain expertise, with the goal of democratizing MAC-level diagnostics and ensuring robust automated validation of MAC features across releases.
Role Summary:
The MAC Analyzer will leverage computational analysis against SDN and telemetry databases to systematically examine contacts, identify problem areas, and surface actionable insights. The tool will enable anyone across teams to run MAC-level diagnostics without requiring deep domain expertise, delivering more consistent and thorough analysis than manual methods allow. Additionally, this role will own the MAC feature automation framework to ensure all MAC features are continuously validated across releases with minimal manual intervention.
Key Responsibilities:
MAC Analytics
- Design and develop the MAC Analyzer tool with ML-based anomaly detection and predictive capabilities, encoding experienced MAC engineer diagnostic methodologies into automated workflows that interface with SDN and telemetry databases
- Build self-improving analytical pipelines that automate triage, root cause analysis, and reporting from raw telemetry data, trained on historical contact data and engineer patterns
- Create intuitive interfaces that make MAC diagnostics accessible to non-domain experts, continuously expanding coverage based on new failure modes and field observations
MAC Feature Automation
- Design, develop, and maintain an automated test framework covering MAC features (QoS, scheduling, grant handling, multicast, traffic shaping) integrated into the payload test framework and release qualification loop
- Automate scenario-based testing for complex MAC configurations (simplex DL/UL combinations, MCS edge cases, burst handling) with traffic generation tools that replicate field conditions in lab environments
- Build regression suites with comprehensive test coverage metrics, collaborating with the release team to ensure seamless integration into the release testing pipeline
Qualifications:
- Experience in software development with strong data analysis and test automation skills
- Familiarity with database querying (SDN, telemetry, or similar systems)
- Ability to translate complex engineering heuristics into algorithmic workflows
- Experience building test frameworks and automation pipelines
- Experience with machine learning frameworks and data processing at scale
- Experience building tools or platforms used by cross-functional teams
- Strong communication skills to work with domain experts and capture analytical approaches
Preferred:
- Background in wireless/MAC layer systems or telecommunications
- Experience with telemetry data pipelines and observability tooling
- Familiarity with statistical analysis, anomaly detection, and time-series forecasting
- Experience with release qualification processes and CI/CD integration
BASIC QUALIFICATIONS
- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- 1+ years of software development engineer or related occupational experience
- 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience
- 1+ years of Object Oriented Design experience
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
- Experience programming with at least one software programming language
PREFERRED QUALIFICATIONS
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
LOCATION
USA, WA, Redmond
COMPENSATION
- Salary Range: $143,700.00 - $194,400.00 USD annually
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.