Data Contributor Visa Sponsorship Jobs in Washington
Washington state is a strong market for data contributor roles, with major employers like Microsoft, Amazon, and Tableau concentrated in Seattle and Redmond. The state's tech sector and growing data infrastructure industry create consistent demand for international talent, making Washington one of the more active states for data contributor visa sponsorship.
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Brex is the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets. By combining global corporate cards and banking with intuitive spend management, bill pay, and travel software, Brex enables founders and finance teams to accelerate operations, gain real-time visibility, and control spend effortlessly. Brex’s AI-native automation and world-class service eliminate manual expense and accounting tasks for customers so they can focus on what matters most. Tens of thousands of the world's best companies run on Brex, including DoorDash, Coinbase, Robinhood, Zoom, Plaid, Reddit, and SeatGeek. Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We’re committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career.
Data at Brex
Our Scientists and Engineers work together to make data — and insights derived from data — a core asset across Brex. But it's more than just crunching numbers. The Data team at Brex develops infrastructure, statistical models, and products using data. Our work is ingrained in Brex's decision-making process, the efficiency of our operations, our risk management policies, and the unparalleled experience we provide our customers.
What You’ll Do
As a Data Engineer at Brex, you will be a core contributor in transforming raw data into actionable insights for various departments across the organization. You'll collaborate closely with Data Scientists, Software Engineers, and business units to create efficient data models, pipelines, and analytics frameworks that drive the business forward. You also play a leading role in the design, implementation, and maintenance of Core Data tables, our high-quality, curated data source for a wide range of analytic applications.
Where you’ll work
This role will be based in our Seattle office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of two coordinated days in the office per week, Wednesday and Thursday. Starting February 2, 2026, we will require three days per week in office - Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work!
Responsibilities
- Design, build, and maintain data models and pipelines that scale with the growing number of services, products, and changes in the company.
- Collaborate closely with Data Scientists, Data Analysts, and Business teams to understand their data needs, translating them into robust, efficient, scalable data solutions that enable ease of predictive analytics, data analysis, and metrics formulation.
- Maintain data documentation and definitions, building and ensuring that source-of-truth tables remain high quality for data science and reporting applications.
- Develop and enable integration with various data sources, allowing for more data-driven initiatives across the company.
- Apply best practices in data management to ensure the reliability and robustness of data utilized across various analytics applications.
- Set and proliferate company-wide standards for data relating to structure, quality, and expectations.
- Act as a liaison between the technical and non-technical teams, bridging gaps and ensuring that data solutions align with business objectives.
Requirements
- 3+ years of experience in Data Engineering, Data Analytics, or a related field such as Analytics Engineering.
- 2+ years of experience working with modern data transformation tools like DBT.
- Advanced knowledge of databases and SQL with the ability to efficiently stage, process, and transform data.
- Experience integrating and orchestrating data workflows with various modern data tools and systems.
- Experience with data modeling, ETL/ELT processes, and data warehousing solutions.
- Experience working with a data warehouse such as Snowflake.
- Experience with a data workflow orchestrator tool such as Airflow.
- Experience with a programming language such as Python.
- Familiarity with BI tools such as Looker, Tableau, or similar platforms is a plus.
- Exceptional quantitative and analytical skills.
- Strong communication skills and ability to collaborate with various stakeholders, both technical and non-technical.
Compensation
The expected salary range for this role is $120,800 - $151,000. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package. Brex LLC is a wholly owned subsidiary of Capital One, N.A.
Please be aware, job-seekers may be at risk of targeting by malicious actors looking for personal data. Brex recruiters will only reach out via LinkedIn or email with a brex.com domain. Any outreach claiming to be from Brex via other sources should be ignored.
Why join us
Brex is the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets. By combining global corporate cards and banking with intuitive spend management, bill pay, and travel software, Brex enables founders and finance teams to accelerate operations, gain real-time visibility, and control spend effortlessly. Brex’s AI-native automation and world-class service eliminate manual expense and accounting tasks for customers so they can focus on what matters most. Tens of thousands of the world's best companies run on Brex, including DoorDash, Coinbase, Robinhood, Zoom, Plaid, Reddit, and SeatGeek. Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We’re committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career.
Data at Brex
Our Scientists and Engineers work together to make data — and insights derived from data — a core asset across Brex. But it's more than just crunching numbers. The Data team at Brex develops infrastructure, statistical models, and products using data. Our work is ingrained in Brex's decision-making process, the efficiency of our operations, our risk management policies, and the unparalleled experience we provide our customers.
What You’ll Do
As a Data Engineer at Brex, you will be a core contributor in transforming raw data into actionable insights for various departments across the organization. You'll collaborate closely with Data Scientists, Software Engineers, and business units to create efficient data models, pipelines, and analytics frameworks that drive the business forward. You also play a leading role in the design, implementation, and maintenance of Core Data tables, our high-quality, curated data source for a wide range of analytic applications.
Where you’ll work
This role will be based in our Seattle office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of two coordinated days in the office per week, Wednesday and Thursday. Starting February 2, 2026, we will require three days per week in office - Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work!
Responsibilities
- Design, build, and maintain data models and pipelines that scale with the growing number of services, products, and changes in the company.
- Collaborate closely with Data Scientists, Data Analysts, and Business teams to understand their data needs, translating them into robust, efficient, scalable data solutions that enable ease of predictive analytics, data analysis, and metrics formulation.
- Maintain data documentation and definitions, building and ensuring that source-of-truth tables remain high quality for data science and reporting applications.
- Develop and enable integration with various data sources, allowing for more data-driven initiatives across the company.
- Apply best practices in data management to ensure the reliability and robustness of data utilized across various analytics applications.
- Set and proliferate company-wide standards for data relating to structure, quality, and expectations.
- Act as a liaison between the technical and non-technical teams, bridging gaps and ensuring that data solutions align with business objectives.
Requirements
- 3+ years of experience in Data Engineering, Data Analytics, or a related field such as Analytics Engineering.
- 2+ years of experience working with modern data transformation tools like DBT.
- Advanced knowledge of databases and SQL with the ability to efficiently stage, process, and transform data.
- Experience integrating and orchestrating data workflows with various modern data tools and systems.
- Experience with data modeling, ETL/ELT processes, and data warehousing solutions.
- Experience working with a data warehouse such as Snowflake.
- Experience with a data workflow orchestrator tool such as Airflow.
- Experience with a programming language such as Python.
- Familiarity with BI tools such as Looker, Tableau, or similar platforms is a plus.
- Exceptional quantitative and analytical skills.
- Strong communication skills and ability to collaborate with various stakeholders, both technical and non-technical.
Compensation
The expected salary range for this role is $120,800 - $151,000. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package. Brex LLC is a wholly owned subsidiary of Capital One, N.A.
Please be aware, job-seekers may be at risk of targeting by malicious actors looking for personal data. Brex recruiters will only reach out via LinkedIn or email with a brex.com domain. Any outreach claiming to be from Brex via other sources should be ignored.
Data Contributor Job Roles in Washington
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Search Data Contributor Jobs in WashingtonData Contributor Jobs in Washington: Frequently Asked Questions
Which companies sponsor visas for data contributors in Washington?
Microsoft and Amazon are the most active sponsors for data contributor roles in Washington, with large data engineering and content operations teams in Redmond and Seattle. Tableau (now part of Salesforce), Expedia Group, and T-Mobile also appear in sponsorship filings for data-related positions. Smaller tech firms and data platform startups in the Seattle metro area also sponsor, though less frequently than the large tech employers.
Which visa types are most common for data contributor roles in Washington?
The H-1B is the most common visa category for data contributor roles in Washington, particularly when the position requires a bachelor's degree in a relevant field such as computer science, information systems, or a related discipline. Some roles may qualify under the O-1A if the applicant has demonstrated exceptional ability. For Canadian and Mexican nationals, the TN visa is another pathway if the role maps to an eligible TN occupation category.
Which cities in Washington have the most data contributor sponsorship jobs?
Seattle and Redmond account for the large majority of data contributor sponsorship activity in Washington. Seattle's broader tech corridor, which includes South Lake Union and Bellevue, hosts significant data operations teams. Redmond is home to Microsoft's main campus, where data contributor and content annotation roles are concentrated. Spokane and Tacoma have smaller tech presences but see occasional sponsorship activity from regional employers.
How to find data contributor visa sponsorship jobs in Washington?
Migrate Mate is built specifically for international job seekers and filters data contributor roles in Washington by visa sponsorship availability, saving you from sorting through positions that won't support a work visa. You can filter by state, role type, and visa category to focus on employers who have a track record of sponsoring in Washington. Checking employer H-1B disclosure data alongside Migrate Mate listings gives a clearer picture of which companies actively file for data contributor positions.
Are there any Washington-specific factors that affect data contributor sponsorship?
Washington's concentration of large tech employers means prevailing wage requirements for data contributor roles are set against a competitive regional labor market, which influences the wage levels employers must commit to in H-1B filings. The University of Washington and Washington State University also produce a steady pipeline of international graduates in data and information fields, which keeps employer familiarity with sponsorship processes relatively high compared to other states.
What is the prevailing wage for sponsored data contributor 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.
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