Fintech Jobs in Washington with F-1 OPT Sponsorship
F-1 OPT fintech jobs in Washington are concentrated in Seattle, where companies like Amazon, Microsoft, and a growing cluster of fintech startups and payment technology firms actively hire international students. Washington's tech-driven economy and proximity to major financial institutions make it one of the stronger states for OPT-authorized fintech roles in software engineering, data science, and product development.
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Get Access To All JobsINTRODUCTION
We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK, and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London, and Amsterdam.
The main goal of the DE team in 2024-25 is to build robust golden data sets to power our business goals of creating more insights-based products. Making data-driven decisions is key to Plaid's culture. To support that, we need to scale our data systems while maintaining correct and complete data. We provide tooling and guidance to teams across engineering, product, and business and help them explore our data quickly and safely to get the data insights they need, which ultimately helps Plaid serve our customers more effectively.
Data Engineers heavily leverage SQL and Python to build data workflows. We use tools like DBT, Airflow, Redshift, ElasticSearch, Atlanta, and Retool to orchestrate data pipelines and define workflows. We work with engineers, product managers, business intelligence, data analysts, and many other teams to build Plaid's data strategy and a data-first mindset. Our engineering culture is IC-driven -- we favor bottom-up ideation and empowerment of our incredibly talented team. We are looking for engineers who are motivated by creating impact for our consumers and customers, growing together as a team, shipping the MVP, and leaving things better than we found them.
You will be in a high impact role that will directly enable business leaders to make faster and more informed business judgements based on the datasets you build. You will have the opportunity to carve out the ownership and scope of internal datasets and visualizations across Plaid which is a currently unowned area that we intend to take over and build SLAs on. You will have the opportunity to learn best practices and up-level your technical skills from our strong DE team and from the broader Data Platform team. You will collaborate with and have strong and cross-functional partnerships with literally all teams at Plaid from Engineering to Product to Marketing/Finance etc.
Responsibilities
- Understanding different aspects of the Plaid product and strategy to inform golden dataset choices, design, and data usage principles.
- Have data quality and performance top of mind while designing datasets.
- Leading key data engineering projects that drive collaboration across the company.
- Advocating for adopting industry tools and practices at the right time.
- Owning core SQL and Python data pipelines that power our data lake and data warehouse.
- Well-documented data with defined dataset quality, uptime, and usefulness.
QUALIFICATIONS
- 4+ years of dedicated data engineering experience, solving complex data pipelines issues at scale.
- You’ve have experience building data models and data pipelines on top of large datasets (in the order of 500TB to petabytes).
- You value SQL as a flexible and extensible tool, and are comfortable with modern SQL data orchestration tools like DBT, Mode, and Airflow.
- You have experience working with different performant warehouses and data lakes; Redshift, Snowflake, Databricks.
- You have experience building and maintaining batch and real-time pipelines using technologies like Spark, Kafka.
- You appreciate the importance of schema design, and can evolve an analytics schema on top of unstructured data.
- You are excited to try out new technologies. You like to produce proof-of-concepts that balance technical advancement and user experience and adoption.
- You like to get deep in the weeds to manage, deploy, and improve low-level data infrastructure.
- You are empathetic working with stakeholders. You listen to them, ask the right questions, and collaboratively come up with the best solutions for their needs while balancing infra and business needs.
- You are a champion for data privacy and integrity, and always act in the best interest of consumers.
COMPENSATION
- Salary Range: $180,000 - $270,000 a year
The target base salary for this position ranges from $180,000/year to $270,000/year in Zone 1. The target base salary will vary based on the job's location.
Our Geographic Zones Are As Follows
- Zone 1 - New York City and San Francisco Bay Area
- Zone 2 - Los Angeles, Seattle, Washington D.C.
- Zone 3 - Austin, Boston, Denver, Houston, Portland, Sacramento, San Diego
- Zone 4 - Raleigh-Durham and all other US cities
Additional compensation in the form(s) of equity and/or commission are dependent on the position offered. Plaid provides a comprehensive benefit plan, including medical, dental, vision, and 401(k). Pay is based on factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience and skillset, and location. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.
Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable. We recognize that strong qualifications can come from both prior work experiences and lived experiences. We encourage you to apply to a role even if your experience doesn't fully match the job description. We are always looking for team members that will bring something unique to Plaid!
Plaid is proud to be an equal opportunity employer and values diversity at our company. We do not discriminate based on race, color, national origin, ethnicity, religion or religious belief, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, military or veteran status, disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local laws.
Plaid is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance with your application or interviews due to a disability, please let us know at [email protected]
Please review our Candidate Privacy Notice here.
INTRODUCTION
We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK, and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London, and Amsterdam.
The main goal of the DE team in 2024-25 is to build robust golden data sets to power our business goals of creating more insights-based products. Making data-driven decisions is key to Plaid's culture. To support that, we need to scale our data systems while maintaining correct and complete data. We provide tooling and guidance to teams across engineering, product, and business and help them explore our data quickly and safely to get the data insights they need, which ultimately helps Plaid serve our customers more effectively.
Data Engineers heavily leverage SQL and Python to build data workflows. We use tools like DBT, Airflow, Redshift, ElasticSearch, Atlanta, and Retool to orchestrate data pipelines and define workflows. We work with engineers, product managers, business intelligence, data analysts, and many other teams to build Plaid's data strategy and a data-first mindset. Our engineering culture is IC-driven -- we favor bottom-up ideation and empowerment of our incredibly talented team. We are looking for engineers who are motivated by creating impact for our consumers and customers, growing together as a team, shipping the MVP, and leaving things better than we found them.
You will be in a high impact role that will directly enable business leaders to make faster and more informed business judgements based on the datasets you build. You will have the opportunity to carve out the ownership and scope of internal datasets and visualizations across Plaid which is a currently unowned area that we intend to take over and build SLAs on. You will have the opportunity to learn best practices and up-level your technical skills from our strong DE team and from the broader Data Platform team. You will collaborate with and have strong and cross-functional partnerships with literally all teams at Plaid from Engineering to Product to Marketing/Finance etc.
Responsibilities
- Understanding different aspects of the Plaid product and strategy to inform golden dataset choices, design, and data usage principles.
- Have data quality and performance top of mind while designing datasets.
- Leading key data engineering projects that drive collaboration across the company.
- Advocating for adopting industry tools and practices at the right time.
- Owning core SQL and Python data pipelines that power our data lake and data warehouse.
- Well-documented data with defined dataset quality, uptime, and usefulness.
QUALIFICATIONS
- 4+ years of dedicated data engineering experience, solving complex data pipelines issues at scale.
- You’ve have experience building data models and data pipelines on top of large datasets (in the order of 500TB to petabytes).
- You value SQL as a flexible and extensible tool, and are comfortable with modern SQL data orchestration tools like DBT, Mode, and Airflow.
- You have experience working with different performant warehouses and data lakes; Redshift, Snowflake, Databricks.
- You have experience building and maintaining batch and real-time pipelines using technologies like Spark, Kafka.
- You appreciate the importance of schema design, and can evolve an analytics schema on top of unstructured data.
- You are excited to try out new technologies. You like to produce proof-of-concepts that balance technical advancement and user experience and adoption.
- You like to get deep in the weeds to manage, deploy, and improve low-level data infrastructure.
- You are empathetic working with stakeholders. You listen to them, ask the right questions, and collaboratively come up with the best solutions for their needs while balancing infra and business needs.
- You are a champion for data privacy and integrity, and always act in the best interest of consumers.
COMPENSATION
- Salary Range: $180,000 - $270,000 a year
The target base salary for this position ranges from $180,000/year to $270,000/year in Zone 1. The target base salary will vary based on the job's location.
Our Geographic Zones Are As Follows
- Zone 1 - New York City and San Francisco Bay Area
- Zone 2 - Los Angeles, Seattle, Washington D.C.
- Zone 3 - Austin, Boston, Denver, Houston, Portland, Sacramento, San Diego
- Zone 4 - Raleigh-Durham and all other US cities
Additional compensation in the form(s) of equity and/or commission are dependent on the position offered. Plaid provides a comprehensive benefit plan, including medical, dental, vision, and 401(k). Pay is based on factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience and skillset, and location. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.
Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable. We recognize that strong qualifications can come from both prior work experiences and lived experiences. We encourage you to apply to a role even if your experience doesn't fully match the job description. We are always looking for team members that will bring something unique to Plaid!
Plaid is proud to be an equal opportunity employer and values diversity at our company. We do not discriminate based on race, color, national origin, ethnicity, religion or religious belief, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, military or veteran status, disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local laws.
Plaid is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance with your application or interviews due to a disability, please let us know at [email protected]
Please review our Candidate Privacy Notice here.
Job Roles in Fintech in Washington
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Get Access To All JobsFrequently Asked Questions
Which fintech companies sponsor F-1 OPT visas in Washington?
Several Washington-based employers have a track record of hiring F-1 OPT workers in fintech. Amazon's financial services and payments divisions, WEX, Remitly, and Stripe's Seattle-area operations are among the employers that have filed OPT-related work authorizations. Larger tech companies with fintech products tend to have established international hiring processes, while early-stage startups vary significantly in their familiarity with OPT authorization requirements.
Which cities in Washington have the most fintech F-1 OPT sponsorship jobs?
Seattle accounts for the overwhelming majority of fintech F-1 OPT opportunities in Washington, driven by its dense concentration of technology employers and proximity to the University of Washington, which produces a large international student talent pipeline. Bellevue and Redmond also have meaningful fintech hiring activity, particularly through Microsoft's financial technology and commerce teams. Other Washington cities have limited fintech employer density by comparison.
How do I find fintech F-1 OPT sponsorship jobs in Washington?
Migrate Mate is built specifically for international students searching for OPT-friendly roles, including fintech positions in Washington. You can filter by visa type and industry to surface employers that have sponsored F-1 OPT workers in fintech rather than sorting through general job boards where sponsorship availability is rarely disclosed. Targeting companies with existing OPT hiring patterns in Washington significantly improves your chances of finding a viable match during your authorized period.
What types of fintech roles typically qualify for F-1 OPT sponsorship in Washington?
Roles that align with a STEM degree field are the most common OPT-qualifying positions in Washington fintech. Software engineering, data engineering, quantitative analysis, machine learning, and cybersecurity roles within fintech companies frequently meet OPT authorization criteria. Product management and UX research roles may qualify depending on the specific degree field listed on the student's I-20. Business development and sales roles less commonly align with STEM OPT classification, though each case depends on the individual's degree program.
Are there any Washington-specific considerations for F-1 OPT fintech jobs?
Washington has no state income tax, which affects compensation comparisons but has no bearing on OPT authorization itself. More relevant is Washington's competitive technology hiring market, where fintech roles often require demonstrated technical skills even at entry level. International students on OPT should also be aware that Washington fintech employers, particularly in payments and banking infrastructure, may require background checks or security reviews that can affect start date timelines relative to OPT validity windows.
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