Data Engineer Jobs at Plaid with Visa Sponsorship
Plaid's Data Engineer roles sit at the intersection of financial infrastructure and large-scale data systems, requiring deep expertise in pipeline architecture and data reliability. Plaid has an established track record of sponsoring work visas for technical talent in this function, supporting candidates through both initial status and long-term immigration pathways.
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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.
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Get Access To All JobsTips for Finding Data Engineer Jobs at Plaid Jobs
Align your portfolio to Plaid's stack
Plaid's data infrastructure runs on modern cloud and streaming tools. Before applying, ensure your portfolio projects demonstrate experience with systems like Kafka, Spark, or dbt alongside the data reliability and quality work their engineering teams prioritize.
Clarify your visa status in applications
When applying, specify your current status and authorization type upfront. Plaid's recruiting team handles multiple visa types, so distinguishing between F-1 OPT, TN, and H-1B sponsorship need helps route your application to the right hiring pathway without delays.
Time OPT applications around Plaid's hiring cycles
If you're on F-1 OPT, apply at least three months before your authorization expires. Plaid's offer and onboarding process for technical roles has meaningful lead time, and USCIS OPT STEM extension applications require 90 days of remaining authorization to file without gaps.
Prepare your degree equivalency documentation early
H-1B specialty occupation petitions require your degree to align directly with the Data Engineer role. If your credentials are from outside the U.S., get a credential evaluation completed before receiving an offer so it's ready when Plaid's immigration counsel needs it.
Understand Plaid's PERM timeline if targeting Green Card
Plaid sponsors EB-2 and EB-3 Green Cards, but PERM labor certification through DOL takes time and typically begins after you've established yourself in the role. Knowing this timeline helps you plan your status extensions and avoid gaps in work authorization.
Find open roles through Migrate Mate
Filtering for Data Engineer roles at visa-sponsoring fintech companies is time-consuming manually. Use Migrate Mate to browse current Data Engineer openings at Plaid filtered by visa type, so you're only spending time on roles where your sponsorship needs are already confirmed.
Data Engineer at Plaid jobs are hiring across the US. Find yours.
Find Data Engineer at Plaid JobsFrequently Asked Questions
Does Plaid sponsor H-1B visas for Data Engineers?
Yes, Plaid sponsors H-1B visas for Data Engineer roles. Sponsorship typically covers both new H-1B petitions filed through the annual USCIS lottery and transfers for candidates who already hold H-1B status with another employer. If you're mid-cycle on an existing H-1B, Plaid can file a transfer petition so you can start without waiting for a new cap slot.
How do I apply for Data Engineer jobs at Plaid?
Apply directly through Plaid's careers page, or use Migrate Mate to browse current Data Engineer openings at Plaid filtered by visa sponsorship type. When you apply, clearly state your current work authorization status and whether you require sponsorship. Plaid's technical hiring process typically includes a recruiter screen, coding assessments focused on data systems, and a structured interview loop with the data engineering team.
Which visa types does Plaid commonly sponsor for Data Engineer roles?
Plaid sponsors H-1B, TN, and F-1 OPT and CPT for Data Engineer positions, and supports Green Card pathways through EB-2 and EB-3 classifications for longer-term employees. TN visas apply to Canadian and Mexican nationals in qualifying professional categories. The right pathway depends on your nationality, degree field, and current status, so it's worth discussing your specific situation with Plaid's recruiting team early.
What qualifications and experience does Plaid expect for Data Engineer roles?
Plaid's Data Engineer roles generally require a bachelor's degree or higher in computer science, engineering, or a closely related field, which also satisfies the H-1B specialty occupation requirement. Practically, they look for hands-on experience building and maintaining data pipelines at scale, familiarity with cloud data platforms, and a track record of improving data quality or reliability in production environments.
How do I time my application to avoid gaps in work authorization?
If you're on F-1 OPT, apply early enough that an offer can be extended and onboarding completed before your authorization expires. For H-1B transfers, USCIS allows you to start working for the new employer as soon as Plaid files the transfer petition, not after approval. For new H-1B lottery participants, the earliest start date is October 1 of the fiscal year following selection, so factor that gap into your planning.
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