Prepare for and practice interview questions from Plaid.

Plaid Interview Questions

Plaid Interview Guides

You are testing hundreds of hypotheses with many t-tests. What considerations should be made?

What is a key disadvantage of the F-test when compared to multiple t-tests?

What is a key disadvantage of the F-test when compared to multiple t-tests?

Hundreds of Hypotheses

You are testing hundreds of hypotheses with many t-tests. What considerations should be made?

In an A/B test, how can you check if assignment to the various buckets was truly random?

In an A/B test, which of the following is a common method to determine if the assignment to the test groups was truly random?

In an A/B test, which of the following is a common method to determine if the assignment to the test groups was truly random?

Random Bucketing

Let’s say that your company is running a standard control and variant AB test on a feature to increase conversion rates on the landing page. The PM checks the results and finds a .04 p-value.

How would you assess the validity of the result?

Experiment Validity

Plaid Salaries by Position

We build simple yet innovative consumer products and developer APIs that shape how everybody interacts with money and the financial system.
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 all teams at Plaid from Engineering to Product to Marketing/Finance.
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 experience building data models and 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.
$182,250.00 - $243,000.00 per year
Target base Salary for this role is $182,250 - $297,640 per year. 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 accommodations@plaid.com.

#J-18808-Ljbffr

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. #LI-Hybrid
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   Defining the long-term technical roadmap for building a data-driven culture at Plaid.
Deeply understanding different aspects of the Plaid product and strategy to inform golden dataset choices, design and data usage principles.
Focus on data quality and privacy.
Leading key data engineering projects that drive collaboration across the company.
Mentoring engineers, operations, and data analysts on best practices for data organization and query performance.
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   6+ years of dedicated data engineering experience, solving complex data pipelines issues at scale.
You value SQL as a flexible and extensible tool, and are comfortable with modern SQL data orchestration tools like DBT, Mode, high touch, and Airflow.
Experience working both real-time systems like Kinesis, Kafka, Flink, and batch data pipelines in Redshift, Presto, and Data Lakes.
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.
You are a champion for data privacy and integrity, and always act in the best interest of consumers.
$182,250 - $297,000 a year  Target base Salary for this role is $182,250 - $297,640 per year. 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 accommodations@plaid.com
Please review our Candidate Privacy Notice here .

#J-18808-Ljbffr

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 Payment Risk team is responsible for developing a suite of risk products for Plaid’s customers to manage risk in bank payments. This team delivers sophisticated risk predictions as well as direct signals through public APIs that customers use to understand and manage risk on their payment flows.
As a software engineer on the payment risk team, you will work on tooling and infrastructure that facilitates the development of our machine learning based risk models, from data and feature pipelines to model evaluation framework. You will also work on model serving infrastructure to support real time risk assessment based on large amounts of data at low latency. Your work will contribute to the rapid growth of an innovative product.
Responsibilities   Build products with real impact: your work will touch tens of millions of end-users, the best applications in FinTech, and major financial institutions
Develop tools and infrastructure for quick iteration on machine learning features and models
Passionate about applying Machine Learning to real-world problems, especially financial fraud
Technical leadership in engineering excellence and mentorship
Qualifications   4+ years of software engineering experience
Experience in building production infrastructure for machine learning feature engineering or model training, evaluating, and deploying
End-to-end process ownership and customer obsession
Target base salary for this role is between $182,520 and $297,000 per year. 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.
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 accommodations@plaid.com.

#J-18808-Ljbffr

Data Engineering is a cornerstone of Plaid's data-focused vision, playing a pivotal role in fostering a data-driven culture and advancing our vision of delivering trustworthy, truly differentiated data products powered by the largest network of user financial profiles. To support our data-focused vision, we need to scale our data systems while maintaining correct and complete data. We provide golden datasets and tooling 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. In addition, Plaid will not be successful if we can't move quickly. We build the data systems and tools that enable everyone at Plaid to be data-driven, making analytics easy, obvious, and proactive across the company.

Data Engineers heavily leverage SQL and Python to build data workflows that integrate with our Golang applications. We use tools like DBT, Airflow, Redshift, Atlan, and Retool to orchestrate data pipelines and define workflows. We work with data scientists, product analytics, business intelligence, software engineers, product managers, 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 and technical leaders 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.

Drive Data Standards and Culture @ Plaid: You will play a high-impact role in defining and promoting data standards and fostering a strong data-driven culture across Plaid.

Deliver and Scale Golden Datasets: You will own the creation and future iterations of Golden Datasets for all major Plaid data models, driving their adoption across key data use cases to empower teams with reliable and actionable insights

Shape Unified Data Architecture: You will collaborate with other data practitioners and leaders to design a unified data architecture and conventions, making data at Plaid more accessible and intuitive. You'll also enhance data exploration tools to enable efficient and effective usage of data across the organization.

Mentor and Build Technical Excellence: You will mentor junior engineers on the team, providing guidance on designs and implementations. You'll play a key role in fostering a strong technical culture, empowering the team to deliver high-quality, scalable solutions.

Responsibilities

Serving as the primary technical DRI, defining and executing the long-term technical roadmap to build and sustain a data-driven culture at Plaid.
Working closely with senior leadership and executives to shape Plaid's data engineering strategy and roadmap, ensuring alignment with the company's data-focused product goals and overall vision.
Deep understanding of Plaid's products and strategy in order to inform the design of Golden Datasets, set data usage principles, and ensure data is structured for maximum impact and usability.
Focus on delivering well-documented datasets with clearly defined quality metrics, uptime guarantees, and demonstrable usefulness.
Leading critical data engineering projects that foster collaboration across teams, driving innovation and efficiency throughout the company.
Mentoring engineers, operations, and data practitioners on best practices for data organization.
Advocating for the adoption of emerging industry tools and practices, evaluating their fit and implementing them at the right time to keep Plaid at the forefront of data engineering.
Owning core SQL and Python data pipelines that power our data lake and data warehouse, ensuring their reliability, scalability, and efficiency.
Upholding Plaid's commitment to data quality and privacy, embedding these principles into every aspect of data work.
Qualifications      10+ years of experience in data engineering, with a proven track record of building scalable data systems and pipelines.
Experience working with massive datasets (500TB to petabytes) and developing robust data models and pipelines on top of them
Lead major data modeling, schema design, and data architecture efforts in past roles
Deep appreciation for schema design and the ability to evolve analytics schemas on top of unstructured data.
Advanced knowledge of SQL as a flexible, extensible tool and experience with modern orchestration tools like DBT, Mode, and Airflow.
Hands-on experience with performant data warehouses and lakes such as Redshift, Snowflake, and Databricks.
Building and maintaining both batch and real-time pipelines using technologies like Spark and Kafka.
Excited about exploring new technologies and building proof-of-concepts that balance technical innovation with user experience and adoption.
Enjoy getting into the technical details to manage, deploy, and optimize low-level data infrastructure.
Champion for data privacy and integrity, and always act in the best interest of consumers.

$204,120 - $360,000 a year

Target base salary for this role is between $204,120 and $360,000 per year. 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.

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. #LI-Hybrid 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 <ul><li>Defining the long-term technical roadmap for building a data-driven culture at Plaid. </li><li>Deeply understanding different aspects of the Plaid product and strategy to inform golden dataset choices, design and data usage principles. </li><li>Focus on data quality and privacy. </li><li>Leading key data engineering projects that drive collaboration across the company. </li><li>Mentoring engineers, operations, and data analysts on best practices for data organization and query performance. </li><li>Advocating for adopting industry tools and practices at the right time. </li><li>Owning core SQL and Python data pipelines that power our data lake and data warehouse. </li><li>Well-documented data with defined dataset quality, uptime, and usefulness. </li> </ul>Qualifications <ul><li>6+ years of dedicated data engineering experience, solving complex data pipelines issues at scale. </li><li>You value SQL as a flexible and extensible tool, and are comfortable with modern SQL data orchestration tools like DBT, Mode, high touch, and Airflow. </li><li>Experience working both real-time systems like Kinesis, Kafka, Flink, and batch data pipelines in Redshift, Presto, and Data Lakes. </li><li>You appreciate the importance of schema design, and can evolve an analytics schema on top of unstructured data. </li><li>You are excited to try out new technologies. You like to produce proof-of-concepts that balance technical advancement and user experience and adoption. </li><li>You like to get deep in the weeds to manage, deploy, and improve low level data infrastructure. </li><li>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. </li><li>You are a champion for data privacy and integrity, and always act in the best interest of consumers. </li> </ul>$182,250 - $297,000 a year Target base Salary for this role is $182,250 - $297,640 per year. 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 Please review our Candidate Privacy Notice<a >here </a>. #J-18808-Ljbffr

We build simple yet innovative consumer products and developer APIs that shape how everybody interacts with money and the financial system.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.<h3>Responsibilities:</h3><ul><li>Design & Development: Build and maintain backend services with a focus on performance, reliability and scalability.</li><li>Collaboration: Work closely with product managers and other stakeholders to define and implement new features that meet product and customer needs.</li><li>Code Quality: Write clean, maintainable and efficient code.</li><li>Testing & Debugging: Develop automated tests to ensure the quality and reliability of the codebase. Troubleshoot and resolve issues.</li><li>Engage in hands-on coding and architectural design, setting and maintaining high technical standards for a high performing team.</li><li>Grow the team via mentorship and leadership, reviewing technical documents and code changes.</li></ul><h3>Qualifications:</h3><ul><li>5+ years of experience with extensive experience in software engineering with a proven track record of shipping successful projects.</li><li>Experience with MySQL or other relational databases and working with microservices.</li><li>Excellent coding, testing, and system design skills.</li><li>Prior experience with cross functional collaboration, communication and project management skills.</li><li>Demonstrated leadership skills and the ability to mentor and guide junior engineers.</li><li>Ability to work with operations, product, design, and data science.</li></ul>Salary: $162,000.00 - $243,000.00 per yearTarget base salary for this role is between $162,000 and $243,000 per year. 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.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 accommodations@plaid.com.
#J-18808-Ljbffr

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. Responsibilities<ul><li>Design & Development: Design, develop and maintain both frontend and backend components.</li><li>Majority Backend Focus (60-70%): Develop APIs and services, focusing on scalability, security and performance.</li><li>Frontend Focus (30-40%): Build delightful experiences using modern JavaScript frameworks and libraries.</li><li>Collaboration: Work closely with product managers, product designers and other stakeholders to define and implement new features that meet product and customer needs.</li><li>Code Quality: Write clean, maintainable and efficient code.</li><li>Testing & Debugging: Develop automated tests to ensure the quality and reliability of the codebase. Troubleshoot and resolve issues.</li><li>Engage in hands-on coding and architectural design, setting and maintaining high technical standards for a high performing team.</li><li>Grow the team via mentorship and leadership, reviewing technical documents and code changes.</li></ul>Qualifications<ul><li>5+ years of experience with extensive experience in software engineering with a proven track record of shipping successful projects.</li><li>Experience with MySQL or other relational databases.</li><li>Experience working with microservices.</li><li>Working knowledge of HTML, CSS, Javascript and modern frameworks and libraries.</li><li>Excellent coding, testing skills, and system design skills. Proven experience with cross-functional collaboration, communication and project management skills.</li><li>Demonstrated leadership skills and the ability to mentor and guide junior engineers.</li><li>Experience partnering with operations, product, design, and data science.</li></ul> <div>$162,000 - $243,000 a year</div><div>Target base salary for this role is between $162,000 and $243,000 per year. 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.</div> 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 accommodations@plaid.com.Please review our Candidate Privacy Notice <a href="#">here</a>.
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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 Payment Risk team is responsible for developing a suite of risk products for Plaid’s customers to manage risk in bank payments. This team delivers sophisticated risk predictions as well as direct signals through public APIs that customers use to understand and manage risk on their payment flows.As a software engineer on the payment risk team, you will work on tooling and infrastructure that facilitates the development of our machine learning based risk models, from data and feature pipelines to model evaluation framework. You will also work on model serving infrastructure to support real time risk assessment based on large amounts of data at low latency. Your work will contribute to the rapid growth of an innovative product.Responsibilities<ul><li>Build products with real impact: your work will touch tens of millions of end-users, the best applications in FinTech, and major financial institutions</li><li>Develop tools and infrastructure for quick iteration on machine learning features and models</li><li>Passionate about applying Machine Learning to real-world problems, especially financial fraud</li><li>Technical leadership in engineering excellence and mentorship</li></ul>Qualifications<ul><li>4+ years of software engineering experience</li><li>Experience in building production infrastructure for machine learning feature engineering or model training, evaluating, and deploying</li><li>End-to-end process ownership and customer obsession</li></ul><div>$182,520 - $297,000 a year</div><div>Target base salary for this role is between $182,520 and $297,000 per year. 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.</div>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 accommodations@plaid.com.Please review our Candidate Privacy Notice<a href="#">here</a>.
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Data Engineering is a cornerstone of Plaid's data-focused vision, playing a pivotal role in fostering a data-driven culture and advancing our vision of delivering trustworthy, truly differentiated data products powered by the largest network of user financial profiles. To support our data-focused vision, we need to scale our data systems while maintaining correct and complete data. We provide golden datasets and tooling 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. In addition, Plaid will not be successful if we can't move quickly. We build the data systems and tools that enable everyone at Plaid to be data-driven, making analytics easy, obvious, and proactive across the company. Data Engineers heavily leverage SQL and Python to build data workflows that integrate with our Golang applications. We use tools like DBT, Airflow, Redshift, Atlan, and Retool to orchestrate data pipelines and define workflows. We work with data scientists, product analytics, business intelligence, software engineers, product managers, 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 and technical leaders 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. <h3>Responsibilities </h3><ul><li>Serving as the primary technical DRI, defining and executing the long-term technical roadmap to build and sustain a data-driven culture at Plaid. </li><li>Working closely with senior leadership and executives to shape Plaid’s data engineering strategy and roadmap, ensuring alignment with the company’s data-focused product goals and overall vision. </li><li>Deep understanding of Plaid's products and strategy in order to inform the design of Golden Datasets, set data usage principles, and ensure data is structured for maximum impact and usability. </li><li>Focus on delivering well-documented datasets with clearly defined quality metrics, uptime guarantees, and demonstrable usefulness. </li><li>Leading critical data engineering projects that foster collaboration across teams, driving innovation and efficiency throughout the company. </li><li>Mentoring engineers, operations, and data practitioners on best practices for data organization. </li><li>Advocating for the adoption of emerging industry tools and practices, evaluating their fit and implementing them at the right time to keep Plaid at the forefront of data engineering. </li><li>Owning core SQL and Python data pipelines that power our data lake and data warehouse, ensuring their reliability, scalability, and efficiency. </li><li>Upholding Plaid’s commitment to data quality and privacy, embedding these principles into every aspect of data work. </li> </ul> <h3>Qualifications </h3><ul><li>10+ years of experience in data engineering, with a proven track record of building scalable data systems and pipelines. </li><li>Experience working with massive datasets (500TB to petabytes) and developing robust data models and pipelines on top of them. </li><li>Lead major data modeling, schema design, and data architecture efforts in past roles. </li><li>Deep appreciation for schema design and the ability to evolve analytics schemas on top of unstructured data. </li><li>Advanced knowledge of SQL as a flexible, extensible tool and experience with modern orchestration tools like DBT, Mode, and Airflow. </li><li>Hands-on experience with performant data warehouses and lakes such as Redshift, Snowflake, and Databricks. </li><li>Building and maintaining both batch and real-time pipelines using technologies like Spark and Kafka. </li><li>Excited about exploring new technologies and building proof-of-concepts that balance technical innovation with user experience and adoption. </li><li>Enjoy getting into the technical details to manage, deploy, and optimize low-level data infrastructure. </li><li>Champion for data privacy and integrity, and always act in the best interest of consumers. </li> </ul> Target base salary for this role is between $204,120 and $360,000 per year. 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. #J-18808-Ljbffr

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 Payment Risk team is responsible for developing a suite of risk products for Plaid’s customers to manage risk in bank payments. This team delivers sophisticated risk predictions as well as direct signals through public APIs that customers use to understand and manage risk on their payment flows.As a software engineer on the payment risk team, you will work on tooling and infrastructure that facilitates the development of our machine learning based risk models, from data and feature pipelines to model evaluation framework. You will also work on model serving infrastructure to support real time risk assessment based on large amounts of data at low latency. Your work will contribute to the rapid growth of an innovative product.Responsibilities<ul><li>Build products with real impact: your work will touch tens of millions of end-users, the best applications in FinTech, and major financial institutions</li><li>Develop tools and infrastructure for quick iteration on machine learning features and models</li><li>Passionate about applying Machine Learning to real-world problems, especially financial fraud</li><li>Technical leadership in engineering excellence and mentorship</li></ul>Qualifications<ul><li>4+ years of software engineering experience</li><li>Experience in building production infrastructure for machine learning feature engineering or model training, evaluating, and deploying</li><li>End-to-end process ownership and customer obsession</li></ul>Target base salary for this role is between $182,520 and $297,000 per year. 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.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 accommodations@plaid.com.
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