Experienced Data Engineer, Plaid
Data Engineering
$182.3-297k
1-5 days a week in office
Infrastructure and APIs for FinTech
Open for applications
Infrastructure and APIs for FinTech
1001+ employees
Open for applications
$182.3-297k
1-5 days a week in office
1001+ employees
Company mission
Plaid's mission is to unlock financial freedom for everyone.
Role
Who you are
- 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
- 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 realtime 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
What the job involves
- 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
- 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
- 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
- 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 datasetsLeading key data engineering projects that drive collaboration across the company
- Advocating for adopting industry tools and practices at the right timeOwning core SQL and python data pipelines that power our data lake and data warehouse
- Well-documented data with defined dataset quality, uptime, and usefulness
Our take
Plaid builds infrastructure that allows a consumer to interact with their bank account on the web through a number of third-party applications, like Venmo, Robinhood, Coinbase, Acorns and LendingClub.
Plaid has integrated with 12,000 financial institutions in the US, Canada, the UK and Europe. About a quarter of people living in North America with bank accounts have linked with Plaid through at least one of the hundreds of apps that leverage Plaid’s application program interfaces (APIs). The platform allows companies to create financial services applications without having to hire their own team of engineers to build out a tool that connects apps to its users’ bank accounts.
This is very valuable in a world where there are increasing number of fintechs, so the demand for Plaid's services are only going to grow. Despite its strong position, it has not been immune to the difficult global economic situtation and was forced to restructure at the end of 2022, laying off some of its workforce. However it is still experiencing growth and is well-positioned to weather the current economic uncertainty.
Steph
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 6 rounds)
Apr 2025
$575m
LATE VC
Apr 2021
$425m
SERIES D
Total funding: $1.3bn
Company benefits
- Monthly wellness stipend (gym on us)
- We offer breakfast, lunch, and dinner to keep you well-fed and healthy (when working from the office)
- From medical, life, dental and pension schemes, we’re here to support your physical, mental, and financial wellbeing
- We want everyone to feel ownership over their work - literally, which is why we offer equity to full-time Plaids
- Every Plaid is in control of their career development with our learning stipends, tools, and trainings
- We give Plaids the freedom and flexibility to choose where they work - whether that is in a Plaid office, at home in any supported location, or a mix of both!
- Two weeks of synchronous, company-wide vacation
- We want to make sure you have time to meet your personal needs with unlimited PTO
Company HQ
SoMa, San Francisco, CA
Leadership
Zach Perret
(CEO)He was a Consultant at Bain and previously a Research Fellow and Trustee at Duke before co-founding Plaid
William Hockey
(Board Director)He was previously an associate at Bain and has since moved on from Plaid to become Co-CEO at Column
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