Senior Data Engineer - Data Engineering
AI summary of the role
Senior Data Engineer on Plaid's Data Engineering team, building golden datasets and internal data products that directly enable business leaders to make faster, more informed decisions.
What you’ll do
- Build robust golden data sets to power insights-based products and business goals.
- Scale data systems while maintaining correct and complete data.
- Provide tooling and guidance to teams across engineering, product, and business for quick and safe data exploration.
- Carve out ownership and scope of internal datasets and visualizations across Plaid, building SLAs on them.
What you’ll bring
- Heavy leverage of SQL and Python to build data workflows.
- Experience with DBT, Airflow, Redshift, ElasticSearch, Atlanta, and Retool.
- Motivated by creating impact for consumers and customers, growing together as a team, shipping the MVP, and leaving things better than found.
- IC-driven mindset with bottom-up ideation and empowerment.
Technologies
SQL · Python · DBT · Airflow · Redshift · ElasticSearch · Atlanta · Retool
About Plaid
API platform connecting consumer bank accounts to fintech apps; powers account linking, payments, identity, and fraud detection for thousands of fintechs and banks.
Private Late
Source and classification
Internal deployment & tooling · Evidence for this classification:
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,
More from the job description
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. 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 a [... source excerpt omitted ...] nce 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 a [... source excerpt omitted ...] ng 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 Platf
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