Software Engineer - Data Infrastructure
Remote
Plaid Inc.
Plaid helps companies build fintech solutions by making it easy, safe and reliable for people to connect their financial data to apps and services.
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, Salt Lake City, Washington D.C., London and Amsterdam. #LI-Remote
At Plaid, we believe that the way consumers and businesses interact with their finances will drastically improve in the next few years. Our goal is to build the tools and infrastructure for developers to create this next generation of financial services applications. Today, hundreds of companies such as Venmo, Square, and Coinbase rely on Plaid to integrate with banks and the financial system.
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. In addition, Plaid will not be successful if we can't move quickly. We build the data and machine learning infrastructure to enable Plaid engineers to prototype and iterate on products and features built on top of consumer-permissioned financial data.
Engineers on the Data Infrastructure team work on Infrastructures that power all Plaid data use cases. We work in Python, Golang, and Typescript. Our systems are built on top of Docker, Kubernetes, Spark, Presto, S3, Airflow and Kafka.
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.
At Plaid, we believe that the way consumers and businesses interact with their finances will drastically improve in the next few years. Our goal is to build the tools and infrastructure for developers to create this next generation of financial services applications. Today, hundreds of companies such as Venmo, Square, and Coinbase rely on Plaid to integrate with banks and the financial system.
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. In addition, Plaid will not be successful if we can't move quickly. We build the data and machine learning infrastructure to enable Plaid engineers to prototype and iterate on products and features built on top of consumer-permissioned financial data.
Engineers on the Data Infrastructure team work on Infrastructures that power all Plaid data use cases. We work in Python, Golang, and Typescript. Our systems are built on top of Docker, Kubernetes, Spark, Presto, S3, Airflow and Kafka.
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.
What excites you
- Working on most cutting edge technology on Data Infra stacks, including Compute, Lakehouse, Streaming, Orchestration and etc.
- Leading key data infrastructure projects across multiple work streams
- Working with stakeholders in other teams and functions to define technical roadmaps for key backend systems and abstractions across Plaid
- Mentoring other engineers into senior roles and establishing a culture of technical excellence
What excites us
- Deep industry experience laying the technical foundations for top-tier teams
- Production experience building out data systems that make it a breeze to ingest, process, and analyze terabytes of data
- Empathy and enthusiasm for understanding other teams’ challenges and the ability to influence them towards the right technical path for the organization
- Knowledge of Spark, Hadoop, Airflow, or other data infrastructure tools
- A good understanding of core ML principles and a solid understanding of statistics and CS theoryBachelor's degree or equivalent work experience in Computer Science, Engineering, or a closely related field
Tags: Airflow Computer Science Docker Engineering Golang Hadoop Kafka Kubernetes Machine Learning ML infrastructure Python Spark Statistics Streaming TypeScript
Region:
Remote/Anywhere
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Category:
Engineering Jobs
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