Software Engineering Manager- Data Engineering

Remote

Applications have closed

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.

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We believe 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 infrastructure developers need 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 and 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 11,000 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.
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.
As an engineering manager for the Data Engineering team, you’ll lead a rapidly growing team of  engineers. The team works in partnership with a variety of teams such as Data Infrastructure, Product Teams, Infrastructure teams to enable high quality datasets and power better analytics and reporting.

Whats excites you

  • Defining the long-term technical roadmap for a scalable, reliable and data engineering
  • Enabling product and business opportunities by building a strong technical foundation
  • Recruiting and growing an incredible team of engineers who have high expectations around craft, ownership and impact
  • Fostering a collaborative culture that embodies our principles and empowers users 
  • Mentoring and developing your team of engineers, helping them identify opportunities to take risks and fail fast

What excites us

  • 2+ years of engineering management experience with significant experience as a software engineer
  • A record of fostering functional teams and providing engineers with meaningful opportunities for growth
  • Technical experience with one or more: data engineering, ETL, pipelines, etc.
  • Ability to coordinate cross-team efforts and prioritize based on impact
  • Excitement and a thoughtful approach on recruiting
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.

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Engineering ETL Pipelines

Perks/benefits: Startup environment

Region: Remote/Anywhere
Job stats:  3  1  0

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