Level

Plaid

Staff Software Engineer - Data Infrastructure

Plaid is hiring a Staff Software Engineer - Data Infrastructure for a remote role open to applicants in United States. It pays $208k-$274k a year and Level rates it ; you can apply on Plaid.

Level's read on this job

  • On Level's scale, this software engineer role is Little AI ●○○○: aI is not part of the work.
  • Pay on this posting starts 23% higher than the typical software engineer posting on Level.
  • This is listed as a remote role.
  • The posting mentions Databricks, Spark and Data Warehouse among its tools and skills.
  • Plaid has 134 other open roles on Level.

AI in this role

Scales data infrastructure, pipelines, and data warehouse systems to support data-driven and machine learning iteration at Plaid.

databrickssparkdata-warehousedata-lakehouse

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, Seattle, Washington D.C., Raleigh, London, and Amsterdam.

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.

Engineers on Data Infrastructure are domain experts in Data Warehouse, Data Lakehouse, Spark, Workflow Orchestration, and Streaming technologies. We scale our existing data pipelines in a performant and cost efficient way while creating the necessary abstractions to make developing on top of this platform extremely simple for other engineers at Plaid.

Responsibilities

  • Contribute towards the long-term technical roadmap for data-driven and machine learning iteration at Plaid

  • Leading key data infrastructure projects such as improving ML development golden paths, implementing offline streaming solutions for data freshness, building net new ETL pipeline infrastructure, and evolving data warehouse or data lakehouse capabilities.

  • Working with stakeholders in other teams and functions to define technical roadmaps for key backend systems and abstractions across Plaid.

  • Debugging, troubleshooting, and reducing operational burden for our Data Platform.

  • Growing the team via mentorship and leadership, reviewing technical documents and code changes.

Qualifications

  • 6+ years of software engineering experience

  • Extensive hands-on software engineering experience, with a strong track record of delivering successful projects within the Data Infrastructure or Platform domain at similar or larger companies.

  • Deep understanding of one of the below:

    • Data Infrastructure systems, including Data Warehouses, Data Lakehouses, Apache Spark, Streaming Infrastructure, Workflow Orchestration.

  • Strong cross-functional collaboration, communication, and project management skills, with proven ability to coordinate effectively.

  • Proficiency in coding, testing, and system design, ensuring reliable and scalable solutions.

  • Demonstrated leadership abilities, including experience mentoring and guiding junior engineers.

  • Experience with Python

  • Nice-to-Have:

    • Experience with Databricks

    • Experience with Airflow

    • Experience with AWS EMR

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.

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.

How we rate this

Staff Software Engineer - Data Infrastructure at Plaid rates 30 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

DatabricksSparkData WarehouseData Lakehouse

Also common in software engineer jobs at this level

Pay

This job starts at
$208k
Typical software engineer job
$168k

This posting starts 23% above the typical software engineer job. See software engineer jobs

Questions you could be asked

  1. What's a project where you used Databricks hands-on?
  2. Walk me through how you've used Spark in your day-to-day work.
  3. What are the limits of Data Warehouse that you've run into, and how did you work around them?
  4. What's a project where you used Data Lakehouse hands-on?

Adapt your resume

  • List these exact terms on your resume: Databricks, Spark, Data Warehouse, and Data Lakehouse. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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