Data Engineer - Data Engineering job opportunity at PLAID.



bot
PLAID Data Engineer - Data Engineering
Experience: 2 Years
Pattern: hybrid
apply Apply Now
Salary:
Status:

Engineering,Engineering

Copy Link Report
degreeBachelor's (B.Sc.)
loacation San Francisco, United States Of America
loacation San Francisco....United States Of America

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.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. 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. 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 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.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.\nResponsibilitiesUnderstanding 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 datasetsAdvocating for adopting industry tools and practices at the right timeOwning core SQL and Python data pipelines that power our data lake and data warehouseWell-documented data with defined dataset quality, uptime, and usefulness.Qualifications2+ years of dedicated data engineering experience, solving complex data pipeline issues at scale.You 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.[Nice to have] You have experience working with different performant warehouses and data lakes; Redshift, Snowflake, Databricks[Nice to have] You have experience building and maintaining batch and real-time pipelines using technologies like Spark, Kafka.\n$163,200 - $223,200 a yearThe target base salary for this position ranges from $163,200/year to $223,200/year in Zone 1. The target base salary will vary based on the job's location. Our geographic zones are as follows: Zone 1 - New York City and San Francisco Bay Area Zone 2 - Los Angeles, Seattle, Washington D.C.Zone 3 - Austin, Boston, Denver, Houston, Portland, Sacramento, San DiegoZone 4 - Raleigh-Durham and all other US citiesAdditional 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.\nOur 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.

Other Ai Matches

Senior Data Scientist - Data Foundations & AI Applicants are expected to have a solid experience in handling Engineering – Engineering related tasks
Account Executive - SMB Applicants are expected to have a solid experience in handling Sales – Sales related tasks
remote-jobserver Remote
Account Executive Leader - Fraud Applicants are expected to have a solid experience in handling Sales – Sales related tasks
Senior Software Engineer - Fullstack Applicants are expected to have a solid experience in handling Engineering – Engineering related tasks
Data Engineer - Data Engineering Applicants are expected to have a solid experience in handling Engineering – Engineering related tasks
Technical Account Manager - Enterprise Applicants are expected to have a solid experience in handling Professional Services – Professional Services related tasks
Experienced Engineering Manager - Customer Growth & Experience Applicants are expected to have a solid experience in handling Engineering – Engineering related tasks
GTM Strategy & Operations Lead, Incentives Applicants are expected to have a solid experience in handling GTM Operations – GTM Operations related tasks
Engineering Manager - Consumer Applicants are expected to have a solid experience in handling Engineering – Engineering related tasks
Motion Designer Applicants are expected to have a solid experience in handling Brand – Brand related tasks
Commercial Applicants are expected to have a solid experience in handling New Product GTM & Commercial – Commercial related tasks
Manager, Sales Development - Inbound Applicants are expected to have a solid experience in handling Sales – Sales related tasks
Engineering Manager - Credit Distribution Applicants are expected to have a solid experience in handling Engineering – Engineering related tasks
Product Manager - Financial Management Applicants are expected to have a solid experience in handling Product – Product related tasks
Account-Based Marketing Manager Applicants are expected to have a solid experience in handling Marketing – Marketing related tasks
Engineering Manager - Machine Learning Infrastructure Applicants are expected to have a solid experience in handling Engineering – Engineering related tasks
Executive Editorial Lead Applicants are expected to have a solid experience in handling Communications – Communications related tasks
Staff Product Manager - AI Foundations Applicants are expected to have a solid experience in handling Product – Product related tasks
remote-jobserver Remote
Account Executive - Named Enterprise - Public Sector Applicants are expected to have a solid experience in handling Sales – Sales related tasks
Sales Development Representative Applicants are expected to have a solid experience in handling Sales – Sales related tasks
Event Marketing Specialist Applicants are expected to have a solid experience in handling Marketing – Marketing related tasks
Senior Software Engineer - Fullstack Applicants are expected to have a solid experience in handling Engineering – Engineering related tasks
Partner Development Manager - Fintech Applicants are expected to have a solid experience in handling Partnerships – Partnerships related tasks