Plaid

Experienced Data Engineer - Data Engineering

San Francisco, California, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Data & Analytics, Fintech, Enterprise SoftwareIndustries

Requirements

Candidates should possess a Bachelor's degree in Computer Science, Engineering, or a related field, and have at least 5 years of experience in data engineering, with a strong understanding of data warehousing concepts and data modeling. Proficiency in SQL and Python is required, along with experience working with data pipeline tools such as DBT, Airflow, Redshift, ElasticSearch, Atlanta, and Retool. Familiarity with data governance and data quality principles is also desired.

Responsibilities

The Experienced Data Engineer will be responsible for building robust golden data sets to support Plaid’s business goals, leveraging SQL and Python to design and implement data workflows, and collaborating with various teams including engineering, product, and business intelligence to build Plaid’s data strategy. They will also lead key data engineering projects, ensuring data quality and performance, and have the opportunity to carve out ownership and scope of internal datasets and visualizations, establishing SLAs and contributing to a data-first mindset across the organization.

Skills

SQL

Python

Redshift

DBT

Airflow

Data Modeling

ElasticSearch

Retool

Data Warehousing

Data Pipelines

Data Visualization

Plaid

Connects financial accounts to apps securely

About Plaid

Plaid simplifies financial data management for individuals and businesses by connecting various financial accounts to apps and services. Its main product is a set of APIs that allow developers to integrate financial data into their applications, enabling users to track spending, initiate payments, and access financial services all in one place. Plaid serves a wide range of clients, including app developers and financial institutions, and is used by popular apps like LendingTree and Square. Unlike many competitors, Plaid focuses on providing a comprehensive and scalable platform that supports various financial use cases, such as transactions and identity verification. The company's goal is to enhance the way users interact with their financial data, making it easier and more secure.

Key Metrics

San Francisco, CaliforniaHeadquarters

2013Year Founded

$714.3MTotal Funding

SERIES_DCompany Stage

Fintech, Financial ServicesIndustries

1,001-5,000Employees

Benefits

We've got you covered: From medical, life, and 401ks, we’re here to support your physical, mental, and financial wellbeing.

Everyone is an owner: We want everyone to feel ownership over their work - literally, which is why we offer equity to full-time Plaids.

Vacation your way: We want to make sure you have time to meet your personal needs with unlimited PTO and two weeks of synchronous, company-wide vacation.

Grow your skills: Every Plaid is in control of their career development with our learning stipends, tools, and trainings.

Risks

Increased competition from API-based banking solutions like FIS's Code Connect platform.

Potential legal challenges, such as PNC's lawsuit over trademark issues.

Demand for enhanced transparency and security in financial data sharing.

Differentiation

Plaid offers seamless financial data integration through robust APIs for diverse clients.

Plaid's Pay by Bank for Bill Pay provides a cost-effective recurring payment solution.

Plaid's strategic partnerships enhance its value proposition in payroll and payment sectors.

Upsides

Plaid's expansion into the Triangle area indicates growth and increased hiring potential.

Partnership with Dwolla enhances Plaid's presence in the secure payments sector.

Collaboration with Ansa expands market reach through pay-by-bank capabilities for merchants.

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