Senior Software Engineer, Data
FlexSalary not specified
- Full Time
- Senior (5 to 8 years)
$130,000 – $180,000Compensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
InternshipJob Type
UnknownVisa
Data Engineering, Software DevelopmentIndustries
Requirements
Candidates should possess at least two years of dedicated data engineering experience, solving complex data pipeline issues at scale, and experience building data models and data pipelines on top of large datasets (in the order of 500TB to petabytes). They should value SQL as a flexible and extensible tool and be comfortable with modern SQL data orchestration tools like DBT, Mode, and Airflow, and have experience working with different performant warehouses and data lakes such as Redshift, Snowflake, or Databricks.
Responsibilities
The Data Engineer will understand 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 datasets, advocate for adopting industry tools and practices, own core SQL and Python data pipelines that power our data lake and data warehouse, and provide well-documented data with defined dataset quality, uptime, and usefulness. They will collaborate with and have strong cross-functional partnerships with literally all teams at Plaid from Engineering to Product to Marketing/Finance etc.
Skills
SQL
Python
DBT
Mode
Airflow
Redshift
Snowflake
Databricks
Data Modeling
Data Pipelines
Data Warehousing
Data Lakes
Golden Dataset
Data Quality
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