Senior Data Engineer, Data Lakehouse Infrastructure
TRM LabsFull Time
Senior (5 to 8 years)
Key technologies and capabilities for this role
Common questions about this position
The target base salary ranges from $180,000 to $270,000 per year in Zone 1 (New York City and San Francisco Bay Area), varying based on location across geographic zones.
The salary varies by geographic zones based on location, with Zone 1 covering New York City and San Francisco Bay Area, but specific remote or office requirements are not detailed.
Candidates need 5+ years of software engineering experience, deep understanding of ML Infrastructure (like Feature Stores, Training Infrastructure) or Data Infrastructure (Data Warehouses, Data Lakehouses, Apache Spark, Streaming, Workflow Orchestration), strong cross-functional collaboration, communication, project management, proficiency in coding/testing/system design, and leadership in mentoring.
Plaid emphasizes a data-driven culture, scaling data systems for correct and complete data, providing tooling to engineering, product, and business teams for quick and safe data exploration to serve customers effectively.
A strong candidate has 5+ years of experience with a track record in Data Infrastructure or Platform at similar companies, deep expertise in ML or Data Infrastructure systems, proven cross-functional collaboration and leadership in mentoring, plus nice-to-haves like Databricks, Airflow, or AWS EMR.
Connects financial accounts to apps securely
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.