Marketing Data Engineer
Timescale- Full Time
- Mid-level (3 to 4 years), Senior (5 to 8 years)
Candidates should possess at least four years of experience in designing and building data sets and warehouses, demonstrating a strong understanding of data architecture and data modeling principles. They should also have excellent ability to understand the needs of stakeholders across various functions, particularly Analytics, and identify opportunities for process improvements within teams.
The Senior Data Engineer will collaboratively refine and evangelize a framework for integrating data-thinking into the software development lifecycle for marketing, design and maintain core marketing datasets, data marts, and feature stores, integrate with product engineers, analysts, data scientists, and machine learning engineers to understand their data needs, drive data quality and best practices across marketing and business areas, and help build the next generation of marketing data products at Thumbtack based on real-time data products on top of Apache Kafka.
Online marketplace connecting consumers with local professionals
Thumbtack connects consumers with local professionals for various services through its online marketplace. Users can find professionals like plumbers, electricians, and landscapers by searching the platform, comparing prices, reading reviews, and booking services directly. The platform offers cost estimates based on numerous bids from professionals, helping consumers understand potential service costs. Thumbtack generates revenue by charging professionals for leads, which are inquiries made by customers through the site. This model allows Thumbtack to serve a wide range of customers across the U.S., making it easier for them to find and hire local service providers.