at Indeed in Boise, Idaho, United States Job Description Our Mission As the world's number 1 job site

•, our mission is to help people get jobs. We strive to cultivate an inclusive and accessible workplace where all people feel comfortable being themselves. We're looking to grow our teams with more people who share our enthusiasm for innovation and creating the best experience for job seekers. (

•Comscore, Total Visits, March 2026) Day to Day The Data Engineer's role at Indeed is to integrate data from a variety of internal and external sources into common data mesh domain models in order to support data and analytics activities across Indeed's global business functions. This is a technical role that involves designing and implementing changes to the data lake data model and building scalable, efficient, and reliable processes to populate, transform, and maintain data lake data. You will apply advanced data processing and data modeling expertise in a "big data" environment, contributing to architectural decisions, improving engineering practices, and developing trusted, high-quality data pipelines. This work directly contributes to our mission of helping people get jobs by providing insight into the global job market and supporting product innovation that makes it easier for job seekers and employers to find each other. Responsibilities

+ Designing and implementing reliable, scalable, and efficient data pipelines (ETLs) to integrate data from a variety of sources into Indeed's data lake and cloud data warehouse

+ Designing, implementing, and optimizing data models and data transformations that align with warehouse standards and support evolving business needs across cloud-based, distributed data processing systems

+ Developing and maintaining code-based data pipelines capable of handling millions of events per day while improving the performance, reliability, and maintainability of data pipelines and data infrastructure

+ Analyzing and resolving system performance issues through query tuning, data model revisions, and other optimization techniques, while implementing automated testing to help enforce data quality standards

+ Leading or contributing to continuous improvements in development standards, processes, tooling, and AI-assisted development practices to improve code quality, development velocity, and documentation

+ Collaborating with engineering, product leadership, partner teams, and vendors to define project scope, evaluate technologies, and provide technical guidance for data solu To view full details and how to apply, please login or create a Job Seeker account