Data Engineer III

Indeed • Austin, TX

3d • $133,000 - $199,000

About The Position

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.

Requirements

• Requires a Bachelor’s degree, and a minimum of 5 years of related experience; or a Master’s degree with a minimum of 3 years of experience; or a PhD without experience
• Experience using AI-powered development tools (GitHub Copilot, ChatGPT, or similar) to accelerate code development, debugging, and documentation
• Extensive experience working with relational, SQL, and NoSQL databases
• Expertise in workflow orchestration and pipeline tools such as Airflow
• Expert-level understanding of data pipeline fundamentals, including performance tuning and large-scale data processing
• Deep understanding of data modeling fundamentals, including designing scalable analytical data models
• Experience improving data quality, reliability, and performance through automation and engineering best practices

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 solutions
• Providing documentation, technical guidance, training, and consulting for data warehouse users

Benefits

• quarterly bonuses
• Restricted Stock Units (RSUs)
• a Paid Time Off policy
• many region-specific benefits

What This Job Offers

• Job Type: Full-time
• Career Level: Senior