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About the Role

The Data Engineer's role is to integrate data from various sources into common data mesh domain models to support data and analytics activities. This technical role involves designing and implementing changes to the data lake data model and building scalable, efficient, and reliable processes for data population, transformation, and maintenance. 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.

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

Requirements

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

Experience Level

5 years of related experience
3 years of experience

Education Level

Bachelor’s degree
Master’s degree
PhD

Salary/Compensations

133,000 - 199,000 USD per year

Benefits

Quarterly bonuses
Restricted Stock Units (RSUs)
A Paid Time Off policy
Many region-specific benefits

About the Company

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)

Equal Opportunity

Indeed is deeply committed to building a workplace and global community where inclusion is not only valued, but prioritized.
We’re proud to be an equal opportunity employer, seeking to create a welcoming and diverse environment.
All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, family status, marital status, sexual orientation, national origin, genetics, neuro-diversity, disability, age, or veteran status, or any other non-merit based or legally protected grounds.
Indeed provides reasonable accommodations to qualified individuals with disabilities in the employment application process.
To request an accommodation, please visit https://www.indeed.com/careers/accommodations.
If you are requesting accommodation for an interview, please reach out at least one week in advance of your interview.
For more information about our commitment to equal opportunity/affirmative action, please visit our Careers page (https://www.indeed.com/careers).