What is a Data Engineer at Glassdoor?
A Data Engineer at Glassdoor plays a crucial role in transforming raw data into actionable insights that drive business decisions and enhance user experiences. This position is pivotal in ensuring that the organization has reliable access to high-quality data, which is essential for product development, user engagement, and operational efficiency. As a Data Engineer, you will work on various projects that may involve data warehousing, ETL processes, and database management, contributing to the overall success of Glassdoor's data strategy.
The impact of the Data Engineer role extends across multiple teams, including product, analytics, and engineering. You will collaborate with data scientists and analysts to create robust data pipelines, enabling them to focus on deriving insights rather than data collection. The complexity and scale of the data you will handle, along with the strategic influence your work has on the business, make this position both challenging and rewarding. Candidates should be prepared to engage with diverse datasets and utilize various technologies, contributing to Glassdoor's mission of helping people find jobs and companies they love.
Common Interview Questions
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Sign up freeAlready have an account? Sign inPractice questions from our question bank
Curated questions for Glassdoor from real interviews. Click any question to practice and review the answer.
Design a batch ETL pipeline that detects, imputes, and monitors missing values before loading analytics tables with daily SLA compliance.
Design a batch data pipeline with quality gates, quarantine handling, and monitored reprocessing for 120M finance records per day.
Design Terraform-based infrastructure as code for AWS data pipelines with reusable modules, secure state management, CI/CD, and drift control.
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Sign up freeAlready have an account? Sign inGetting Ready for Your Interviews
Preparation is key to a successful interview experience at Glassdoor. Familiarize yourself with the following evaluation criteria that interviewers will focus on during your discussions:
Role-related Knowledge – This criterion assesses your technical proficiency and understanding of data engineering principles. Interviewers will evaluate your expertise in technologies relevant to the position, such as SQL, data warehousing, and ETL processes. To demonstrate strength in this area, be ready to discuss specific projects and technologies you have worked with.
Problem-Solving Ability – Interviewers will be keen to understand how you approach challenges and structure your solutions. They will evaluate your analytical skills through case study questions or technical problems. To showcase your problem-solving ability, practice articulating your thought process and the steps you take to arrive at a solution.
Culture Fit / Values – Glassdoor values collaboration, transparency, and a user-centered approach. Interviewers will look for candidates who align with these values and can effectively communicate and work within teams. Demonstrate your fit by sharing examples of how you have contributed to team success and adapted to organizational cultures.
Interview Process Overview
The interview process at Glassdoor is designed to be thorough and supportive, reflecting the company's commitment to finding the right talent. Candidates can expect to engage in multiple rounds of interviews that typically begin with an initial phone screen with a recruiter. This is followed by one or more technical interviews focused on assessing your domain-specific knowledge and problem-solving skills.
Throughout the process, the company emphasizes collaboration and open communication. Interviewers often provide hints and guidance during technical assessments to create a welcoming environment. This approach not only helps candidates feel at ease but also reflects Glassdoor's commitment to fostering a positive candidate experience.




