Dexcom Data Engineer Interview Questions + Guide in 2025

Dexcom is a pioneering leader in continuous glucose monitoring, dedicated to transforming diabetes management and enhancing health outcomes through innovative technology.

As a Data Engineer at Dexcom, you will play a vital role within the Commercial Data Science department, focusing on building and optimizing a robust cloud-based data platform. Your responsibilities will include developing ETL solutions, automating data flows, and creating advanced analytics "as-a-service" solutions. The ideal candidate will possess full-stack experience in data collection, aggregation, analysis, and visualization, and will be adept at fostering cross-functional relationships to ensure data integrity. A strong background in SQL, cloud technologies (AWS/GCP), and big data engineering is essential, alongside excellent problem-solving skills and the ability to communicate effectively with various stakeholders. Your contributions will directly support Dexcom's mission to empower individuals with actionable health insights, in a fast-paced and collaborative environment.

This guide is designed to help you prepare thoroughly for your interview by highlighting the key skills and experiences that Dexcom values in a Data Engineer, giving you a competitive edge in the selection process.

The interview process for a Data Engineer position at Dexcom is designed to assess both technical skills and cultural fit within the organization. It typically consists of several stages, each focusing on different aspects of the candidate's qualifications and experiences.

1. Initial Screening

The process begins with an initial screening, which is usually conducted by a recruiter over the phone. This conversation lasts about 30 minutes and serves as an opportunity for the recruiter to gauge your interest in the role and the company. During this call, you will discuss your background, relevant experiences, and the specific skills you bring to the table, particularly in areas like ETL processes and data integration. The recruiter will also provide insights into the company culture and what it’s like to work at Dexcom.

2. Technical Interview

Following the initial screening, candidates typically participate in a technical interview. This interview may be conducted via video conferencing and focuses on assessing your technical expertise in data engineering. Expect to discuss your experience with SQL, data pipelines, and cloud technologies such as AWS or GCP. You may also be asked to solve problems or answer questions related to data transformation, optimization, and automation, showcasing your ability to handle complex data integration tasks.

3. Onsite Interviews

The final stage usually involves onsite interviews, which may be conducted virtually or in person, depending on the company's current practices. This stage typically consists of multiple rounds of interviews with various team members, including data engineers and managers. Each interview lasts approximately 45 minutes and covers a mix of technical and behavioral questions. You will be evaluated on your problem-solving skills, ability to work cross-functionally, and your approach to data-driven decision-making. Additionally, expect discussions around your past projects, collaboration with stakeholders, and how you ensure data integrity.

Throughout the interview process, candidates are encouraged to demonstrate their analytical skills, technical knowledge, and passion for improving health outcomes through innovative data solutions.

Now, let’s delve into the specific interview questions that candidates have encountered during their interviews at Dexcom.

Practice for the Dexcom Data Engineer interview with these recently asked interview questions.