Elevance Health Data Engineer Interview Questions + Guide in 2025

Elevance Health is a Fortune 25 company dedicated to improving lives and communities through innovative healthcare solutions.

The Data Engineer role at Elevance Health focuses on developing, implementing, and maintaining robust data systems and pipelines that support strategic business decisions. Key responsibilities include designing and optimizing data architectures, ensuring data integrity and security, and collaborating with cross-functional teams to deliver actionable insights. The ideal candidate will possess a strong foundation in SQL and Python, alongside extensive experience with cloud platforms like AWS or GCP, and data warehousing technologies such as Snowflake. In this position, you will be expected to contribute to data governance frameworks and troubleshoot data-related issues effectively.

To excel in this role, candidates should demonstrate analytical thinking, effective communication skills, and a strong work ethic, aligning with Elevance Health's commitment to creating a culture of growth and impact. This guide will help you prepare for interviews by offering insights into the expectations for the role, key skills to highlight, and the company's values, ultimately giving you a competitive edge.

The interview process for a Data Engineer at Elevance Health is structured to assess both technical skills and cultural fit within the organization. Candidates can expect a multi-step process that includes several rounds of interviews, each focusing on different aspects of the role.

1. Initial Screening

The first step typically involves a brief phone interview with a recruiter. This conversation is designed to gauge your interest in the position and to discuss your background, skills, and experiences relevant to the Data Engineer role. The recruiter may also touch on your understanding of Elevance Health's mission and values, as well as your availability and salary expectations.

2. Technical Interview

Following the initial screening, candidates usually participate in a technical interview. This round may be conducted via video call and focuses on assessing your technical proficiency in key areas such as SQL, Python, and data engineering concepts. You may be asked to solve coding problems or discuss your experience with data pipelines, ETL processes, and cloud technologies like AWS or GCP. Be prepared to demonstrate your problem-solving skills and your ability to write complex SQL queries or Python scripts.

3. Behavioral Interview

The next stage often involves a behavioral interview with hiring managers or team leads. This round is more conversational and aims to understand how you approach challenges, work within a team, and align with Elevance Health's culture. Expect questions that explore your past experiences, how you handle pressure, and your ability to collaborate with cross-functional teams. This is also an opportunity for you to ask questions about the team dynamics and the projects you would be involved in.

4. Final Interview

The final interview may include a panel of interviewers, which could consist of senior management or other stakeholders. This round typically covers both technical and strategic aspects of the role, including discussions about your vision for data engineering within the company and how you would contribute to Elevance Health's goals. You may also be asked to present a case study or a project you have worked on, showcasing your analytical and technical skills.

5. Offer and Negotiation

If you successfully navigate the interview rounds, you will receive an offer. This stage may involve discussions about salary, benefits, and other employment terms. Be prepared to negotiate based on your experience and the market standards.

As you prepare for your interviews, consider the specific skills and experiences that Elevance Health values in a Data Engineer, particularly in SQL, Python, and data analytics. Now, let's delve into the types of questions you might encounter during the interview process.

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