Exelon Data Engineer Interview Questions + Guide in 2025

Exelon is a leading energy provider committed to powering a cleaner and brighter future through innovative solutions and services that strengthen communities and enhance resilience.

As a Data Engineer at Exelon, your primary responsibility will be to lead data requirements gathering sessions and oversee the design and implementation of the Enterprise Asset Management (EAM) platform. You will collaborate closely with business stakeholders and project teams to document and analyze data requirements, ensuring alignment with business objectives. Key responsibilities include leading a team of data engineers, managing project activities from planning to execution, and ensuring the delivery of high-quality solutions that meet technical standards. Strong technical skills in SQL, data modeling, and a solid understanding of IT project management practices will be crucial in this role.

Ideal candidates will possess excellent communication and facilitation skills, with a proactive approach to team collaboration and conflict resolution. A background in computer science or a related field, along with experience in leading small IT projects, will set you apart as a suitable candidate for this role.

Preparing for your interview with this guide will enhance your understanding of the expectations for a Data Engineer at Exelon, allowing you to effectively articulate your experiences and how they align with the company's mission and values.

The interview process for a Data Engineer position at Exelon is structured to assess both technical and behavioral competencies, ensuring candidates align with the company's values and project requirements. The process typically unfolds in several stages:

1. Initial Screening

The first step involves a brief phone interview with a recruiter. This conversation usually lasts around 15-30 minutes and focuses on your background, experience, and motivation for applying to Exelon. The recruiter will also gauge your fit for the company culture and discuss the role's expectations.

2. Behavioral Interview

Following the initial screening, candidates typically participate in a behavioral interview, which may be conducted by a panel or a single interviewer. This stage emphasizes the STAR (Situation, Task, Action, Result) method, where you will be asked to provide detailed examples from your past experiences. Expect questions that explore your problem-solving abilities, teamwork, conflict resolution, and how you handle changing priorities. This interview usually lasts about 45 minutes to an hour.

3. Technical Assessment

In some cases, candidates may undergo a technical assessment, which could be a separate interview or integrated into the behavioral interview. This assessment focuses on your technical skills relevant to data engineering, including SQL proficiency, data modeling, and familiarity with data integration tools. You may be asked to solve problems or discuss your approach to data-related challenges.

4. Final Interview

The final stage often involves a more in-depth interview with hiring managers or team leads. This interview may cover both behavioral and technical aspects, allowing you to demonstrate your understanding of the role and how you can contribute to the team. You may also discuss your experience with specific tools and methodologies relevant to the position, such as Agile or Scrum.

5. Offer and Background Check

If you successfully navigate the interview stages, you will receive an offer. The process may include a background check, which can take a few weeks. Throughout the process, communication from the company is generally timely and informative.

As you prepare for your interview, consider the types of questions you might encounter, particularly those that focus on your past experiences and technical expertise.

Here are some tips to help you excel in your interview.

Embrace the STAR Method

Exelon interviews heavily utilize the STAR method (Situation, Task, Action, Result) for behavioral questions. Prepare specific examples from your past experiences that highlight your problem-solving skills, teamwork, and conflict resolution abilities. Practice articulating these examples clearly and concisely, ensuring you cover all aspects of the STAR framework. This will not only help you answer questions effectively but also demonstrate your structured thinking.

Showcase Your Collaborative Spirit

Given Exelon's emphasis on teamwork and collaboration, be prepared to discuss your experiences working in diverse teams. Highlight instances where you successfully navigated disagreements or differing priorities, as these are common themes in the interview process. Show that you value diverse perspectives and can foster an inclusive environment, aligning with the company's commitment to diversity, equity, and inclusion (DEI).

Prepare for Technical and Behavioral Questions

While the focus is on behavioral questions, be ready to discuss your technical expertise, particularly in data engineering. Familiarize yourself with relevant tools and methodologies, such as SQL, data modeling, and project management practices. You may be asked about your experience with data integrations and transformations, so be prepared to discuss specific projects or challenges you've faced in these areas.

Understand the Company Culture

Exelon values safety, innovation, integrity, and community service. Research the company's recent initiatives and projects to understand how they align with these values. During the interview, express your enthusiasm for contributing to Exelon's mission of powering a cleaner, brighter future. This will demonstrate your alignment with the company's goals and culture.

Be Authentic and Engaging

Interviews at Exelon are described as conversational and friendly. Approach the interview with a genuine attitude, allowing your personality to shine through. Engage with your interviewers by asking insightful questions about the team, projects, and company culture. This not only shows your interest but also helps you assess if Exelon is the right fit for you.

Follow Up Thoughtfully

After the interview, send a thank-you note to express your appreciation for the opportunity to interview. Mention specific points from the conversation that resonated with you, reinforcing your interest in the role and the company. This thoughtful gesture can leave a positive impression and keep you top of mind as they make their decision.

By following these tips, you'll be well-prepared to showcase your skills and fit for the Data Engineer role at Exelon. Good luck!

In this section, we’ll review the various interview questions that might be asked during a Data Engineer interview at Exelon. The interview process will likely focus on your technical skills, problem-solving abilities, and how well you fit into the company culture. Expect a mix of behavioral and situational questions, often framed using the STAR method (Situation, Task, Action, Result).

Behavioral Questions

1. Describe a time when you had to manage a conflict within a team.

This question aims to assess your conflict resolution skills and ability to work collaboratively.

How to Answer

Use the STAR method to outline the situation, the task at hand, the actions you took to resolve the conflict, and the results of your actions.

Example

“In a project where team members had differing opinions on the approach, I facilitated a meeting to allow everyone to voice their concerns. I encouraged open dialogue and helped the team reach a consensus on a hybrid approach that incorporated elements from both sides, which ultimately led to a successful project outcome.”

2. Tell us about a time when your plan changed unexpectedly.

This question evaluates your adaptability and problem-solving skills.

How to Answer

Describe the situation, the original plan, what caused the change, and how you adapted to the new circumstances.

Example

“During a data migration project, we discovered that the source data was not as clean as expected. I quickly reassessed our timeline and collaborated with the team to implement a data cleansing process, which allowed us to stay on track and meet our deadlines.”

3. Can you give an example of a time you contributed to diversity, equity, and inclusion (DEI) in your workplace?

Exelon values DEI, and they want to see how you can contribute to this culture.

How to Answer

Share a specific instance where you actively promoted DEI, focusing on the actions you took and the impact it had.

Example

“I initiated a mentorship program aimed at underrepresented groups in our department. By pairing junior employees with experienced mentors, we fostered an inclusive environment that encouraged diverse perspectives, which improved team collaboration and innovation.”

4. Describe a situation where you had to lead a team.

This question assesses your leadership skills and ability to manage a team effectively.

How to Answer

Outline the context of the project, your role as a leader, the challenges faced, and the outcomes achieved.

Example

“I led a team of data engineers on a project to implement a new data warehouse. I organized regular check-ins to ensure everyone was aligned, delegated tasks based on individual strengths, and provided support when challenges arose. The project was completed ahead of schedule and under budget.”

5. How do you handle a difficult situation with a team member?

This question evaluates your interpersonal skills and ability to maintain a positive team dynamic.

How to Answer

Discuss a specific instance where you faced a challenge with a colleague and how you resolved it.

Example

“I once worked with a colleague who was consistently missing deadlines. I scheduled a one-on-one meeting to understand their challenges and discovered they were overwhelmed with their workload. We worked together to redistribute tasks, which improved their performance and our team’s overall productivity.”

Technical Questions

1. What is your experience with SQL, and can you describe a complex query you have written?

This question assesses your technical proficiency with SQL, which is crucial for a Data Engineer role.

How to Answer

Provide a brief overview of your SQL experience and describe a specific complex query, including its purpose and outcome.

Example

“I have extensive experience with SQL, particularly in data extraction and transformation. One complex query I wrote involved multiple joins and subqueries to aggregate sales data from different regions, which helped the management team identify trends and make informed decisions.”

2. Describe your experience with data modeling and how you approach it.

This question evaluates your understanding of data modeling principles and practices.

How to Answer

Discuss your approach to data modeling, including any tools or methodologies you use.

Example

“I approach data modeling by first understanding the business requirements and the data sources involved. I typically use ER diagrams to visualize relationships and ensure that the model supports the necessary queries and reporting needs. I have experience with tools like ERwin and Microsoft Visio for this purpose.”

3. Can you explain the difference between structured and unstructured data?

This question tests your foundational knowledge of data types.

How to Answer

Clearly define both types of data and provide examples of each.

Example

“Structured data is highly organized and easily searchable, typically stored in relational databases, such as customer records. Unstructured data, on the other hand, lacks a predefined format, like emails or social media posts, making it more challenging to analyze but rich in insights.”

4. How do you ensure data quality in your projects?

This question assesses your understanding of data quality principles and practices.

How to Answer

Discuss the methods and tools you use to maintain data quality throughout the data lifecycle.

Example

“I ensure data quality by implementing validation checks during data entry, conducting regular audits, and using tools like Talend for data cleansing. Additionally, I collaborate with stakeholders to define data quality metrics and continuously monitor them.”

5. Describe a time when you had to work with a remote project team.

This question evaluates your ability to collaborate effectively in a remote environment.

How to Answer

Share your experience working with remote teams, focusing on communication strategies and tools used.

Example

“I worked on a project with a remote team spread across different time zones. To facilitate collaboration, we used tools like Slack for real-time communication and Trello for task management. I scheduled regular video calls to ensure everyone was aligned and to foster team cohesion.”