L3Harris Technologies Data Engineer Interview Questions + Guide in 2025

L3Harris Technologies is a global aerospace and defense technology company that provides advanced communication, electronic, and software solutions to government and commercial customers.

The Data Engineer role at L3Harris is pivotal in managing the enterprise-level data life cycle processes. Key responsibilities include designing, building, and maintaining robust data pipelines to ensure reliable data flow across the organization. The Data Engineer will oversee ETL/ELT processes, maintain data frameworks, and ensure data quality standards are upheld. Proficiency in data tools such as Palantir Foundry and strong programming skills in languages like Python and SQL are essential for this position. A successful Data Engineer at L3Harris will also be adept at troubleshooting data synchronization issues, collaborating with cross-functional teams, and developing actionable insights through data visualization. Traits such as a strong analytical mindset, attention to detail, and effective communication skills are crucial for thriving in this role within the company's modern data platform.

This guide will equip you with insights into the expectations and skills required for the Data Engineer position, helping you stand out during your interview with L3Harris.

The interview process for a Data Engineer at L3Harris Technologies is structured to assess both technical and behavioral competencies, ensuring candidates are well-suited for the role and the company culture.

1. Initial Screening

The process typically begins with an initial phone screening conducted by a recruiter. This conversation lasts about 20-30 minutes and focuses on your resume, background, and general fit for the position. Expect to discuss your experience in data engineering, your understanding of data lifecycle processes, and your familiarity with relevant technologies.

2. Technical Interview

Following the initial screening, candidates usually participate in a technical interview. This may be conducted via video call and typically lasts about an hour. During this interview, you will be asked to demonstrate your knowledge of data engineering concepts, including ETL/ELT processes, data pipeline development, and data integration techniques. You may also be required to solve coding problems or answer questions related to programming languages such as Python, SQL, or C++.

3. Behavioral Interview

After the technical assessment, candidates often undergo a behavioral interview. This round may involve multiple interviewers, including team members and managers. The focus here is on your soft skills, teamwork, and problem-solving abilities. Expect questions about your past experiences, how you handle challenges, and your approach to collaboration within a team.

4. Panel Interview

In some cases, candidates may be invited to a panel interview, which includes several team members. This format allows interviewers to assess how you interact with different personalities and your ability to communicate effectively. Questions may cover both technical and behavioral aspects, and you may be asked to elaborate on specific projects listed on your resume.

5. Final Interview

The final stage of the interview process may involve a discussion with higher management or a lead engineer. This interview typically focuses on your long-term career goals, your alignment with the company’s mission, and your potential contributions to the team. It may also include a review of your technical skills and how they relate to the specific needs of the team.

Throughout the process, candidates are encouraged to ask questions about the company culture, team dynamics, and the technologies used in their projects.

Now, let’s delve into the specific interview questions that candidates have encountered during their interviews at L3Harris Technologies.

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

Understand the Role and Responsibilities

Before your interview, take the time to thoroughly understand the responsibilities of a Data Engineer at L3Harris Technologies. Familiarize yourself with the specifics of data lifecycle management, ETL/ELT processes, and the tools mentioned in the job description, such as Palantir Foundry and Azure Data Factory. Being able to discuss how your experience aligns with these responsibilities will demonstrate your preparedness and genuine interest in the role.

Prepare for Behavioral Questions

Expect a significant focus on behavioral questions during your interview. L3Harris values teamwork and collaboration, so be ready to share examples of how you've worked effectively in teams, managed conflicts, and demonstrated leadership. Use the STAR (Situation, Task, Action, Result) method to structure your responses, ensuring you highlight your contributions and the outcomes of your actions.

Brush Up on Technical Skills

Given the emphasis on SQL and algorithms in the role, ensure you are well-versed in these areas. Practice SQL queries, focusing on complex joins, window functions, and data manipulation techniques. Additionally, review algorithm concepts that are relevant to data processing and pipeline management. Be prepared to discuss your experience with data pipeline development and any specific projects where you utilized these skills.

Showcase Your Problem-Solving Abilities

During technical interviews, you may be asked to solve problems on the spot. Practice coding challenges that involve data manipulation and algorithm design. Be ready to explain your thought process as you work through these problems, as interviewers will be interested in how you approach challenges and arrive at solutions.

Familiarize Yourself with Company Culture

L3Harris places a strong emphasis on respect, dignity, and a collaborative work environment. Research the company’s values and mission to understand how they align with your own. During the interview, express your enthusiasm for contributing to a workplace that prioritizes teamwork and innovation. This will help you connect with your interviewers on a personal level.

Prepare Questions for Your Interviewers

At the end of your interview, you will likely have the opportunity to ask questions. Prepare thoughtful questions that demonstrate your interest in the role and the company. Inquire about the team dynamics, the challenges they face in data engineering, and how success is measured in the role. This not only shows your engagement but also helps you assess if the company is the right fit for you.

Follow Up Professionally

After your interview, send a thank-you email to express your appreciation for the opportunity to interview. Reiterate your interest in the position and briefly mention a key point from your conversation that reinforces your fit for the role. This small gesture can leave a positive impression and keep you top of mind as they make their decision.

By following these tips, you will be well-prepared to showcase your skills and fit for the Data Engineer role at L3Harris Technologies. Good luck!

In this section, we’ll review the various interview questions that might be asked during a Data Engineer interview at L3Harris Technologies. The interview process will likely assess both technical skills and behavioral attributes, focusing on your experience with data pipelines, ETL processes, and your ability to work collaboratively within a team. Be prepared to discuss your past projects, technical knowledge, and how you handle challenges in data engineering.

Technical Skills

1. Can you explain the difference between ETL and ELT?

Understanding the distinction between these two data processing methods is crucial for a Data Engineer, as it impacts how data is managed and utilized.

How to Answer

Discuss the processes involved in both ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform), emphasizing the scenarios in which each is preferable.

Example

“ETL involves extracting data from various sources, transforming it into a suitable format, and then loading it into a data warehouse. In contrast, ELT extracts data and loads it directly into the data warehouse, where transformation occurs. ELT is often more efficient for large datasets, especially in cloud environments where storage and processing power are scalable.”

2. Describe your experience with data pipeline development. What tools have you used?

This question assesses your hands-on experience with data pipeline tools and your ability to implement data solutions.

How to Answer

Mention specific tools you have used, such as Palantir Foundry, Azure Data Factory, or Python, and provide examples of projects where you developed data pipelines.

Example

“I have extensive experience with Azure Data Factory for building data pipelines. In my last project, I designed a pipeline that integrated data from multiple sources, ensuring data quality and consistency. I also utilized Palantir Foundry to manage data connections and streamline the ETL process.”

3. How do you ensure data quality in your pipelines?

Data quality is critical in data engineering, and interviewers want to know your strategies for maintaining it.

How to Answer

Discuss methods you use to validate data, monitor data quality, and implement data cleansing processes.

Example

“I implement data validation checks at various stages of the pipeline to ensure accuracy. Additionally, I use automated data profiling tools to monitor data quality continuously and set up alerts for any anomalies. Regular audits and data cleansing processes are also part of my strategy to maintain high data quality.”

4. What is your debugging process when you encounter issues in a data pipeline?

This question evaluates your problem-solving skills and technical troubleshooting abilities.

How to Answer

Outline your systematic approach to identifying and resolving issues, including tools and techniques you use.

Example

“When debugging a data pipeline, I first check the logs to identify where the failure occurred. I then isolate the problematic component, whether it’s a data source, transformation logic, or loading process. I use tools like Apache Airflow for monitoring and debugging, which helps me pinpoint issues quickly and efficiently.”

5. Can you explain what a data lake is and how it differs from a data warehouse?

Understanding the differences between these two data storage solutions is essential for a Data Engineer.

How to Answer

Define both terms and highlight their use cases and differences in structure and purpose.

Example

“A data lake is a centralized repository that allows you to store all your structured and unstructured data at any scale. In contrast, a data warehouse is designed for structured data and optimized for query performance. Data lakes are more flexible and can handle raw data, while data warehouses are used for analysis and reporting.”

Behavioral Questions

1. Describe a challenging project you worked on and how you overcame the obstacles.

This question assesses your resilience and problem-solving skills in a team environment.

How to Answer

Choose a specific project, outline the challenges faced, and explain the steps you took to overcome them.

Example

“In a recent project, we faced significant delays due to data integration issues from multiple sources. I organized a series of meetings with stakeholders to clarify requirements and re-evaluate our approach. By implementing a phased integration strategy, we were able to meet our deadlines while ensuring data quality.”

2. How do you prioritize tasks when managing multiple data projects?

This question evaluates your time management and organizational skills.

How to Answer

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

Example

“I prioritize tasks based on project deadlines and the impact on business objectives. I use project management tools like Jira to track progress and ensure transparency. Regular check-ins with my team help us stay aligned and adjust priorities as needed.”

3. How do you handle conflicts within a team?

This question assesses your interpersonal skills and ability to work collaboratively.

How to Answer

Provide an example of a conflict situation and how you resolved it, emphasizing communication and collaboration.

Example

“When conflicts arise, I believe in addressing them directly and constructively. In one instance, a disagreement over data modeling approaches led to tension within the team. I facilitated a meeting where each member could present their perspective, and we collaboratively reached a consensus that combined the best elements of both approaches.”

4. What motivates you to work in data engineering?

This question helps interviewers understand your passion and commitment to the field.

How to Answer

Share your enthusiasm for data engineering and how it aligns with your career goals.

Example

“I am motivated by the power of data to drive decision-making and innovation. The challenge of transforming raw data into actionable insights excites me, and I enjoy the continuous learning that comes with evolving technologies in data engineering.”

5. Why do you want to work for L3Harris Technologies?

This question assesses your interest in the company and its mission.

How to Answer

Research the company’s values and projects, and explain how they resonate with your career aspirations.

Example

“I admire L3Harris Technologies for its commitment to innovation and excellence in data solutions. The opportunity to work on projects that have a significant impact on national security and public safety aligns with my values and career goals, making this role particularly appealing to me.”