Ameritas Data Engineer Interview Questions + Guide in 2025

Ameritas is dedicated to fulfilling lives by providing trusted financial products and services that help individuals and organizations achieve security and well-being.

The Data Engineer role at Ameritas is pivotal in enhancing the company's Investment Data & Analytics ecosystem. This position requires a deep understanding of data development and operational processes, including the design and maintenance of data flows, data quality checks, and the implementation of internal process improvements. A successful Data Engineer will work closely with investment teams, showcasing strong communication skills to effectively collaborate with stakeholders while leveraging technologies such as SQL, Python, and data automation tools. This role also demands a foundational knowledge of statistical concepts and a desire to learn and adopt new technologies, aligning with Ameritas's mission of fostering growth and development in both employees and clients.

Preparing for an interview for this role will equip you with insights into key responsibilities, required skills, and the company's values that drive its operations, ultimately giving you an edge in showcasing your fit for the position.

The interview process for a Data Engineer role at Ameritas is structured to assess both technical skills and cultural fit within the organization. Candidates can expect a multi-step process that includes various types of interviews designed to evaluate their analytical abilities, problem-solving skills, and communication proficiency.

1. Initial Screening

The first step in the interview process is a 30-minute phone call with a recruiter. This initial screening focuses on understanding your background, skills, and motivations for applying to Ameritas. The recruiter will also provide insights into the company culture and the specifics of the Data Engineer role, ensuring that candidates have a clear understanding of what to expect.

2. Video Response Round

Following the initial screening, candidates will participate in a virtual round where they are required to submit video responses to a series of basic questions. This round is designed to assess your ability to communicate effectively and articulate your thoughts under time constraints. It serves as an opportunity for candidates to showcase their personality and enthusiasm for the role.

3. Technical Interview

The next stage involves a video conferencing interview that focuses on foundational concepts in statistics, data modeling, and case studies relevant to the Data Engineer position. Candidates should be prepared to answer technical questions and engage in discussions about their previous projects and experiences. This round may also include some HR-related questions to gauge cultural fit.

4. Case Study Presentation

The final round consists of a case study that candidates must solve and present to a panel. This round is comprehensive and tests analytical skills, coding knowledge, and presentation abilities. Candidates will be required to submit a PowerPoint presentation detailing their solution, followed by a Q&A session where panel members will ask in-depth questions about the approach taken and the rationale behind it. This stage emphasizes the importance of clear communication and the ability to defend one’s work in a collaborative environment.

As you prepare for the interview process, it’s essential to familiarize yourself with the types of questions that may be asked during each stage.

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

Understand the Interview Structure

Familiarize yourself with the multi-stage interview process at Ameritas. Expect an initial HR screening followed by a series of rounds that may include video responses, technical assessments, and case studies. Prepare to articulate your past projects clearly, as discussing your experiences will be crucial. Practice answering common behavioral questions and be ready to showcase your analytical skills through case studies.

Hone Your Technical Skills

As a Data Engineer, you will need a solid grasp of SQL, Python, and data management concepts. Brush up on your knowledge of ETL processes, data quality checks, and statistical concepts. Be prepared to answer technical questions that may involve coding or statistical modeling. Familiarize yourself with tools like R, AWS, and any other technologies mentioned in the job description, as these may come up during technical assessments.

Emphasize Communication Skills

Given the role's emphasis on stakeholder interaction, strong communication skills are essential. Practice explaining complex technical concepts in simple terms, as you may need to present your findings to non-technical team members. Be prepared to discuss how you have effectively collaborated with others in past projects, highlighting your ability to work in a team-oriented environment.

Showcase Your Problem-Solving Abilities

During the case study portion of the interview, focus on demonstrating your analytical thinking and problem-solving skills. Approach problems methodically, and be prepared to discuss your thought process. Use examples from your past experiences to illustrate how you have identified issues and implemented solutions, particularly in data management or analysis contexts.

Align with Company Values

Ameritas places a strong emphasis on its mission of "Fulfilling Life." Research the company’s values and culture, and think about how your personal values align with theirs. Be ready to discuss how you can contribute to their mission through your work as a Data Engineer. This alignment will not only help you stand out but also demonstrate your genuine interest in the company.

Prepare for Behavioral Questions

Expect behavioral questions that assess your teamwork, adaptability, and conflict resolution skills. Use the STAR (Situation, Task, Action, Result) method to structure your responses. Reflect on past experiences where you faced challenges and how you overcame them, particularly in collaborative settings.

Practice Presentation Skills

Since the interview may involve presenting your case study solution, practice your presentation skills. Focus on clarity, conciseness, and engaging your audience. Be prepared for follow-up questions and critiques, as the interviewers will likely assess your ability to defend your ideas and respond to feedback.

Stay Authentic

Finally, be yourself during the interview. Ameritas values authenticity and diversity, so don’t hesitate to share your unique perspective and experiences. Show enthusiasm for the role and the company, and let your passion for data engineering shine through.

By following these tips, you will be well-prepared to make a strong impression during your interview at Ameritas. Good luck!

In this section, we’ll review the various interview questions that might be asked during a Data Engineer interview at Ameritas. The interview process will likely assess your technical skills, understanding of data management concepts, and your ability to communicate effectively with stakeholders. Be prepared to discuss your past projects, technical knowledge, and how you approach problem-solving in a collaborative environment.

Technical Skills

1. Can you describe a recent project where you implemented ETL processes?

This question aims to evaluate your hands-on experience with ETL and data management.

How to Answer

Discuss the project’s objectives, the tools you used, and the impact of your work on the overall data flow and quality.

Example

“In my last project, I developed an ETL pipeline using Python and SQL to automate data extraction from various sources. This reduced manual data entry time by 50% and improved data accuracy, allowing the team to focus on analysis rather than data preparation.”

2. What is the pipe operator in R, and how is it used?

This question tests your familiarity with R and data manipulation techniques.

How to Answer

Explain the purpose of the pipe operator and provide an example of how it streamlines data processing.

Example

“The pipe operator in R, represented by %>%, allows for chaining commands together, making the code more readable. For instance, I can use it to pass the output of one function directly into the next, which simplifies data transformation tasks.”

3. How do you test for normality in a dataset?

This question assesses your understanding of statistical concepts relevant to data analysis.

How to Answer

Mention common tests for normality and when you would use them.

Example

“To test for normality, I typically use the Shapiro-Wilk test or visualize the data with a Q-Q plot. If the p-value is less than 0.05 in the Shapiro-Wilk test, I conclude that the data is not normally distributed.”

4. Describe your experience with SQL and how you have used it in your projects.

This question evaluates your SQL skills and practical application in data engineering.

How to Answer

Highlight specific SQL queries or functions you have used and their relevance to your projects.

Example

“I have extensive experience with SQL, particularly in writing complex queries involving joins and subqueries. In a recent project, I optimized a query that aggregated sales data, which improved report generation time by 30%.”

5. What strategies do you use to ensure data quality and validation?

This question focuses on your approach to maintaining data integrity.

How to Answer

Discuss specific techniques or tools you use to validate data and ensure its quality.

Example

“I implement automated data validation checks during the ETL process, such as verifying data types and checking for duplicates. Additionally, I use tools like Dataiku to monitor data quality metrics continuously.”

Communication and Collaboration

1. How do you handle communication with non-technical stakeholders?

This question assesses your ability to convey technical information clearly.

How to Answer

Explain your approach to simplifying complex concepts for a non-technical audience.

Example

“I focus on using analogies and visual aids to explain technical concepts. For instance, when discussing data flow, I might compare it to a water pipeline, which helps stakeholders understand the importance of data integrity and flow.”

2. Describe a time when you had to work in a team to solve a data-related problem.

This question evaluates your teamwork and collaboration skills.

How to Answer

Share a specific example that highlights your role in the team and the outcome.

Example

“In a recent project, our team faced issues with data discrepancies. I organized a brainstorming session where we identified the root cause and collaborated on a solution. This not only resolved the issue but also strengthened our team dynamics.”

3. How do you prioritize tasks when working on multiple projects?

This question assesses your time management and organizational skills.

How to Answer

Discuss your method for prioritizing tasks based on urgency and importance.

Example

“I use a combination of project management tools and the Eisenhower Matrix to prioritize tasks. This helps me focus on high-impact activities while ensuring that deadlines are met across all projects.”

4. Can you give an example of how you’ve improved a process in your previous work?

This question looks for evidence of your initiative and problem-solving skills.

How to Answer

Describe a specific process improvement you implemented and its impact.

Example

“I noticed that our data entry process was prone to errors due to manual input. I proposed and implemented an automated data capture system, which reduced errors by 40% and saved the team several hours each week.”

5. How do you approach feedback from peers or supervisors?

This question evaluates your receptiveness to feedback and willingness to improve.

How to Answer

Explain your perspective on feedback and how you incorporate it into your work.

Example

“I view feedback as an opportunity for growth. I actively seek input from my peers and supervisors, and I make it a point to reflect on their suggestions to enhance my skills and performance.”