Mastering Technical Coding Interviews

Technical coding interviews are designed to assess a range of your abilities, including problem comprehension, solution optimization, coding structure, and algorithmic understanding. Your performance in these areas significantly impacts the interviewer’s assessment of your skill level.

A coding interview tests your hands-on ability to solve problems with code, often involving data structures and algorithms. A technical interview, however, is a much broader assessment of your skills, including areas like system design, troubleshooting, and conceptual understanding. Types of technical interviews can include programming or coding, hardware, product management, data science, machine learning, system design, and other specialized areas.

This guide was created using a mix of expert resources, professional articles, videos, and tailored advice for Binghamton students. All external sources are credited throughout and listed in the table at the bottom of this page. Portions of this guide were developed with support from Google’s Gemini, used to help synthesize research, generate summaries, and refine formatting. All final content was reviewed and customized for Binghamton University students.

Understanding Different Interview Types

While this guide is focusing more on technical coding interviews, it’s important to note that most interviews will have a behavioral interview component. This is so they can understand the candidate, assess their cultural fit with the company or organization, evaluate soft skills, and predict future performance.

Behavioral Interviews:

Purpose: To assess past behavior as an indicator of future performance.
The CAR Method (Circumstance, Action, Result):
- Explain each component clearly with an example.
- Provide common behavioral questions (e.g., “Tell me about a time you faced a challenge,” “Describe a time you worked effectively in a team,” “Give an example of when you showed initiative”).
Tips for Answering: Be specific, use “I” not “we,” quantify results when possible, practice telling your stories

How to Prepare:

Resume Review: Be ready to discuss everything on your resume, from your technical skills to your non-technical experiences. For a professional review, get help from the Fleishman Center.

Fleishman Resume Templets

Practice Common Questions: Familiarize yourself with common behavioral interview questions and prepare thoughtful responses.
Focus on Results: When describing situations, emphasize the positive outcomes and lessons learned.
Be Authentic: Be yourself and let your personality shine through.
Fleishman Center for Career and Professional Development: Sign up for a mock interview on hireBING using the button below.

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Example Interview Questions:

“What do you mean by Data Analysis?”
“How do you approach cleaning and preparing data for analysis?”
“Can you explain the difference between structured and unstructured data?”
“Describe a project where you used data to solve a problem. What was your approach and the outcome?”
“What statistical methods are you familiar with, and how have you applied them?”
“Can you walk us through your process for creating a data visualization? What tools do you use?”
“What is your experience with SQL, and how have you used it?”
“How do you handle missing or incomplete data in your analysis?”
“How do you communicate complex data findings to a non-technical audience?”
“What are the main libraries you would use for data analysis in Python?”
“Explain the difference between ETL and ELT processes, and when you would use each.”

Big Interview:

Big Interview is a platform that’s free to Binghamton University students and a great place to master the non-technical aspects of the interview process.

Coding interviews typically include behavioral questions alongside technical challenges.

Big Interview can help you by:

Practicing with the Question Library: Navigate to the “Practice” section to access a wide variety of questions, including industry-specific ones. You can find sections dedicated to “Technical” and “Competency & Skill-Based” questions, which are often a part of technical interviews.
Recording Your Answers: Use the platform’s mock interview tool to record your responses to common behavioral questions like “Tell me about yourself” or “Why do you want to work here?”. This allows you to practice articulating your thoughts and stories clearly.

Big Interview

Example of the “Question Sets” you can find on Big Interview.
Example of the “Question Sets” you can find on Big Interview.

Technical Coding Interviews:

Purpose: To assess specific technical knowledge and problem-solving abilities.
Common Formats: Coding challenges, whiteboard problem-solving, and theoretical questions.
Common Formats: Coding challenges, whiteboard problem-solving, and theoretical questions.

How to Prepare:

Online Coding Platforms: LeetCode, HackerRank, Codecademy (for technical skills).
Data Science Platforms: Kaggle, DataCamp (for data analytics skills).
Industry Blogs & Publications: (e.g., Medium, Towards Data Science, specific tech company blogs).
Professional Organizations: Institute of Electrical and Electronics Engineers (IEEE), Association for Computing Machinery (ACM), etc.

LeetCode is a platform that is heard very frequently as a prep tool for coding interviews. Anthony D. Mays, an experienced tech interviewer, explains that many common LeetCode interview preparation strategies are ineffective. He offers insights from an interviewer’s perspective on how to succeed in technical coding interviews.

** Watson students are able to particplate in weekly LeetCode sessions. Please look at the Watson Career and Alumni Connections events calendar HERE

What to keep in mind as you’re preparing:

Mays argues that if you’re spending all your time memorizing LeetCode problems, focusing solely on “hard” problems, or rushing to the first solution, you’re doing it wrong. Companies, especially big tech firms, do not trust candidates to simply provide memorized answers for high-paying roles. They need to assess genuine problem-solving abilities. Memorizing solutions is a disservice because interviewers rarely give problems that candidates have already seen. Instead, they give problems to assess how candidates problem-solve.

The number of technical interviews you’ll have often depends on the seniority of the role you’re applying for.

Technical Interview Expectations

Internships: Expect at least one technical interview, in addition to any initial technical assessments.
Full-time roles: You’ll likely have at least two or three technical interviews. More senior positions typically involve a higher number of these interviews.

Common Career Fields/Job Titles that Might Require Coding Interviews

Core Software Development Roles:

Software Engineer / Software Developer: This is the most common role where you’ll encounter coding interviews. It’s a broad category that encompasses designing, developing, testing, and maintaining software applications across various platforms (desktop, web, mobile, embedded systems).
- Sub-specialties include:
  - Frontend Developer: Focuses on the user-facing side of websites and applications (HTML, CSS, JavaScript).
  - Backend Developer: Deals with server-side logic, databases, and APIs.
  - Full-Stack Developer: Works on both frontend and backend.
  - Mobile Developer (iOS/Android): Specializes in building applications for mobile devices.
  - Game Developer: Creates video games.
  - Systems Programmer: Works on operating systems and low-level software.
  - Embedded Software Engineer: Develops software for hardware devices.

Data-Related Roles:

Data Scientist: Uses programming (often Python or R) to analyze large datasets, build models, and extract insights to inform business decisions.
Data Engineer: Builds and maintains the infrastructure for data pipelines, ensuring data is collected, stored, and accessible for analysis.
Machine Learning Engineer: Focuses on designing, building, and deploying machine learning models and systems.
Business Intelligence Analyst (often with coding): While some BI roles are less code-intensive, many now require strong coding skills (e.g., Python, SQL) for more complex data manipulation and visualization.

Cloud and Infrastructure Roles:

Cloud Engineer / Cloud Architect: Designs, implements, and manages cloud-based systems and services (e.g., AWS, Azure, Google Cloud).
DevOps Engineer / Site Reliability Engineer (SRE): Bridges development and operations, focusing on automating software deployment, infrastructure management, and system reliability. These roles often involve significant scripting and automation.
Network Systems Administrator (with automation focus): While not all sysadmin roles require deep coding, those focused on automation and large-scale infrastructure management often do.

Other Tech Roles:

Cybersecurity Analyst/Engineer: While core security knowledge is key, coding skills can be crucial for automating security tasks, analyzing malicious code, and developing security tools.
Database Administrator (DBA): Manages and maintains databases, which can involve writing scripts and code for tasks like performance tuning, backups, and security.
Product Manager (for technical products): While not always requiring coding interviews, product managers for highly technical products may benefit from understanding the development process and can sometimes be asked technical questions that touch on coding concepts.
IT Technician (with automation focus): Basic coding skills can be very helpful for automating common IT problems and administrative tasks.

Before You Code: Understanding and Planning

If your technical interview will be done virtually, you’ll want to make sure you have a quiet space that will allow you to fully focus and has a strong internet connection.

Alternative space can also be found in the library, or if you are a part of SOM/Watson, you can see if those career offices have space available.

Library Room Reservation Link

Have the interviewer’s contact information (phone number) ready just in case the audio drops, screen freezes or other technical hiccups occur. Stay calm and act professionally and quickly if this happens.
Do a test run of the video platform with a friend the day before to make sure audio and video are working and
appropriate.
Try your best to make the background professional and not distracting.
Dress in appropriate professional attire that corresponds to your industry.

When you get on the call, your initial steps are crucial for setting a strong foundation:

Clarify the Problem: This is your absolute first step. Avoid jumping straight into coding.

Restate the problem in your own words. This demonstrates your understanding and communication skills.
Provide your own example inputs and expected outputs. This helps confirm you’re solving the correct problem. Working on the wrong problem or rushing into implementation can lead to an automatic rejection.

Before settling on one approach, consider several ways to solve the problem.

This shows your ability to think critically about optimality. Define what “optimal” means for this specific problem (e.g., time complexity, space complexity), as this will guide your chosen approach.
You don’t need to know if a solution will work perfectly. Expressing your ideas out loud during this phase is incredibly valuable. The interviewer has likely seen this problem many times and can often provide subtle nudges or point you in the right direction if you’re stuck or veering off course.
If you can brainstorm multiple solutions, it’s perfectly acceptable to ask the interviewer which approach they prefer. This can save you time by preventing you from implementing a less ideal solution. If you’re stuck on a naive solution, implement it, but always think about alternative approaches and ask for guidance. Interviewers are often happy to point you towards more optimal paths.

Once you understand the problem, articulate your proposed solution. Write down your algorithm as comments or bullet points in your text editor. This sets the foundation for your coding.
Think out loud as you outline. Explain your thought process and ask the interviewer if they have any questions. This communication is key to standing out.

During the Coding: Confidence and Communication

As you begin to write code, keep these points in mind:

Code with Confidence

Show that you’re following through on your outlined plan. The interviewer may not speak much, which is normal; don’t let this deter your confidence.

Communicate Your Progress: Even while coding, continue to communicate

Talk about what you’re going to write next and how it relates to your overall algorithm.
You can then code in silence for short periods, but regularly check in with your thought process.

Code Efficiently: Time is often limited (sometimes as little as 30 minutes)

Avoid getting stuck on a small part of the code. If you encounter a roadblock, add a “To Do” note and move on to other parts of your algorithm. You can always return to refine or fix sections later.

Actionable Advice for Binghamton Students

Leverage your coursework: Connect classroom learning to practical applications.
Highlight personal projects: Show initiative and passion beyond academics.
Internships and Co-ops: Emphasize how these experiences enhance your resume and interview answers.
Networking: Connect with alumni and professionals in these fields using

Mentor Match

Career Fairs & Info Sessions: Explore your career path by attending Fleishman-hosted job fairs, networking events, and employer treks to meet industry professionals and discover new opportunities. Learn more about our

Fleishman Signature Events

Video Preparation

Sources

This guide was created using a mix of expert resources, professional articles, and tailored advice for Binghamton students. All external sources are credited throughout and listed here:

Indeed Career Advice: Common Technical Interview Questions and Answers