Dice Company Overview for Data Engineer Position

Dice is the pinnacle career destination for tech professionals at every career stage. Renowned for connecting top talent with industry-leading companies, Dice offers exceptional opportunities to data engineers looking to work with state-of-the-art technologies in a dynamic and supportive environment.

Our data engineer roles span across various industries including marketing, advertising, finance, and technology, focusing on crafting and optimizing data systems to harness insights from massive data sets. You will find opportunities to work with cloud platforms such as AWS and Azure, ETL tools, big data technologies like Spark, Kafka, Hadoop, and modern data warehousing solutions.

What We're Looking For

At Dice, we seek candidates who have:

• Strong experience in data architecture, data pipelines, and cloud computing.
• Proficiency in programming languages such as Python, Java, or Scala.
• Expertise with BI tools like Power BI or Tableau.
• Familiarity with cloud services (AWS, Azure) and big data technologies.
• Excellent problem-solving capabilities, communication skills, and a team-oriented attitude.

Interview Guide

This guide will prepare you for the interview process at Dice. Here's what to expect:

Interview Process

1. Initial Screening
2. Technical Interview
3. Coding Test
4. Final Interview

Topics of Interest

• Data Architecture and Pipelines
• Cloud Platforms (AWS, Azure)
• Data Modeling and Warehousing
• ETL Processes and Tools
• Big Data Technologies (Spark, Kafka, Hadoop)
• BI Tools (Power BI, Tableau)
• Machine Learning Basics

Salaries and Jobs Available

• Salaries ranging from $120,000 to $196,900 annually.
• Roles include Big Data Engineer, Azure Data Engineer, Senior Data Engineer, and more.

This guide will provide sample questions, helpful tips, and insights to help you stand out in your interview with Dice!

Typically, interviews at Dice vary by role and team, but commonly Data Engineer interviews follow a fairly standardized process across these question topics.

Submitting Your Application

The first step is to submit a compelling application that reflects your technical skills and interest in joining Dice in a data engineering role. Whether you were contacted by a Dice recruiter or have taken the initiative yourself, carefully review the job description and tailor your CV according to the prerequisites.

Recruiter/Hiring Manager Call Screening

If your CV happens to be among the shortlisted few, a recruiter from Dice’s Talent Acquisition Team will make contact and verify key details like your experiences and skill level. Behavioral questions may also be a part of the screening process.

In some cases, the Dice hiring manager stays present during the screening round to answer your queries about the role and the company itself. They may also indulge in surface-level technical and behavioral discussions. The whole recruiter call should take about 30 minutes.

Technical Virtual Interview

Successfully navigating the recruiter round will present you with an invitation for the technical screening round. The technical screening for the Dice data engineering role usually is conducted through virtual means, including video conference and screen sharing. Questions in this 1-hour long interview stage may revolve around cloud services (Azure, AWS), ETL pipelines, big data ecosystems, SQL, and machine learning concepts.

Specific skills that might be tested include proficiency in Azure Data Factory, DataBricks, Azure Storage, Spark/Scala, Kafka, Hadoop, Elastic Stack, Docker for containers, as well as other relevant technologies. The evaluation may also cover debugging, problem-solving, and data modeling, as well as assessing your understanding of data architecture principles.

Onsite Interview Rounds

Following a second recruiter call outlining the next stage, you’ll be invited to attend the onsite interview loop. During your day at the Dice office, various interview rounds will be conducted, focusing on your technical prowess and team collaboration skills. Your programming abilities, including software engineering standards and cloud computing stacks for processing big data, will be evaluated.

Special attention will be given to your experience and knowledge in building data pipelines, handling data warehousing solutions, implementing machine learning models, CI/CD practices, and various scripting languages. Each interview may dive into real-world problem-solving scenarios and case studies.

If you were assigned take-home exercises or technical assignments, a presentation round might also be part of the onsite interview process.

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