2 min read

Hiring a Big Data Engineer

joseph cole

Updated on November 23, 2022

Why Hire a Big Data Engineer? 

Do you know that the global data volume will reach 175 zettabytes in 2025? Now, that’s enormous data literally. But the data will make sense only when it is processed and analyzed through frameworks. This is where a Big Data Engineer comes into the spotlight. 

“Every company has big data in its future, and every company will eventually be in the data business.”  

Thomas H.Davenport, of Saïd Business School, University of Oxford

Big Data Engineers are ubiquitous in every data-driven industry from agriculture to climate change. So, technical recruiters should have a keen eye for data wizards who have a flair for numbers and coding.  

What is a Big Data Engineer?  

A Big Data Engineer is an IT professional who designs, builds, tests, and maintains complex data processing systems that work in tandem with large data volumes. 

On any given day, you can see a Big Data Engineer performing the roles of software developers, coding, data scientists, statisticians, and engineers simultaneously. 

The 5 vs of big data engineer
Hiring a Big Data Engineer

Why are Big Data Engineers in High Demand? 

Global Big Data market revenues for software and services are forecasted to reach $103 bn by 2027, with a CAGR of 10.48%, reports Wikibon 

Conjunctively, Forbes adds that, 

Jobs in Machine Learning Engineering, Data Science, and Big Data Engineering are among the top emerging jobs on LinkedIn. 

So, companies should embrace big data to avoid losing their competitive position or worse, facing extinction.   

The U.S.Bureau of Labor Statistics predicts the growth of the Big Data Engineer job market at 22% through 2030.  

Recommended Read: Hiring a Data Architect

Average Pay for Big Data Engineers 

As per Glassdoor estimates, the national average for a Big Data Engineer salary in the USA is $1,04,463 per year, with an added compensation between $2,342 – $30,427.

Big Data Engineer KPIs 

Here are the KPIs to measure a Big Data Engineer’s work potential:

  • Data quality 
  • Incident severity and resolution time  
  • Data uptime and frequency 
  • Development velocity 
  • Testable user stories for data measurement 

How can Glider AI help you with Hiring a Big Data Engineer? 

Glider’s recruitment platform is built on the mission, of “competency over credentials”. This way, you can make the most of the hiring assessments through a structured and data-driven candidate-evaluation process. 

Glider AI’s Unique Features

  • Conversational Chatbot for Talent Screening
  • Interactive, coding-enabled skill tests
  • Powerful candidate analytics 

Discover Hiring Resources for Big Data Engineers

  • Big Data Engineer Job Description 
  • Big Data Engineer Interview Questions 
  • Big Data Engineer Skills Test 
  • How to hire a Big Data Engineer 

Access 2,000 pre-built assessments covering over 500 skills with 250,000 questions, all validated by 2,000 SMEs including this for the Big Data Engineer role

Go ahead and spotlight your Big Data Engineer with Glider AI today! 

You can always write to us at info@glider.ai to help you access the hiring resources. 

Schedule My Glider Demo Today 

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