Big Data Jobs

Top 9 Big Data Jobs in 2020 

 

Imagine a BIG animal:

Let’s say, an elephant.

Imagine you have one elephant in your backyard. You can manage that, right?

All you have to do is feed it and clean up after it. And make friends with Snorky. (Yes, he has a name!)

Now, let’s add nine more elephants to the one you already have. You get 10 elephants. That means a lot more work for you.

Crap…  (Exactly!)

And now – let’s say you have 1,000 elephants in your backyard… (it’s a BIG yard, OK?)

Welcome to the world of big data jobs!

Now:

The term big data is a bit vague. If you have no idea what it is you can even ask things like:

What’s so big about this data? (Elephants, backyards, you got the point!)

Let’s see some big data statistics first.

Big Data Statistics (Editor’s Choice):

Leftronic TipIf you haven’t decided on a big data job yet, make sure you are familiar with the programming languages that every job requires. Python is a must, as there are tons of Python big data jobs available nowadays, so you have to be proficient in Django. In other words, research well, before you start. 

All big data jobs require employees to be excellent team members (to different extents). As a big data employee, you’ll be a part of a team that needs to communicate results and strategies constantly. Our list will show “strong communication skills” on those jobs where the employee has to be in constant contact with her team members.  

 

 

 

 

 

 

 

 

 

(If you are one of those people who simply thrive when working with others, you’ll just love the atmosphere in big data!

In other words: 

Organizations use big data to take meaningful decision. Team members work closely with various departments and team leaders. And the more comfortable you feel working as part of a team, the better your chances of surviving in a big data environment. 

You are probably wondering: 

How much do big data jobs pay? 

Good question!

Big data is one of the highest paying niches in the tech field. It’s not a secret that IT-people are doing great. The big data average salary in the US is around a whopping $136,000 annually.

Bingo!

Big data jobs are known for premium pay. You need to be qualified and have the right set of skills and experience in order to qualify for the big bucks, of course. 

But there’s more:

Upgrading your career in tech is the perfect opportunity nowadays. There are a lot of new big data positions coming up every week, with not many specialists out there to fill. And of course, landing a big data jobs salary sounds like a good motivation. 

With experience comes knowledge – and an increase in salary. Four to six months in, and you’re on your way to making it big. 

Our question for you right now is: 

What can you do to contribute to the world of big data? 

And let’s move on:

Popular Big Data Jobs and their Salary Ranges in the US

If you’ve chosen the world of big data as a career path, you’ve come to the right place. We’ll cover the 9 most popular big data jobs in 2019, elaborate on what is required in terms of skills for each of them, and mention the salary range according to the level of experience. 

This is important:

In the process of decision making, no business can underestimate the power of big data. In global terms, there is no denying that the best cities for big data are located in the US (apart from Dublin, where all the big server farms of Facebook, Google, and Amazon are, due to Ireland’s relatively low corporate tax).

Let’s get started, guys!

Most popular Big Data Jobs (According to Our Data)

Let’s have a look at nine of the highest paying big data jobs in the US:  

Job Name

Skills Required For Big data Jobs

Salary Range

Big Data Engineer
  • Advanced Python, Java, C++
  • Advanced knowledge of SQL and DBMS
  • Strong communication skills
  • Data Wrangling
$110,000 – $194,000 
Big Data Analyst
  • Advanced programming
  • Advanced analytical skills
  • Converting data into strategic projects
  • Strong communication skills
$58,000 – $98,000
Data Scientist
  • Advanced programming and maths 
  • Statistics
  • Machine learning
  • Data wrangling  
$95,000 – $250,000
Data Visualizer
  • Advanced analytical skills
  • Advanced math, statistics, and computer science 
  • Programming languages: Python, Angular.js, Java, Scale
$91,000 – $150,000
Business Intelligence Engineer
  • Analytical thinking
  • Customer service skills
  • Strong communication skills
$64,000 – $140,000
Business Analytics Specialist
  • Finance and statistics
  • Strong communication skills
  • Advanced analytical skills
$26,000 – $152,000
Hadoop Admin
  • Advanced knowledge of Linux
  • Troubleshooting skills
  • HBase, Hive, Pig, Mahout
$71,000 – $165,000
Hadoop Developer
  • Advanced knowledge of back-end programming
  • Programming languages: Node.JS, Java
  • Advanced knowledge of Hadoop, HBase, Hive, Pig, Mahout
$80,000 – $168,000
Spark Developer
  • Hands on experience with Apache Spark and Hadoop
  • Advanced knowledge of Hive, Pig, Sqoop, Flume and Mahout
  • Excellent problem solving skills
$11,000 – $154,000

Let’s dive into it, guys:

  • Big Data Engineer

Big data engineer jobs are quite valuable for the data science world. The employees develop, maintain, and test a company’s big data infrastructure. They now have to say whether the solution they came up with will work for the company or not. 

Big data engineers are the people who stand between business executors and data scientists. They handle great amounts of raw data and provide the means to process it. They also maintain the software systems responsible for data processing. 

And just in case you’re bored, check this out:

The average salary of big data engineers reached $135,000 in 2019.

Guys, keep reading!

Data engineers make sure data processing organization functions flawlessly and reliably. Maintaining the data pipe systems is their responsibility. Data engineering includes using data from various sources and building models to reduce the difficulty of the problem. 

Now: 

How to become a big data engineer? 

Big data engineers are the people who can make sense out of the enormous amount of data at hand. They need to communicate with data scientists and data analysts on an everyday basis. So, communication skills are super valuable for any big data scientist.

Hands-on experience with programming languages is one of the crucial skills for every data scientist. 

 

Let’s get to our next contestant:

  • Big Data Analyst

We are looking at real heros here, guys.

Data analysts dive deep into the oceans of big data with a can do approach and a smile on their faces. 

A black and white image of a diver.

(You can’t see the smile of the data analyst on that photo, but I assure you – it’s there!)

#likeaboss

Indeed. Data analytics is one of the highest paying big jobs in the world. Why? Industries need insight into marketing. And data analysts are providing them with just that. 

What does the data analyst do?

She gathers data and structured data bases, creates modules and then – can you believe it – analyzes them. Data analysts structure databases and create models. By preparing advanced types of analysis they explain the patterns in the huge amounts that have become visible. 

Data analysts are a part of a team which includes data scientists and data engineers, among other members. Extracting insights that are key for the business performance of the company they are working for is where data analysts shine. Well, they don’t actually shine like Danny Torrence in The Shining, but you get what I mean. 

Big Data Analyst in a nutshell.

  • Data Scientist

 

There has been a high demand for big data science jobs in the last fifteen years. Let’s see why: 

In 2001, William S. Cleveland called data science “An Action Plan for Expanding the Technical Areas of the Field of Statistics.” 

Taking advantage of computing power and using it for statistics is what data science is all about.

 As soon as the internet allowed us to leave our digital footprint behind us, things got messy. The quantity of data we created and stored snowballed. 

And that’s where data scientists came to the rescue. 

Data scientists use data to create as much impact for their company. They use data to solve company problems, and they use data to improve the company’s products. Data scientists find solutions to company issues using big data. 

So:

Are you looking for a data scientist job?

Being a data scientist comes close to being a celebrity these days.

Bear with me: 

Data scientists deal with data in large quantities. They use math, statistics, and programming to clean and organize it. (I’m thinking about the elephants again.)

They use their wide-ranging skill set to synthesize data and extract insights. 

Does that sound sexy? 

Well, it turns out that the sexiest job of the 21st century is… 

… data scientist. 

Seriously? Have you seen a sweaty firefighter in a uniform…?

Well, that’s one side of the medal. The other is that data scientists are… well paid. 

(Yes, diamonds ARE forever!)

Choosing between a senior data scientist and a firefighter has never been more difficult.

However:

Smart IS the new sexy! 

The world is changing and programmers are becoming hotter every day! 

(True story!)

Data Scientist in a nutshell.

  • Data Visualizer

 

That’s an attention-worthy career opportunity right here!

As the name suggests, data visualizers are all about representing data as images or graphs. This makes patterns emerge, the data becomes easy to process by other members of the team and of course, by clients. 

Data visualization experts create stories out of large quantities of data using presentation techniques to explore the data easily. In order to become a data visualizer, you need a Bachelor’s or Master’s degree in computer science or a related field. Also, big data visualization can be a part of the workflow of a data analyst or a data scientist.   

We’re talking data art here, guys!

So, data analysts use data to make better decisions. They use it to improve existing processes and services, and so they make the organization much more effective. 

In a nutshell: 

Next:

  • Business Intelligence Engineer

 

BI engineers work with customers and data analysts. They use their knowledge of business functioning areas and analysis to provide companies with solutions and structure of data which will help in the process of making sound business decisions. 

BI engineers must be easy to communicate with. They interact with the majority of the team members and with customers as well. Their work includes a broad spectrum of business results, customer experience, and key business metrics. They understand the process of turning data into information and knowledge, and are of great importance to any big data team. 

In order to become a business intelligence engineer you need a degree in computer science and/or business management. 

In brief:

Business Intelligence Engineer in a nutshell.

  • Business Analytics Specialist

 

Businesses need help with data. And Chief Business Analysts provide them with technical and analytical support and come up with innovative solutions. Their responsibilities include creating a detailed business analysis, planning the budget, internal and external reporting. 

The thing is:

Understanding business issues and developing cost-effective solutions is what a business analytics specialist does. She synchronizes the workflow with the upper management and performs system testing and comparative analysis.

Every future business analytical specialist need a degree in finance and/or statistics. Helping a business achieve its goals is what a business analytics specialist needs to do at the end of the day. 

And now it’s time to get right into the thick of things:

Leftronic TipThere’s a high demand for entry level big data jobs on the market. However, the salaries for different jobs may vary a lot. Before you settle, make sure you’ve applied for as many positions as possible and choose the one that will offer you the most.

In a nutshell:

Business Analytics Specialist in a nutshell.

  • Hadoop Admin

 

Due to the number of Hadoop implementations in business environments nowadays, Hadoop administrators are needed. 

As the name of the job suggests, Hadoop administrators are responsible for the ongoing Hadoop infrastructure. They set up new Hadoop users and monitor file systems, installing operating systems and managing Hadoop updates. 

Sounds like a handful, but then again, isn’t that what big data is all about?

Which brings us to: 

How to become a Hadoop Admin? 

Hadoop runs on Linux, so you’ll need advanced knowledge of the operating system and familiarity with open source projects. Not to mention that Hadoop management skills, like deploying Hadoop clusters and removing nodes, are super important. Hadoop administrators perform monitoring and tuning and database backup and recovery. 

Hadoop Admin in a nutshell.

Here comes a big data developer job that’s worthy of our attention in 2019: 

 

  • Hadoop Developer

 

Hadoop jobs share some common features. Both Hadoop admins and developers need an advanced knowledge of HBase, Pig, and Hive. The difference is that developers use those for pre-processing, configuring, and supporting Hadoop. 

Check this out:

Hadoop developers perform analysis of data stores and come up with insights. They test prototypes and propose best practices. Developers need to manage HBase and perform pre-processing using Hive and Pig, and high-speed querying. 

Hadoop development is a field that offers many opportunities. There’s a huge variety of sectors that need Hadoop developers nowadays and chances are that if you qualify for the job you can land a place in a  decent company. 

Hadoop Developer in a nutshell.

  • Spark Developer

 

There are several big data processing tools out here, with the two most popular ones being Hadoop and Spark. Learning to work with Spark can get you a significant raise and a cozy spot in the big data community. In related news, the demand for Spark developers increases every year.

Spark developers have increased access to big data. They have the amazing opportunity to interact with big data, perform data exploration, and find solutions for big data problems. 

And all this while using one of the hottest big data platforms! How about that? 

Not unlike the other big data jobs we already mentioned, Spark big data jobs require at least six years of experience in software development before you start earning the big bucks. 

Spark Developer in a nutshell.

So now we’ve covered the top 9 big data jobs descriptions. With that in mind, every business nowadays can benefit from big data. Making business decisions with the help of big data analytics is a trend that will go beyond 2019.

The big data jobs market is growing at a steady pace. And the people who benefit from the info they generate literally rule the world.

Now, we are moving on to:

Technologies that Depend on Big Data Specialists

The requirements for big data jobs include advanced knowledge of Python, Java, Hadoop and Spark, Tableau, Matlab, Hive and Pig. Another standard set of skills includes knowledge of SQL, Spark, and Apache Spark. The roles of big data scientists is becoming more and more important with each year, so there is a huge demand for specialists. 

But what technologies depend on big data specialists?

Every technology that depends on dynamic information has to rely on big data analytics. Big data technologies reduce costs and bring financial advantages to companies. The ability to analyze data, structure it, and provide patterns and business solutions has changed the face of the world economy. 

Every new product that goes on the market is tested to satisfy the needs of the targeted audience. Consider the Amazon big data jobs – those guys ARE making it rain. 

In other words: 

Big data ensures that the customers are given what they want. And businesses thrive under the magic of big data…   

And now:

Let’s say a couple of words about other big data jobs that deserve our attention: 

Azure Big Data Jobs

Microsoft Azure is a cloud computing service created back in 2010. Nowadays, there are a couple of big data jobs that are famously connected with Azure:

  • Azure Big Data Architect 
  • Azure Big Data Engineer

When it comes to Azure Big Data Engineer jobs, you need to recreate functionality, experience with storing and processing information with Azure Data Lake, and manage SQL database environments. 

On the other hand, the requirements for Azure Big Data Architect jobs advanced knowledge of Azure Data Factory (duh!), previous programming experience, and experience with traditional and modern data architecture. 

AWS Big Data Jobs

As a part of the elite Amazon team, you will be close to the stars! Developing optimal software solutions and delivering high quality performance to the company are the top priorities of every big data Amazon employee.

Here’s the deal:

If you are looking for a big data job for Amazon, you need to think about the AWS big data certifications first. It is intended for future employees who will deal with big data analysis. The certificate will definitely bring you tons of credit and will win you points in the eyes of your future employees. 

How Can I Start My Career in the Field of Big Data?

I think we can all agree that big data jobs are attractive and lucrative. Many young big data potentials wonder where to start their career path. 

Leftronic TipStarting with the essentials is crucial. Master the tools and techniques that are required for the big data job you have chosen and be persistent.

The next step that will bring you closer to the world of big data is reading as many reviews on analytics as possible. It is crucial that you have access to the latest information. 

Last but not least, join the analytics community. Make sure you meet the people who will help you with guidance and who can give you tips about the job you’re looking for. 

The Future of Big Data Jobs

We’ve already learned that we’re storing a massive amount of data. 

Every single day. 

Well, that’s not likely to change anytime soon. In fact, as the world’s population continues to grow, we’ll store even more data in the future. And so will the demand for people responsible for that data. 

Key takeaway:

Your professional prospects in the field of big data look quite promising in 2019. And keep in mind there is a shortage of employees in the field, which will help improve your prospects. 

What’s more:

Organizations are increasingly relying on the insights that big data analytics can provide them with. Their business depends on the personalization of demand, and they need to make business decisions based on what the big data analytics and machine learning can provide them with. 

Actually, the rise of AI and machine learning is what boosted the demand for data scientists. If it hadn’t been for big data machine learning jobs, who would have powered the miracle of deep learning. And the demand for those has skyrocketed in the past two years as well. 

Every big data scientist entering the job market has a chance to succeed, assuming she has the right set of skills for the job. The big data average salary in the US is enough of a motivation for every advanced programmer looking for a challenge. 

Will the gap between supply and demand close soon? Maybe. Data scientists emerge on the market, but it will take some time to fill the gap. 

In Conclusion

Being successful in the world of big data is what many programmers and computer scientists strive for in 2019. Today, we shared with you the top 9 Big data jobs in 2019 as well as our insights into the future of big data jobs.

Bringing big data together is a job for tough nerds, who are not afraid to handle massive data sets. 

#datanerd

Every big data job description includes exceptional problem-solving skills, experience with developing creative solutions, and good communication skills. Big Data and database experience are highly valued when applying for a big data job. 

Good luck with your future big data jobs, guys!

See you around.