Updated 2020—icrunchdata is proud to publish and host the latest big data job board index in the field of big data. Here you can find the latest labor information and future trends for high growth categories of employment in the United States. This big data jobs report is taken from a sampling of the best big data job sites, our proprietary data from big data job boards and is compiled by our research team. This compiled research is focused around a particular skill-set, so it's inherently quite targeted yet easily digestible at a glance. We'll be adding more information to this report, so stay tuned. Learn more about our IT job board platform.
The coined phrase big data refers to the immense amount of data collected, stored and analyzed from every imaginable device and business in our modern culture, that are so complex and large that advanced methods of storage and extraction are needed. Traditional relational databases are typically unable to process big data. The threshold of database size before it’s considered big data is relative to each organization and tends to be a moving target, but could start with only a few terabytes, and for other organizations it might start at a petabyte. Generally speaking however, when data storage and data processing in particular become a challenge; big data management solutions are needed. The big data industry has grown at a staggering rate in recent years, with major providers such as Teradata, SAP, Oracle, and Dell EMC providing enterprise solutions, just to name a few. Database size is not the only consideration when big data solutions are needed, but perhaps the simplest to understand. Complexity, velocity (or speed), consistency, and the quality of data all become considerations at some point. Many enterprise big data solutions involve something that’s called parallel processing, such as the case with the popular architecture of MapR, which uses parallel nodes. With the MapR platform, database queries are divided across parallel nodes and then delivered through algorithmic reduction. It’s this framework that inspired and was adopted by Apache Hadoop, which is an open source project. Big data has become big industry, and many believe we are just at the dawn of this era of incredible growth.
Where is the field of big data headed, and how will it impact our lives? Big data will continue to impact all industries in profound ways, from healthcare, government, education, retail, manufacturing, advertising, science and finance just to name a few. Every touchpoint of our digital lives will continue to collect data and provide opportunity for insight and decision making. While the notion of big data itself can be deemed somewhat of a concept, it has created very tangible possibilities and opportunities. In fact, some of the major technological breakthroughs in big data have even spawned new big industries. One example of a newly created industry is what’s called the Internet-of-Things (IoT). Countless physical devices are connected to the internet and generating data on our usage, location, and behavior from mobile phones to TVs and even refrigerators. More and more device manufacturers are embedding internet connectivity in all devices. It’s this inter-connectivity between devices, and the subsequently vast amount of data collected, that the parent makers of them which will leverage to provide some kind of value. IoT has become one of the new frontiers and fastest growing sector for careers that is the direct result of big data evolution. More information on IoT jobs can be found here. Hundreds of thousands of big data jobs will be created with subset specialties required. Now let’s take a look at some considerations for big data jobs and how this might impact employment opportunities.
As new industries are created, and as big data continues to unlock its pervasive value; there will be hundreds of thousands if not millions of jobs created. Employers globally are already hiring professionals with technology skills in big data. The only threat to the career growth of big data, is the onset of artificial intelligence. Many experts believe a variety of jobs will be replaced by AI technology. Regardless however, big data and the skill-sets needed to support the industry growth will largely come from the human talent pool. One of the big data related hyper growth niches of employment is called data science. Data science is currently one of the best career paths that a technology professional can take. More information on data science jobs can be found here. Many universities even have degree programs that relate to big data, data science and analytics. So there is no shortage of opportunities and ways to dive into this incredible industry of big data. You can also find many big data jobs here on icrunchdata by searching for popular titles listed below or customizing your job search. And be sure to check out our pro tips for job seekers.
1. Big Data Engineer
2. Big Data Developer
3. Big Data Architect
4. Big Data Specialist
5. Director of Operations, Big Data
To bring our audience and the general community additional value, icrunchdata has started to release summary reports, trends, and relevant analysis related to jobs in the field including the data scientist salary report and the data science jobs index report.
1. Analytics Job Board Index
2. Artificial Intelligence Job Board Index
3. Cybersecurity Job Board Index
4. Data Job Board Index
5. Data Analyst Job Board Index
6. Data Science Job Board Index
7. Hadoop Job Board Index
8. Internet of Things - IoT Job Board Index
9. IT Job Board Index
10. Machine Learning Job Board Index
11. SAS Job Board Index
12. Statistics Job Board Index