{"id":999694182,"date":"2019-06-04T13:29:00","date_gmt":"2019-06-04T13:29:00","guid":{"rendered":"https:\/\/dice.npgdev.com\/?p=181474621"},"modified":"2019-06-04T13:29:00","modified_gmt":"2019-06-04T13:29:00","slug":"recruiting-data-engineers-challenging","status":"publish","type":"post","link":"https:\/\/dice.npgdev.com\/hiring\/recruitment\/recruiting-data-engineers-challenging","title":{"rendered":"Recruiting Data Engineers Could Prove Challenging"},"content":{"rendered":"\n<p>Companies remain hungry for \u201cdata engineers\u201d and other roles that involve wrestling with massive datasets. That potentially makes things more difficult for recruiters and hiring managers who must secure this talent, and it may lead to them paying higher salaries (and better perks and benefits) for top candidates.<\/p>\n\n\n\n<p>According to a breakdown of data from  <a href=\"https:\/\/www.burning-glass.com\/products\/nova\/\">Burning Glass\u2019s Nova<\/a>  platform, which analyzes millions of active job postings, \u201cdata engineer\u201d remains the top tech job, with an 88.3 percent increase in postings over the past twelve months. (Its top ranking remains unchanged from last month.)<\/p>\n\n\n\n<p>However, the rest of this list has seen some churn since we last ran the numbers. For example, \u201ccomputer scientist\u201d lingered midway down April\u2019s list; now it sits in third place, behind \u201cdata engineer\u201d and \u201cactuary.\u201d Meanwhile, \u201cvideo game designer\u201d dropped slightly, from second place to fourth. Check out the full list:<\/p>\n\n\n\n<iframe title=\"Top Trending Job Titles (U.S., Y\/Y)\" aria-label=\"Table\" src=\"\/\/datawrapper.dwcdn.net\/kOpcZ\/1\/\" scrolling=\"no\" frameborder=\"0\" style=\"border: none;\" width=\"600\" height=\"690\"><\/iframe>\n\n\n\n<p>Many of the positions on this list share a similar focus on data. Whether you\u2019re a data engineer, GIS specialist, data scientist, or a database architect, you\u2019re going to spend the bulk of your time dealing with data\u2014selecting it, cleaning it, analyzing it, and concluding whatever you can from the results. Although there are many tools that automate broad swaths of data collection and analysis, the professionals who succeed in these roles will need a firm grasp of the underlying concepts.<\/p>\n\n\n\n<p>As companies try to collect and mine data for business-enhancing insights, the demand for data-related jobs will only increase. In 2017, a report from  <a href=\"http:\/\/www.mckinsey.com\/business-functions\/digital-mckinsey\/our-insights\/big-data-the-next-frontier-for-innovation\">consulting firm McKinsey   Co.<\/a>  suggested a national shortage of as many as 190,000 people with \u201cdeep analytical skills\u201d by  the end of 2018. Now we\u2019re midway through 2019, and charts like the one above suggest that companies are still hungry for professionals who can crunch data. However, these firms don\u2019t just want anyone capable of wrangling an Excel sheet and a few tools; they\u2019re increasingly interested in specialists with deep knowledge of particular processes and industries.  <\/p>\n\n\n\n<p>For instance, our recent analysis of Dice data showed that job postings for data scientists rose steadily between 2016 and 2018, <a href=\"https:\/\/www.dice.com\/career-advice\/data-scientist-market-too-hot-own-good\">with a huge spike early last year<\/a>. But that jump was unsustainable, and the rate imploded to 2017 levels, followed by a slow rise. That suggests demand for data scientists and data engineers, while still robust, is outstripping the supply of new graduates; those candidates who want to land positions will need to demonstrate that they have advanced skills and the right experience.<\/p>\n\n\n\n<p>Even the tech jobs on this latest Burning Glass list that don\u2019t explicitly involve data\u2014such as web designer, video game designer, or UX designer\u2014must take analytics into account in some fashion. For recruiters and hiring managers trying to find candidates to fill these roles, to pays to keep abreast of what\u2019s going on in <a href=\"https:\/\/www.dice.com\/jobs\/q-Data+Scientist-jobs\">data science<\/a>. Check out <a href=\"2020-candidate-sourcing-guide-everything-need\">Dice&#8217;s Sourcing Guide for 2020<\/a> for some solid tips. <\/p>\n","protected":false},"excerpt":{"rendered":"<p>Companies remain hungry for \u201cdata engineers\u201d and other roles that involve wrestling with massive datasets. That potentially makes things more difficult for recruiters and hiring managers who must secure this talent, and it may lead to them paying higher salaries (and better perks and benefits) for top candidates. According to a breakdown of data from [&hellip;]<\/p>\n","protected":false},"author":132,"featured_media":181474621,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[2154],"class_list":["post-999694182","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-sourcing-candidates"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v23.2 (Yoast SEO v27.5) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>Recruiting Data Engineers Could Prove Challenging - Dice Hiring<\/title>\n<meta name=\"description\" content=\"Companies remain hungry for \u201cdata engineers\u201d and other roles that involve wrestling with massive datasets. That potentially makes things more difficult\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/dice.npgdev.com\/hiring\/recruitment\/recruiting-data-engineers-challenging\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Recruiting Data Engineers Could Prove Challenging\" \/>\n<meta property=\"og:description\" content=\"Companies remain hungry for \u201cdata engineers\u201d and other roles that involve wrestling with massive datasets. 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