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If you like data, there\u2019s great news for you: your job prospects are high\u2014and are only getting higher.\u00a0<\/p>\n
Data-related jobs are among the fastest growing of any occupation in the U.S., and they often come with six-figure salaries. However, it can be confusing to navigate through the data science education<\/a> space due to there being a web of titles in the space, including data scientist<\/a>, data analyst<\/a>, data architect, and data engineer.<\/p>\n ADVERTISEMENT<\/p>\n Master Key Skills in Data Mining, Machine Learning, Research Design & More <\/span><\/p>\nVisit Website<\/a><\/span><\/div>\n The online Master of Information and Data Science (MIDS) program is preparing the next generation of experts and leaders in the data science field and providing students with a UC Berkeley education without having to relocate. Students graduate with connections to UC Berkeley\u2019s extensive alumni network in the Bay Area and across the world. All international applicants will be required to submit official Test of English as a Foreign Language (TOEFL) scores.<\/p>\n<\/section>\n<\/div>\n<\/div>\n Data engineer positions in particular are hot, with year-to-year growth at a rate of over 30%, according to data from LinkedIn\u2019s Emerging Jobs Report<\/a>.<\/p>\n And if you don\u2019t believe the data, just conduct a simple job search on the platform. Companies that are hiring data engineers at the time of this article\u2019s publication include Instagram, Microsoft, Adobe, The Walt Disney Company, IBM, Wellsfargo, American Express, Rockstar Games, Fifa, Boeing, Netflix\u2014just to name a few.\u00a0<\/p>\n A data engineer focuses on developing, testing, and maintaining data infrastructure. Data engineers work with data pipelines and databases to power a company\u2019s data team, in which they are a key part of. They do the foundational work that allows data scientists and data analysts<\/a> to organize, decipher, and visualize data.\u00a0\u00a0<\/p>\n While a data engineer focuses on doing the \u201clegwork,\u201d in terms of creating the processes for data collection and storage, data scientists are in charge of cleaning, analyzing, and using data to solve business programs, says the University of Virginia<\/a>.\u00a0<\/p>\n In terms of jobs, the skills needed to excel in either position will likely be very similar; employers are looking for those who are experts in computer languages<\/a> like Python and SQL. UVA says no matter which job title you are eager to pursue, obtaining a master\u2019s in data science<\/a> will enable you to have the necessary skills to succeed due to the degree\u2019s versatile curriculum.<\/p>\n The average salary of a data engineer is typically between $120,000 and $130,000, according to estimates by Glassdoor, Indeed, and Salary.com. However, a data engineer\u2019s pay ultimately will depend on several factors, namely education, experience, and location.\u00a0<\/p>\n Those with an advanced degree in a data field, for example, may earn more\u2014as well as those with more professional experience, who may reach senior or lead data engineer positions. Moreover, those living in states like California or New York, where cost of living is higher, may receive a larger salary to account for expenses.<\/p>\n\n\n\nBerkeley’s Data Science Master’s <\/a><\/h4>\n
What is a data engineer?<\/h2>\n
How is a data scientist different from a data engineer?<\/h2>\n
How much can data engineers make?<\/h2>\n
5 companies hiring data engineers\u2014with high-paying salaries<\/h3>\n
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