![]() ![]() How much you'll earn differs by location. There are around 6500 data engineers in the country. With experience, you can usually expect to move into more senior roles. The average yearly salary for professionals with over 20 years of experience is $117,582. The average annual salary for professionals with 10-19 years of experience increases to $117,582. The average yearly salary for professionals with five to nine years of experience increases to $108,537. According to data from Payscale, data engineers with one to four years of experience make an average annual salary of $89,715. Google Certified Data Engineer Certificationĭata Engineer Certifications by Microsoftĭata Science Council of America (DASCA) Associate Big Data Engineerĭata Science Council of America (DASCA) Senior Big Data EngineerĪmazon Web Services (AWS) Certified Data Analytics – SpecialtyĬloudera Data Platform Generalist CertificationĪs you gain more experience as a data engineer, your salary will likely increase. Here are some data engineer certifications to consider: Certifications from IBM, Amazon, Google, Oracle, and Microsoft can also help you earn more and get jobs in specialist roles. Specialized certifications, such as Cloudera Certified Data Engineer, demonstrate specific skills employers seek. Advanced degrees can increase your earning potential by elevating you more rapidly to senior roles. Companies often require a master's degree or professional doctorate and are typically looking to hire senior-level data engineers with proven leadership skills and industry experience. How much you’ll earn as a data engineer depends on your level of education, certifications, years of experience, company size, industry, and location. Here's what you need to know: Educationīachelor's degrees are often the minimum requirement for data engineering positions. Note: Total pay is the combined amount of Glassdoor users’ reported average salary and additional pay, which could include profit sharing, commissions, cash bonuses, or tips. Generally, you can expect to earn a salary that is higher than average as a data engineer. The average total pay for a senior data engineer, meanwhile, is $154,989 a year. How much do data engineers make?Īccording to Glassdoor, the total annual pay a data engineer earns is $111,998, including base salary and additional pay like bonuses and profit sharing. In a career as a data engineer, you’ll combine cutting-edge technical skills with creativity and often do so in business-critical applications. As a data engineer, you may do some or all of the following:ĭesign indexes on data stores (where queries will be fast)Ĭhoose the best storage technology ( SQL or NoSQL)Įnsure that the datastore is up-to-date and replicating it across multiple machinesĪnalyze and optimize database performance Together, these professionals have the expertise to collect and manipulate data others use to achieve critical business objectives.ĭata engineer responsibilities vary widely by organization. As a data engineer, you might be responsible for a SQL data store and a MongoDB NoSQL data warehouse, where you’ll take care of all the activities that have to do with ensuring that data is accessible.ĭata engineers are also part of a team that includes software engineers and developers, data analysts, and designers. They build and maintain applications' databases and manage the infrastructure that allows them to run. What does a data engineer do?ĭata engineers are responsible for the engineering behind the systems that store, extract, and process data. In this guide, you’ll learn what data engineers do, what can affect data engineer salaries, and how you can get started on this exciting career path. According to Glassdoor, data engineers often earn an annual salary of over $110,000 a year. That has consequently increased the demand for database engineer skills and experience. ![]() ![]() It's easier than ever to collect, store, and analyze massive amounts of data. Data engineers help companies make sense of big data with SQL, NoSQL, or hybrid infrastructures. As a data engineer, your role is to organize databases and data warehouses, and optimize them for data storage and retrieval. ![]()
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