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Big Data Engineer

Big data engineers develop, maintain, test, and evaluate big data solutions within organizations. Duties include resolving ambiguities in data, performance optimization, and data extraction.

Sample of Reported Job Titles

Big Data Architect, Big Data Developer, Big Data Analyst, Big Data Administrator, Data Engineer, Principal Engineer – Big Data



Big data engineers operate in a multi-faceted role wherein they act at the intersection of computer science, data manipulation, and engineering. They’re duties include resolving ambiguities in data, performance optimization, data extraction and more. They are responsible for developing, maintaining, testing, and evaluating big data solutions within organizations. Big data engineers have knowledge of the use and implementation of big data frameworks and NoSQL databases.


  • Design, develop, construct, install, test, and maintain data management and processing systems
  • Build scalable, robust, and fault tolerant systems
  • Ensure architecture is planned such that it meets all business goals
  • Reduce system complexity by creating data models
  • Propose ways to improve data quality, reliability, and the efficiency of the system as a whole


Educational Requirements

Big Data Engineering jobs require at least a bachelor’s degree in computer science, data science, mathematics, or a related field.


Salary Information 2023

According to, the average salary for a Big Data Engineer in 2023 was $130,723.


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Information retrieved from Glassdoor: Big Data Engineer Salaries, Edureka: Big Data Engineer Skills, Field Engineer: Big Data Engineer Definition and DataFloq: Big Data Engineer Profile.

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