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

Summary

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.

Tasks

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 salary.com, 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.