Big Data Engineer in Chicago, IL

Big Data Engineer Job Description

Big data engineers are liaisons between business users and data scientists. They are designers and curators of databases and know how to get results from vast amounts of data quickly. They have impeccable data mining, strategic and communication skills, as they interpret business objectives and translate them into data-processing workflows. They develop, maintain, test, and evaluate software platforms and large-scale data processing systems within organizations, ensuring that data pipelines are scalable, efficient and secure. A big data engineer must have considerable expertise in statistics software engineering, building high-performance algorithms and programming, ideally in Python or Java and NoSQL technologies. The role requires coding expertise and enterprise architecture and data science knowledge. Employers often require a bachelor’s degree in a related field and four to six years of experience.

Typical big data engineer duties:

Gathering, storing and processing raw data and translating analyses for acquisition and integration

Applying technologies to solve big data problems and develop innovative big data solutions

Performing end-user analysis to formulate a clear understanding of the business needs and incorporate these needs into technical solutions

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Apache Spark

HDFS

Apache Kafka

Sqoop

Python

Hadoop Hive

Apache Hadoop

AWS Technologies

Big Data

Cluster Analysis

Salary for Big Data Engineer in Chicago, IL

151280 - 216070

25th percentile

151280

New to the role, with little or no experience; requires more than casual instruction or supervision to perform day-to-day duties

50th percentile

185380

Has the experience to consistently perform core responsibilities without direct supervision; very comfortable with processes and subject matter associated with the role

75th percentile

216070

Value to the organization goes far beyond the ability to perform normal job duties; has rare qualifications that enable consistent contribution in unique ways; ready for next career level when available

Projected salaries for related positions

Position title

25th percentile

50th percentile

75th percentile

AI Architect

163680

203050

226920

Data Architect

166780

203360

231260

Data Scientist

147560

178870

207080

Database Manager

151590

182900

210800

Database Developer

133300

161820

183210

Database Administrator

109740

144150

165230

Business Intelligence Analyst – Technology

125550

153450

181660

Data Analyst – Technology

115320

140430

166160

Data Warehouse Analyst

110670

135780

166470

Report Writer

87110

106640

127720

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