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Data Engineer in Chicago, IL

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 data engineer duties:

Gathering, storing and processing raw data and translating analyses for acquisition and integrationApplying technologies to solve big data problems and develop innovative big data solutionsPerforming end-user analysis to formulate a clear understanding of the business needs and incorporate these needs into technical solutions

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Salary for Data Engineer in Chicago, IL
153415 - 218990
25th percentile
153415
The candidate is new to the role and building the needed skills, experience and autonomy.
50th percentile
187880
The candidate has the experience to perform core responsibilities without direct supervision and is comfortable with the role’s processes and subject matter.
75th percentile
218990
The candidate delivers value beyond the stated job duties, has advanced qualifications and experience, and is ready for the next career level.
Projected salaries for related positions Position title 25th percentile 50th percentile 75th percentile Data Architect 164395 200385 228140 Data Analyst – Technology 113765 138470 163785 Database Manager 153720 184525 213500 Database Developer 133285 161955 183305 Database Administrator 109190 143655 164700 Business Intelligence Developer 131455 156770 188185 IT Business Intelligence Analyst 124135 151890 179645 Data Warehouse Analyst 111020 136335 167140 Report Writer 87230 106750 127795

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