Data Engineer

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 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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Salary for Data Engineer

125750 - 179500

25th percentile

125750

The candidate is new to the role and building the needed skills, experience and autonomy.

50th percentile

154000

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

179500

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

134750

164250

187000