Whether it flows through business transactions, customer activity, employee productivity or the Internet of Things, data is the lifeblood of most modern businesses. Data leads to information and information leads to better business decisions. Gathering data in a usable framework that can be accessed by decision-makers in a standardized manner is the role of the data engineer.

This hiring kit, written by Mark W. Kaelin for TechRepublic Premium, provides a flexible framework your business can use to find the right person for the job. The kit includes salary details, a job description, interview questions and a job advert.

Featured text from the hiring kit:

DETERMINING FACTORS, DESIRABLE PERSONALITY TRAITS AND SKILLSETS

Beyond technical expertise, solid candidates for a data engineer position should be able to foresee how data will be used by decision-makers. While the data engineer is not required to know the ultimate details — that is a role for data scientists — the best candidates should be perceptive enough to gauge a dataset’s possibilities.

Data architecture cannot be implemented in a vacuum — it must serve business needs. As such, candidates should not only possess impeccable technical expertise and experience, but the best candidates should also have strong communication and collaboration skills, and listening skills are especially important. Constructing a functional data architecture requires input from stakeholders and other decision-makers, further requiring candidates to translate abstract needs into practical applications.

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TIME SAVED: Crafting this content required 20 hours of dedicated writing, editing and research.