How data engineers work with other teams

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Data engineering is becoming an increasingly important part of every company, but the role itself varies significantly depending on the business. In fact, data team structures vary significantly as well.

So, what are best practices for data engineers in collaborating with other teams?

The first question is the size of the company. At a startup, the development team often plays the role of data engineering as well, where in the enterprise there might be a centralized, self-contained data team.

It’s also important for data engineers and their managers to know which specific data engineering skill set fits where. Here’s a quick glance at the high-level types of data engineers:

The Wrangler - works with existing tools, primary warehouse user

The Plumber - builds their own tools and pipelines, works with APIs

The Planner - Project manager, technical data stakeholder

To dig deep into the data engineering needs of companies as they scale as well as where specific types of data engineers fit into the picture, check out our on-demand tech

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