Day: December 23, 2022

Data engineering is a broad field and is often used as a catch-all term to signify a variety of different works. Anything that involves ingestion, storage, processing, or serving of data can constitute data engineering, and the nature of work also varies meaningfully based on the domain of the data. In this article, we focus specifically on data engineering for supporting product experimentation which is rapidly developing to be a necessary core competency for all organizations that aim to be data-driven.

Simply put, experimentation data engineering is the process of designing, building, and maintaining systems and infrastructure for collecting, storing, and analyzing data from experiments.

Sometimes among all the sprints, the pressure to ship faster, tools to measure lines of code written, it seems like we as an industry forget a simple fact: developers are knowledge workers, not robots.

To remind us what it means to be a human, we invited some of the most empathetic engineering leaders we know to Interact and asked them to sit on a panel together. The conversation that followed is one of the most insightful and relevant conversations we've heard all year. Whether you are an IC, manager, or manager of managers, we promise this conversation will help you become a more empathetic leader and colleague.