Reaching 20k+ readers on Medium and over 3k learners by email, I draw on my 4 years of experience as a Senior Data Engineer to demystify data science, cloud and programming concepts while sharing job hunt strategies so you can land and excel in data-driven roles. Subscribe for 500 words of actionable advice every Thursday.
[ETR #19] 1 Question New Data Engineers Can't Ask
Extract. Transform. Read.A newsletter from Pipeline Hi past, present or future data professional! I recently participated in a technical design meeting that was derailed by a single, fundamental question. “Why?” Despite the fact that I worked with the particular data source we were discussing for nearly two years, I fell into the common trap of going “on autopilot” and failing to question the initial need for the data. At this point, you would think asking “why” of years’ worth of work would be offensive. Instead of myself or other team members getting defensive, it led to a productive conversation about not just refining our approach to ingestion, but also inspired talk of how we can manage stakeholder expectations and softly encourage them to “do more with less.” Fortunately, you don’t need to derail a meeting to leverage what I call a productive why. Asking occasional, tactful “whys” can position you as a critical thinker and thought leader (or at least an enthusiastic thought contributor) within your org. When appropriate, consider asking…
I realize you may not be in a professional role; nonetheless, I’ve found a lot of value can result from occasionally asking “why” even when you’re simply writing code. For instance, I was a habitual user of Pandas’ .append() method. Unfortunately, to my disappointment, Pandas 2.0 deprecated .append() in the past year. I easily could have panicked and said “Iterating and appending key values to an empty data frame is how I’ve always converted JSON to a data frame. What am I going to do?” But being forced to adapt to the change made me think about what prompted that habit initially. To learn what that motivation was plus how a simple "why" nearly left me tongue-tied in an interview, read the latest on Pipeline. And so you don’t have to question where those hyperlinks go, here they are as plain text.
Questions? zach@pipelinetode.com Thanks for ingesting, -Zach Quinn |
Extract. Transform. Read.
Reaching 20k+ readers on Medium and over 3k learners by email, I draw on my 4 years of experience as a Senior Data Engineer to demystify data science, cloud and programming concepts while sharing job hunt strategies so you can land and excel in data-driven roles. Subscribe for 500 words of actionable advice every Thursday.
Hi fellow data professional! Once thought to be a purely back office role, data engineering is undergoing a radical transformation and gaining a new responsibility: Front-end deployment. The folks already deploying applications in this capacity are known, incidentally, as forward deployed software engineers or forward deployed engineers (FDEs). Before you worry about needing to learn JavaScript or other web programming paradigms, know that I’m referring to the preparation, deployment and...
Hi past, present or future data professional! As time in 2025 dwindles, I wanted to share what I learned about optimizing design, development and troubleshooting time while working 3 days per week this fall. Quick background: If you’ve been a long-time reader, you’ll know that in March my wife and I had our first child. Consequently, through my employer, I was eligible for several months of parental leave. Anticipating my wife’s return to work (after much needed time off!) I allocated the...
Hi past, present or future data professional! As the winter holidays approach, we’re entering a period of downtime for most orgs. Assuming your employer has hit goals (or accepted losses), allocated coverage for the slew of inevitable vacation requests and maybe even entered a “code freeze”, you’re entering data & tech’s slow season. If you’re working, during this time you may be asked to do any number of “downtime” (actual free time, not data outages) tasks ranging from code refactors to...