Extract. Transform. Read.A newsletter from Pipeline Hi past, present or future data professional! Winter in the western hemisphere is grim. Even in sunny Florida, where I write from, we’ve experienced weeks of gray skies and plunging temperatures. In the corporate world, winter (Q1) presents another grim reality: Layoffs. Unfortunately, no position, no matter how “critical to the organization” is layoff-proof. Even your CEO can be let go; hence, the “golden parachute” many executives build into their contracts in the event they are unable to fulfill lofty annual goals. In addition to the conventional “clean out your desk” immediate termination, there are other procedures that many consider to be "soft" layoffs:
It’s tempting to shrug and say “What can you do?” To me, the answer is contingency. 40% of workers will experience a layoff at some point in their careers. Understand that tech and high-paying data engineering roles (especially those that don’t directly generate revenue) can be targets in tough times. Once you accept that, you can create an escape plan that involves, broadly:
Most importantly, it’s not a bad idea to conceptualize an “action plan” that can be triggered with the first hint of downsizing. I literally keep a folder on my personal computer called “in_case_of_layoff.” For the contents of that folder and how to craft your own action plan, read “Break Glass in Case of Layoff." While there is a lot of optimism surrounding the bounce back of the technical market this year, there is also some turbulence ahead. Just like you would on an airplane, take a minute to review your emergency plan and hang in there until you reach your next cruising altitude. Thanks for ingesting, -Zach Quinn |
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Hi fellow data professional! Quick question: How much could I pay you to switch your job? Conventional wisdom in the tech industry in the last handful of years is that the way to supercharge growth and max out your career earnings is to frequently change jobs. On average, job switchers could and should target an increase of 15-20% of their current salary. But in a rocky economy (at least here in the U.S.), career experts are urging would-be switchers to consider the benefits of a stable role...
Hi fellow data professional and Happy New Year! In the second half of 2025, I made a radical choice: I (largely) stopped blogging. Over the past year, Medium (where I host my content) made a series of changes that de-prioritizes technical content, leading to the departure of several major publications, including Toward Data Science. Pair that platform disillusionment with a bit of burnout, and the result is a feeling that it’s time for a change. For 75+ weeks, I’ve preferred concise,...
Hi fellow data professional - Merry Christmas and Happy Holidays! Since an email is probably one of the least exciting things to open on Christmas morning, I'll keep this brief. As a thank you for subscribing and reading the newsletter this year, I'd like to offer a gift: My FREE guide to web scraping in Python. Centered around 3 "real world" projects, the guide highlights the importance of being able to retrieve, interpret and ingest unstructured data. Get your guide here. Have a restful...