The Latest From Pipeline: Your Data Engineering ResourceHi past, present or future data professional! I hope you’ll indulge my sharing of an important career milestone; unfortunately, I’m not retiring with a gold Rolex snug on my wrist. Instead, this week marks 3 years in data engineering. I’m excited about this work-iversary because it marks a period of time in which I’ve been working in data engineering longer than my prior non-data job. If you’ve read my work you know I’ve taken an unconventional path to break into data engineering and to advance to a senior role. Ideating, writing and publishing code, projects and stories has been central to my success in standing out as a candidate with nearly zero pre-job experience. Additionally, here are 3 lessons that have helped me break in, gain proficiency and advance in a competitive and complex role.
To understand how I learned and put these lessons into practice, read the latest here. And if you want to know one of the most surprising lessons I’ve learned in 3 years, read this. Until next time–thanks for ingesting, -Zach Quinn |
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!' Today I’m turning the newsletter over to my friend Ken Jee (writer of AI Survival Guide, creator of Newsletter Hero) to share how he cuts through the noise of shiny AI products to find tools that enhance technical work. My Simple Framework For Adopting AI Tools Ken Jee As new AI tools launch almost daily, a quiet tax is emerging. Decision fatigue. Every new model, agent, or workflow tool carries the same implicit question. Should I switch, or should I go deeper...
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,...