Extract. Transform. Read.A newsletter from Pipeline Hi past, present or future data professional! A peer of mine once revealed the reason they were sleep deprived: They were up past midnight writing ad hoc SQL queries with a c-suite leader literally hovering over their shoulder. The visibility of data analysts (like the one in the anecdote) and data scientists’ products, dashboards and ML models, means they are often the first on a Business Intelligence team to be bothered when something “looks weird.” This deference to the other more visible data teams shouldn’t stop you, the ambitious engineer, from taking on an important but unofficial role: SME, a.k.a. Subject Matter Expert. Being able to not only tell a stakeholder when a data source loaded (or didn’t) but also being the go-to person for questions, vendor outreach and general support, makes you an invaluable resource that goes beyond your job title and ability to “crank out code.” In a bumpy job market, this is key to cementing yourself as a must-retain staff member. To be a true SME you need to not only know your data, but also understand the larger business context which your work contributes to, which typically breaks down into: Resource conservation, performance optimization and revenue generation. For a working data engineer, going from DE to SME involves stepping outside of your comfort zone by:
If you’re not currently working in a data engineering role or are still in the job search phase, you can be an SME by narrowing your search to focus on industries or “domains” in which you have proven experience. For more information on how to apply that experience, read this guide. Anticipating business and stakeholder needs means less late nights and, more importantly, a little breathing room. 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! 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...