[ETR Vol. 12] Solve Data Science Unemployment With 1 Email


Extract. Transform. Read.

A newsletter from Pipeline: Your Data Engineering Resource

Hi past, present or future data professional!

Browsing through files recently, I found 100+ old resumes I used to apply for data jobs in 2021. While data science is sold as a “good career”, the truth is it’s always been tough to break in.

Those looking for jobs need to do more than ever to distinguish themselves. For anyone looking for a job you may have been taught to network with recruiters and hiring managers.

But there is a type of connection who might help you even more than a job poster: An early career data (ideally between years 1-3) professional.

Folks like me, who have a few years of industry experience but no hiring authority, often get bombarded with “recruiter spam”, broad messages sent to hundreds of candidates with the hope that a handful will respond. While it’s tempting to delete these messages, you’d be missing a crucial line: “Forward this to anyone you know who might be looking for a role.”

As an added incentive, many of these cold messages include referral bonuses.

When forwarding a connection to recruiters or when asking for a referral, remember:

  • Concisely summarize your peer’s qualifications (1-2 sentences)
  • Tailor your referral to the role sent, not just a general “this person might be good”
  • Emphasize your peer’s domain experience and don’t dwell too much on common technical skills

If you're interested in going deeper, I cover this kind of referral advocacy more in-depth here.

Just because you were lucky to break in doesn’t mean you should be a gatekeeper.

If anything, you should be the first one to answer the door.

Here are this week’s links:

And if you're looking to explore development in virtual environments, check out this week's story.

Set Up A Virtual Environment In A Compute Engine VM In 5 Min.

Thanks for ingesting,

-Zach

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.

Read more from Extract. Transform. Read.

Hi fellow data professional! I learned one of the most important personal branding lessons in the basement of Arizona State University. I was seated at my desk in the Post Office/Writing Center as my coworker, a fellow writing tutor, reviewed my resume. “The content is good, but I won’t remember this. There’s no branding.” She thought for a second. “You know what? Change the font color to navy. Your brand is now blue.” I laughed but she was serious and the interaction imprinted on me not the...

Hi fellow data professional! This edition almost became an apology because I’ve been on a tight deadline and pre-baby morning wake up thinking/writing time has become GSD (get sh!t done) hour. Long story short: I got brought in late to a time-sensitive project that required me to speed through a planned pipeline migration. As a recovering news junkie (aka journalist), I used to live and die by deadlines. But, given the unpredictability of data-oriented work and internal deliverables, it’s...

Hi fellow data professional! For years, the opening of The Simpsons, specifically Bart writing lines on the chalkboard, has been incredibly relatable to me. Not because I’m up to mischief (none I’ll admit to here, anyway), but because I spend most days writing the same three lines of SQL over and over again. If you've ever been paranoid about a table's content, you might know what I'm talking about. It’s the aggregate COUNT(*) grouped by a date field, ordered by date DESC. The output of that...