Reaching 20k+ readers on Medium and nearly 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 #13] A 3-Step Python Script To Write Less Cover Letters
Extract. Transform. Read.A newsletter from Pipeline: Your Data Engineering ResourceHi past, present or future data professional! Somewhere along your professional development journey someone lied to you. They told you to crank out resumes because no one reads cover letters. This couldn’t be further from the truth as 87% of hiring managers read cover letters. Such a high read rate represents a compelling opportunity to sell your data skills and showcase a bit of personality. The problem? Those pesky 3 paragraphs take way too long to write—as long as 30 minutes per job. Assuming you’re applying to 3-5 jobs per day, you’re looking at 2.5 hours of cover writing time. Earlier this year, while helping a friend apply for data science positions, I created a simple Python script to auto-generate cover letters based on input. In addition to generating a cover letter based on my more than 500 hours as a career advisor, it will convert your output to a PDF, the preferred format for cover letters and resumes. Even if this helps you generate cover letters faster, you might want to think twice about “spamming” your resume/cover letter. Only use a bulk application method if:
Since I’m not trying to ask you to spend 30 minutes on this email, here are this week’s links:
Finally, this week is significant to me because 9/13 marks 3 years in data engineering. Read my story and advice for following a similar path. Why I Nearly Turned Down A 30k Raise And A Data Engineering Job Questions? You know where to find me: zach@pipelinetode.com. Until next time - thanks for ingesting, -Zach Quinn |
Extract. Transform. Read.
Reaching 20k+ readers on Medium and nearly 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.
Extract. Transform. Read. A newsletter from PipelineToDE Hi past, present or future data professional! I want to share the single most important realization I had back in the summer of 2021. I was burned out, juggling two part-time jobs, trying to plan a wedding, and drowning in full-time job applications. I felt overwhelmed and underprepared as I plunged into a sea of candidates I perceived to be more intelligent and better "fits" than me. My portfolio was full of the usual Titanic, Iris,...
Extract. Transform. Read. A newsletter from PipelineToDE Hi past, present or future data professional! One of the most validating and terrifying professional moments is reaching the final interview round. It is in this context that you meet candidacy’s final boss, who incidentally, usually ends up being your boss' boss. Specifically I’m referring to the department executive responsible for bringing in additional headcount, i.e. you. While this may sound intimidating, the role of the executive...
Extract. Transform. Read. A newsletter from PipelineToDE Hi past, present or future data professional! If you’re a job seeker in the data space, your GitHub portfolio has only one job: To act as a calling card that gets you to the next step of the hiring process. Too often, I review portfolios for potential referrals and see brilliant code buried under structural mistakes that have nothing to do with programming skill. Your GitHub is not just cloud storage for your code; it’s a public display...