data engineer

also referred to as: data engineers

9 statements across 9 episodes · 3 bullish · 3 bearish · 9 people on the record · first statement Oct 17, 2018 by Mike Tuchen · across every show →

Everything said about data engineer, oldest first

Oct 17, 2018
Assertion Supported
IDC: Data analysts waste up to three hours daily duplicating work
“Data analysts and data engineers tend to waste around one to three hours per day on duplicating work that someone else has already done.”
Mike Tuchen Oct 17, 2018 ▶ 21:54 Fireside Chat: Mike Tuchen, CEO of Talend (TLND) (FirstMark's Data Driven NYC)
Nov 13, 2019 positive
What-if
Elsamadisi: A working single time-series table eliminates need for 20-30 data engineers
“If a single time series table worked, you wouldn't have 20 or 30 data engineers building tables to answer questions.”
Ahmed Elsamadisi Nov 13, 2019 ▶ 6:47 How to Answer Data Questions Without Being Miserable // Ahmed Elsamadisi, Narrator (Data Driven NYC)
Sep 18, 2020 positive
Assertion Not checkable as stated
Fraser: In-warehouse transformation compute is cheaper than data engineering time
“The additional cost of compute and storage to replicate the extra data, to do those steps, those transformation steps inside the warehouse Are so small now, you know, they're less than what it's going to cost you to pay your data engineer for a week to build y…”
George Fraser Sep 18, 2020 ▶ 12:10 Fireside Chat: George Fraser (Founder & CEO, Fivetran) with Matt Turck (Partner, FirstMark)
Dec 11, 2020
Insight
Handy: Data engineers should focus on scalability, not business logic
“Data engineers shouldn't want to be spending their days expressing business logic. Like how do you amortize revenue across multiple periods? They are technologists. They should want to be thinking about platforms and scalability and all of these like hard tech…”
Tristan Handy Dec 11, 2020 ▶ 47:44 Fireside Chat: Jeremiah Lowin (Prefect), Tristan Handy (dbt) with Matt Turck (Partner, FirstMark)
Jun 21, 2021 negative
Insight
Data engineering complexity is caused by bad tooling obfuscating the process
“If you really break down what a data engineer is, at the end of the day, that their job is to get data from one place to the next, right? So all you really need to know is three things. Where my data's coming from, where my data's going, and what format does i…”
DeVaris Brown Jun 21, 2021 ▶ 15:51 Fireside Chat: DeVaris Brown (Founder & CEO, Meroxa) with Matt Turck (Partner, FirstMark)
Sep 12, 2022
Assertion Not checkable as stated
Kim: Analysts and engineers make up 70% of Select Star's user base
“So today, majority of our user base, I would say about 65 to 70% are data analysts and data engineers.”
Shinji Kim Sep 12, 2022 ▶ 17:02 Automated Data Discovery | Select Star's Shinji Kim
Oct 10, 2022 positive
Insight
Seeing manipulated data directly increases data engineer productivity
“I just think that as a data engineer, if you have to actually go ahead and maintain a pipeline, being able to see the actual data manipulated really increases your productivity.”
Viraj Parekh Oct 10, 2022 ▶ 18:41 Modern Data Orchestration | Astronomer Co-Founders Pete DeJoy & Viraj Parekh
Oct 24, 2022 negative
Assertion Not checkable as stated
Housley: Moving from Hadoop to cloud data stacks has been very tough
“One of the things, one of the transitions that Joe and I went through, which I think a lot of people in this room went through, was the transition from the Hadoop world, from the previous big data world, into this new, like, cloud-based data engineering snack,…”
Matt Housley Oct 24, 2022 ▶ 1:03 Fundamentals of Data Engineering | Joe Reis and Matt Housley
Jan 23, 2025 negative
Prediction Not checkable as stated
Rogojan: Fully replacing data engineers with AI is still years away
“So I think we're a few years away from just like replacing data engineers, which has been the goal for what it feels like a decade or plus now.”
Ben Rogojan (Seattle Data Guy) Jan 23, 2025 ▶ 32:00 Understanding Data Engineering in 2025 | Ben Rogojan, Seattle Data Guy
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