NSS Alumni Forge A Path In Data Engineering | Stories From The Hackery
Update: 2025-07-30
Description
In this episode of Stories from the Hackery, we explore the emerging field of data engineering with NSS alumni Teresa Whitesell and Joshua Rio-Ross. They share their career journeys and how their education in data analytics and data science set a solid foundation for their data engineering roles. Teresa discusses the critical role of data engineering in healthcare, while Joshua describes his experiences in both healthcare and FinTech data engineering. They also delve into the distinctions between data engineering, data analytics, data science, and software engineering, and offer advice for those considering a career in data engineering.
00:00 Introduction to Stories from the Hackery
01:27 Meet Teresa Whitesell: From A Desire to Work with Data to a Career in Data Engineering
05:52 Joshua Rio-Ross: From Academics to Data Engineer
12:20 What is Data Engineering
17:55 The Overlap of Data Engineering and Software Engineering
20:48 The Importance of Analytics in Data Engineering
28:16 Systems Building vs. Answering Questions
31:03 Understanding Industry-Agnostic Data Engineering Skills
32:18 NSS’s Data Engineering Bootcamp
33:23 Choosing Between Data Engineering and Other Pathways
36:35 The Role of Data Engineers in Organizations
40:36 The Impact of Generative AI on Data Engineering
53:55 Technology Guilty Pleasures
58:20 Conclusion and Final Thoughts
00:00 Introduction to Stories from the Hackery
01:27 Meet Teresa Whitesell: From A Desire to Work with Data to a Career in Data Engineering
05:52 Joshua Rio-Ross: From Academics to Data Engineer
12:20 What is Data Engineering
17:55 The Overlap of Data Engineering and Software Engineering
20:48 The Importance of Analytics in Data Engineering
28:16 Systems Building vs. Answering Questions
31:03 Understanding Industry-Agnostic Data Engineering Skills
32:18 NSS’s Data Engineering Bootcamp
33:23 Choosing Between Data Engineering and Other Pathways
36:35 The Role of Data Engineers in Organizations
40:36 The Impact of Generative AI on Data Engineering
53:55 Technology Guilty Pleasures
58:20 Conclusion and Final Thoughts
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