Best Degrees for Data Engineers in 2025

· Source: 365 Data Science · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Data Science & Analytics, Software Development & Engineering · Depth: Fundamental Awareness, medium

Summary

An analysis of 1,000 data engineer job postings from 2025 reveals the top five most sought-after degrees and shifting employer preferences. Engineering degrees lead the list, appearing in 77% of postings, a significant jump from 29% in 2024. Computer Science and Data Engineering degrees are nearly tied at 45% each, though Data Engineering saw a slight decrease from 49% in 2024. Surprisingly, Architecture degrees rank fourth at 32%, while Machine Learning degrees are fifth at 21%. The research also indicates that bachelor's degrees are the industry standard (42% of postings), with 26% of listings not requiring any specific degree, suggesting a growing openness to self-taught professionals with practical skills.

Key takeaway

For CTOs and VPs of Engineering hiring data engineers, prioritize candidates with broad engineering or computer science backgrounds who demonstrate strong problem-solving and adaptability. While specialized degrees have value, the market increasingly favors foundational technical versatility and practical experience over narrow academic focus. Consider candidates without traditional degrees if they possess a robust project portfolio and relevant skills.

Key insights

Broader technical foundations like engineering are increasingly valued over highly specialized degrees for data engineers.

Principles

Method

Analyzed 1,000 data engineer job postings from 2025 to identify degree requirements and employer preferences, categorizing degrees by frequency and evaluating pros/cons.

In practice

Topics

Best for: CTO, VP of Engineering/Data, Data Engineer, AI Student, Director of AI/ML

Related on AIssential

Open in AIssential →

Editorial summary, takeaway, and curation by AIssential. Original article published by 365 Data Science.