Software Engineer vs Data Scientist Salary: Which Wins in 2026

Software engineer vs data scientist salary: $112K to $144K median, 33.5% vs 15.8% BLS growth, and one clear winner for your teen in 2026. Both careers rank "much faster than average" in BLS projections through 2034. But in 2026, AI tools have changed which entry points actually exist, and the gap between these two paths is wider than most parents realize. This video uses current BLS Occupational Outlook Handbook data to put both careers side by side on salary, education, AI risk, lifestyle, and growth, so you can help your teen make a data-based choice, not a guess. Career breakdowns in this video: Software Developers (HJ-cs-03, SOC 15-1252): $130,160-$144,570 median, +15.8% growth (2024-2034); 1.7 million jobs, ~129,200 annual openings; the builder's path with multiple entry doors from bootcamp to 4-year CS degree Data Scientists (HJ-cs-08, SOC 15-2051): $112,590 median, +33.5% growth (2024-2034); #4 fastest-growing occupation in the entire US economy; smaller labor market (245,900 workers, ~23,400 annual openings) but harder for AI to displace at the entry level Key insight: At the median, software engineers earn more. But at the top 10%, data scientists edge them out ($185K+ vs $180K+). The AI threat is real but seniority-dependent for SWE: junior postings dropped ~67% from 2023 to 2024, while data science roles fell only ~5% in the same disruption wave. ML Engineer and Research Scientist roles grew ~70% in that period. Data Science is marginally safer at entry level; senior software engineers are equally secure. Parent-specific advice: Neither career is disappearing. LinkedIn research on GitHub Copilot found that firms adopting AI coding tools actually increased SWE hiring by 2.9 percentage points. The real risk is passive career choice: picking a path without building AI fluency, domain expertise, or communication skills. Check whether your teen's instinct is to build and ship (Software Engineering) or investigate and explain (Data Science). That one question cuts through every salary table. For SWE-leaning teens: verify they treat AI coding tools as a skill to master, not a shortcut. For DS-leaning teens: verify they enjoy probability and statistics specifically, not just math in general. Either way, Carnegie Mellon, UC Berkeley, and Stanford serve both paths; optionality is real at the school selection stage. 💬 Builder or explorer... which profile fits your teen? Drop it in the comments and I'll reply with a more specific recommendation for your situation. SOURCES: BLS Software Developers: https://www.bls.gov/ooh/computer-and-... BLS Data Scientists: https://www.bls.gov/ooh/math/data-sci... O*NET Software Developers (SOC 15-1252): https://www.onetonline.org/link/summa... O*NET Data Scientists (SOC 15-2051): https://www.onetonline.org/link/summa... LinkedIn Economic Graph (GitHub Copilot hiring impact, Sep 2024):   / early-evidence-on-the-impact-of-generative...   BioSpace (Data Scientist #4 fastest-growing): https://www.biospace.com/job-trends/d... ABOUT HJ: HJ is the career-clarity channel for US parents of teenagers. We cover career paths, BLS-verified salaries, and honest tradeoffs so you can help your teen pick a major with data, not panic. Subscribe for new career deep-dives every week. #SoftwareEngineerVsDataScientist #TechCareers2026 #CareerGuidance #DataScientistSalary #CollegeMajors