Curious where your role stands in the job market? Here’s a breakdown of salary trends and job share across three major data disciplines in 2025.
Data Engineers have become the most in-demand role in 2025, reflecting the industry’s shift toward infrastructure, pipelines, and data tooling. Analysts still occupy a significant portion of roles due to ongoing business intelligence needs, while Data Scientists are more specialized.
Entry-level data professionals see strong starting pay, but skill depth and role specialization drive dramatic increases at the senior level. Engineers and Scientists with technical depth command top-tier compensation, while Analysts see steady but moderate growth.
Salaries are highest in traditional tech hubs like San Francisco and New York, where cost of living and demand drive up compensation. Remote roles still offer strong pay but average $7K less than in-office counterparts due to geographic flexibility.
Core skills like SQL and Python remain foundational, but modern tools like Spark and Kubernetes offer a clear salary premium. Upskilling in distributed computing and orchestration tools leads to substantial compensation gains.
Data Engineering salaries have risen sharply from 2020 to 2025, reflecting the growing need for infrastructure expertise. Analyst and Scientist salaries have grown more steadily, with a slight plateau for scientists in recent years.
Demand for Data Engineers now outpaces other roles, driven by cloud migrations and the rise of real-time pipelines. Analyst roles remain consistently strong, while Data Scientist demand has stabilized.
A Master’s degree continues to deliver ROI, boosting salaries by over $15K on average for analyst positions. Bootcamp grads are competitive, often earning more than bachelor-only candidates when paired with portfolio experience.
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