Live market data for Data Engineering — see salary ranges, hiring trends, top companies, and where to learn it fast.

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Data

Data Engineering

Last updated: September 14, 2026

/ 100 demand

Rising

Exceptional demand — companies competing for talent

Market Demand92/100Rising

US Median Salary

$142k

US Job Openings

29k

30-day Trend

+4.8%

90-day Trend

+12.6%

AI-estimated market figures, not a live jobs database

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Where to Learn Data Engineering

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Salary Range by Experience

$108k

Entry (0–2 yrs)

$142k

Median (3–6 yrs)

$185k

Senior (7+ yrs)

Career earnings trajectory: entry → senior pays +$77k more (71% growth over career)

Why This Skill Is in Demand

Companies need reliable pipelines, governed data platforms, and analytics-ready datasets to support BI, AI, and operational reporting. Demand is especially strong where organizations are modernizing from legacy warehouses to cloud-native lakehouse architectures.

AI automates some routine ETL and schema work, but it increases demand for engineers who can build trustworthy data foundations for AI applications. Skills in orchestration, governance, and observability become more valuable as automation rises.

Future Outlook

15+ yearsestimated market relevance

Data engineering should remain a core function as long as businesses depend on large-scale data products and AI systems. The role will increasingly emphasize platform engineering, data quality, and real-time processing.