What is Data Engineering and how common is it in AI job postings?

Data Engineering is a skill in the "Data Engineering" category. It currently appears in 380 active AI roles across 103 companies in our index.

Which companies are hiring for Data Engineering?

The top employers with active AI roles mentioning Data Engineering are: Amazon (35), Deloitte (19), JPMorgan Chase (17), Oracle (15), Microsoft (15).

Is demand for Data Engineering growing?

Over the last 13 weeks, 257 new AI postings mentioned Data Engineering. Demand is rising — up 208% in the last four weeks compared to the earliest four weeks in the window.

At which stage of AI development is Data Engineering used?

Roles requiring Data Engineering are concentrated in: agents (54%), data (17%), application (11%). These stages follow a seven-stage AI lifecycle from data preparation through to shipped product.

What skills are commonly paired with Data Engineering?

Job postings that mention Data Engineering most often also require: Machine Learning, Python, Agentic Systems, Large Language Models (LLMs), Data Science.

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Data Engineering

380 active AI roles across 103 companies mention Data Engineering. Category: Data Engineering.

Demand trend

New AI postings mentioning Data Engineering per week — 257 total over 13 weeks.

Function

All Engineering · 320 Product · 33 Research · 31

Status

All Active only

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AI score Recently posted Company A–Z

FilteredsectorConsumer×functionEngineering×Clear all

14 AI roles requiring this skill.

Company	Title	Sector	AI score	Stage
Pinterest	Director, Machine Learning Engineering – Content & User Understanding	Consumer	9	L6
Lime	Engineering Manager, Lime Vision	Consumer	8	L6
Instacart	Senior Software Engineer I — Agentic Analytics	Consumer	8	L4
Discord	Senior Software Engineer, Machine Learning (Ads)	Consumer	8	L4
DoorDash	Director of Engineering, Logistics	Consumer	8	L3
Airbnb	Senior/ Manager, Machine Learning, Community Support Products	Consumer	8	L6
Lime	Engineering Manager, Lime Vision	Consumer	7	L6
Pinterest	Staff Machine Learning Engineer, Programmatic Ads	Consumer	7	L4
Reddit	Senior Staff Machine Learning Engineer, Feed Relevance	Consumer	7	L6
Zillow	Senior Machine Learning Engineer	Consumer	7	L4
Uber	Senior Software Engineer, Uber AI Solutions	Consumer	7	L0
Roblox	Principal Data Scientist - Safety	Consumer	7	L5
Reddit	Principal Data Scientist, Ads	Consumer	7	L6
DoorDash	Staff Software Engineer, Machine Learning - Personalization	Consumer	7	L6

Frequently asked questions

What is Data Engineering and how common is it in AI job postings?
Data Engineering is a skill in the "Data Engineering" category. It currently appears in 380 active AI roles across 103 companies in our index.
Which companies are hiring for Data Engineering?
The top employers with active AI roles mentioning Data Engineering are: Amazon (35), Deloitte (19), JPMorgan Chase (17), Oracle (15), Microsoft (15).
Is demand for Data Engineering growing?
Over the last 13 weeks, 257 new AI postings mentioned Data Engineering. Demand is rising — up 208% in the last four weeks compared to the earliest four weeks in the window.
At which stage of AI development is Data Engineering used?
Roles requiring Data Engineering are concentrated in: agents (54%), data (17%), application (11%). These stages follow a seven-stage AI lifecycle from data preparation through to shipped product.
What skills are commonly paired with Data Engineering?
Job postings that mention Data Engineering most often also require: Machine Learning, Python, Agentic Systems, Large Language Models (LLMs), Data Science.

Data Engineering

Top employers

Often paired with

Demand trend

Frequently asked questions

Data Engineering

Top employers

Often paired with

Demand trend

Frequently asked questions