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

Data Pipelines is a skill in the "Data Engineering" category. It currently appears in 872 active AI roles across 152 companies in our index.

Which companies are hiring for Data Pipelines?

The top employers with active AI roles mentioning Data Pipelines are: Amazon (100), NVIDIA (55), Google (40), Adobe (39), Salesforce (34).

Is demand for Data Pipelines growing?

Over the last 12 weeks, 625 new AI postings mentioned Data Pipelines. Demand is rising — up 155% in the last four weeks compared to the earliest four weeks in the window.

At which stage of AI development is Data Pipelines used?

Roles requiring Data Pipelines are concentrated in: agents (48%), serving infrastructure (15%), application (11%). These stages follow a seven-stage AI lifecycle from data preparation through to shipped product.

What skills are commonly paired with Data Pipelines?

Job postings that mention Data Pipelines most often also require: Machine Learning, Python, Production ML Systems, System Design, Agentic Systems.

← All skills

Data Pipelines

872 active AI roles across 152 companies mention Data Pipelines. Category: Data Engineering.

Demand trend

New AI postings mentioning Data Pipelines per week — 625 total over 12 weeks.

Function

All Engineering · 760 Research · 72 Product · 42

Status

All Active only

Sort

AI score Recently posted Company A–Z

FilteredsectorSemiconductors×functionResearch×statusActive only×Clear all

11 AI roles requiring this skill.

Company	Title	Sector	AI score	Stage
NVIDIA	Senior Scientist, Synthetic Data Generation	Semiconductors	10	L0
NVIDIA	Research Scientist, Efficient Deep Learning - New College Grad 2026	Semiconductors	9	L2
NVIDIA	Senior Scientist, Synthetic Data and Privacy	Semiconductors	9	L0
NVIDIA	Senior Data Scientist - Security and Networking Research	Semiconductors	9	L4
NVIDIA	Senior Applied Deep Learning Scientist - Large Vision Language Models	Semiconductors	9	L2
NVIDIA	Senior Applied AI Researcher, Digital Biology	Semiconductors	9	L4
NVIDIA	Research Scientist, Generative AI for Physical AI - PhD New College Grad 2026	Semiconductors	9	L1
NVIDIA	Research Scientist, AI for Graphics and Gaming - New College Grad 2026	Semiconductors	9	L2
NVIDIA	Senior Research Scientist, Efficient Deep Learning	Semiconductors	9	L2
NVIDIA	Senior Research Engineer - Autonomous Vehicles	Semiconductors	9	L2
AMD	Sr. Manager Software Development	Semiconductors	7	L6

Frequently asked questions

What is Data Pipelines and how common is it in AI job postings?
Data Pipelines is a skill in the "Data Engineering" category. It currently appears in 872 active AI roles across 152 companies in our index.
Which companies are hiring for Data Pipelines?
The top employers with active AI roles mentioning Data Pipelines are: Amazon (100), NVIDIA (55), Google (40), Adobe (39), Salesforce (34).
Is demand for Data Pipelines growing?
Over the last 12 weeks, 625 new AI postings mentioned Data Pipelines. Demand is rising — up 155% in the last four weeks compared to the earliest four weeks in the window.
At which stage of AI development is Data Pipelines used?
Roles requiring Data Pipelines are concentrated in: agents (48%), serving infrastructure (15%), application (11%). These stages follow a seven-stage AI lifecycle from data preparation through to shipped product.
What skills are commonly paired with Data Pipelines?
Job postings that mention Data Pipelines most often also require: Machine Learning, Python, Production ML Systems, System Design, Agentic Systems.

Data Pipelines

Top employers

Often paired with

Demand trend

Frequently asked questions

Demand trend

Data Pipelines

Top employers

Often paired with

Frequently asked questions