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×functionEngineering×Clear all

52 AI roles requiring this skill.

Company	Title	Sector	AI score	Stage
NVIDIA	Senior Software Engineer, DGX Cloud AI Infrastructure	Semiconductors	9	L3
NVIDIA	Machine Learning Applications and Compiler Engineer, LPX - New College Grad 2026	Semiconductors	9	L3
NVIDIA	Senior Software Engineer, AI Inference Systems	Semiconductors	9	L3
NVIDIA	Principal High-Performance LLM Training Engineer	Semiconductors	9	L1
NVIDIA	Senior Machine Learning and Simulation Engineer - Autonomous Vehicles	Semiconductors	9	L2
NVIDIA	Senior Software Engineer - Agentic Memory	Semiconductors	9	L4
NVIDIA	Senior HPC and AI Network Software Architect	Semiconductors	9	L3
NVIDIA	Senior Deep Learning Engineer - Model Evaluation & AI Systems	Semiconductors	9	L5
NVIDIA	Senior GPU Networking Architect	Semiconductors	9	L3
NVIDIA	Director of Engineering, End to End Autonomous Driving	Semiconductors	9	L6
Cerebras	Applied Machine Learning Research Scientist	Semiconductors	9	L2
NVIDIA	Senior Software Architect, AI Networking	Semiconductors	9	L3
NVIDIA	Senior Software Architect, AI Networking	Semiconductors	9	L3
Cerebras	Senior Runtime Engineer	Semiconductors	9	L3
AMD	GPU Performance Modeling & Optimization Engineer	Semiconductors	8	L3
NVIDIA	Senior Software Engineer, Applied AI	Semiconductors	8	L4
NVIDIA	Senior Applied AI Engineer	Semiconductors	8	L4
NVIDIA	Senior Applied AI Engineer, Product Simulation	Semiconductors	8	L4
NVIDIA	Senior Applied AI and AI Infrastructure Engineer - Chip Design and DFX	Semiconductors	8	L4
NVIDIA	Senior Systems Engineer, Neural Graphics	Semiconductors	8	L6
NVIDIA	Machine Learning Applications and Compiler Engineer, LPX - New College Grad 2026	Semiconductors	8	L3
NVIDIA	Director, Isaac for Healthcare Engineering	Semiconductors	8	L6
NVIDIA	Senior Software Engineer, Deep Learning Inference	Semiconductors	8	L3
NVIDIA	Senior Software Engineer, AI Networking	Semiconductors	8	L3
NVIDIA	Senior Staff Software Engineer - Agentic Automation	Semiconductors	8	L4
NVIDIA	Principal Deep Learning Communication Architect	Semiconductors	8	L3
NVIDIA	Senior Machine Learning Applications and Compiler Engineer, LPX	Semiconductors	8	L3
NVIDIA	Senior Machine Learning Applications and Compiler Engineer, LPX	Semiconductors	8	L3
NVIDIA	Senior Software Engineer, Quantized Inference	Semiconductors	8	L3
NVIDIA	Senior Design Automation Engineer, Applied AI	Semiconductors	8	L4

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