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.

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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

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758 AI roles requiring this skill.

Company	Title	Sector	AI score	Stage
Visa	Lead Architect	Fintech	7	L4
Airbyte	Solutions Architect	Data AI	7	L4
Apple	Tech Lead Machine Learning Engineer - Finance	Big Tech	7	L4
Spotify	Senior Staff Machine Learning Engineer, Content Platform	Consumer	7	L6
Salesforce	Senior/Lead/Principal Software Engineer, Agentforce for Supply Chain	Enterprise	7	L4
Capital One	Sr. Lead, Machine Learning Engineer (Enterprise Platforms Technology)	Banking	7	L3
NVIDIA	Principal Software Engineer - DGX Cloud	Semiconductors	7	L4
Adobe	Senior AI Platform Engineer- Data and Systems	Enterprise	7	L4
Socure	Senior Data Scientist - Fraud Data Infrastructure & Automation	Vertical AI	7	L4
Amazon	Senior Data Scientist, JP Seller Services	Big Tech	7	L4
Chewy	Staff Machine Learning Engineer	Retail	7	L3
Capital One	Senior Associate, Data Scientist - Audit Data Science	Banking	7	L2
Netflix	Engineering Manager, Ads Signals & Targeting	Big Tech	7	L4
Salesforce	Senior Software Engineer– Salesforce Full Stack Developer	Enterprise	7	L4
NVIDIA	Senior Solutions Architect - Autonomous Vehicles	Semiconductors	7	L6
Unity	Senior Machine Learning Developer, Advertiser Growth \| Développeur(euse) Sénior en apprentissage machine, Advertiser Growth	Enterprise	7	L4
ByteDance	Recommender System Engineer, AI-Driven (PICO-Lab) - San Jose	Big Tech	7	L6
Socure	Senior Data Scientist - Big Data R&D, Identity Graph & KYC	Vertical AI	7	L4
Unity	Staff Machine Learning Engineer, ML Infrastructure	Enterprise	7	L0
Unity	Staff Machine Learning Engineer, ML Infrastructure	Enterprise	7	L0
Unity	Staff Machine Learning Engineer, ML Infrastructure	Enterprise	7	L0
Unity	Staff Machine Learning Engineer, ML Infrastructure	Enterprise	7	L0
JPMorgan Chase	Compliance - CCOR Risk Management Director - Executive Director	Banking	7	L4
Ford	Studio Engineer (AI & Generative Workflows)	Auto	7	L4
Affirm	Manager, Machine Learning Engineering (Fraud)	Fintech	7	L6
Affirm	Manager, Machine Learning Engineering (Fraud)	Fintech	7	L6
Handshake	Senior Software Engineer, RLE	Enterprise	7	L0
NVIDIA	Principal Software Engineering Lead — Enterprise Data Platforms	Semiconductors	7	L4
Walmart	Principal, Data Scientist, Experimentation Sciences	Retail	7	L5
Apple	Siri, Eval Architect Engineer	Big Tech	7	L5

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