What is Spark and how common is it in AI job postings?

Spark is a skill in the "Data Engineering" category. It currently appears in 539 active AI roles across 76 companies in our index.

Which companies are hiring for Spark?

The top employers with active AI roles mentioning Spark are: Amazon (124), Capital One (65), Walmart (51), Deloitte (35), Apple (31).

Is demand for Spark growing?

Over the last 12 weeks, 408 new AI postings mentioned Spark. Demand is rising — up 82% in the last four weeks compared to the earliest four weeks in the window.

At which stage of AI development is Spark used?

Roles requiring Spark are concentrated in: agents (42%), application (24%), serving infrastructure (15%). These stages follow a seven-stage AI lifecycle from data preparation through to shipped product.

What skills are commonly paired with Spark?

Job postings that mention Spark most often also require: Machine Learning, Python, Data Science, Statistics, Distributed Systems.

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Spark

539 active AI roles across 76 companies mention Spark. Category: Data Engineering.

Demand trend

New AI postings mentioning Spark per week — 408 total over 12 weeks.

Function

All Engineering · 502 Research · 33 Product · 7

Status

All Active only

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AI score Recently posted Company A–Z

542 AI roles requiring this skill.

Company	Title	Sector	AI score	Stage
Apple	AIML - Applied ML Engineer, Responsible AI	Big Tech	8	L6
Amazon	Sr Manager Research Science, Last Mile Science and Analytics	Big Tech	8	L4
Walmart	Principal, Data Architect	Retail	8	L4
DocuSign	Senior Machine Learning Engineer	Enterprise	8	L4
Rubrik	Data Science Researcher (Part-Time 25%)	Enterprise	8	L2
Walmart	Distinguished, Data Scientist	Retail	8	L4
Walmart	Staff Data Scientists, Conversational AI	Retail	8	L4
Walmart	Expert Data Scientists, Conversational AI	Retail	8	L4
Walmart	Senior Data Scientists, Conversational AI	Retail	8	L2
JPMorgan Chase	AWM Risk Analytics Group – Data Scientist - Vice President	Banking	8	L2
Walmart	Staff, Data Scientist	Retail	8	L4
Databricks	AI Engineer - FDE (Forward Deployed Engineer)	Data AI	8	L4
Databricks	AI Engineer - FDE (Forward Deployed Engineer)	Data AI	8	L4
Amazon	Sr. Applied Scientist, Amazon Ads	Big Tech	8	L6
Microsoft	Member of Technical Staff - Data Research Engineer - MAI Superintelligence Team	Big Tech	8	L0
HeyGen	Software Engineer, AI Compute Infrastructure	Multimodal	8	L3
Capital One	Senior Manager, Data Scientist - US Card (Generative AI Systems)	Banking	8	L6
Samsara	Staff Machine Learning Engineer - Edge AI	Enterprise	8	L3
Samsara	Staff Machine Learning Engineer - Edge AI	Enterprise	8	L3
Cohere	Member of Technical Staff, Synthetic Data	AI Frontier	8	L0
Snorkel AI	Applied AI Engineer - Federal (TS Required)	Data AI	8	L4
Amazon	Sr. Manager, Applied Science, Sponsored Products and Brands	Big Tech	8	L6
NVIDIA	Director, Engineering – Software Engineering and AI Inferencing Platforms	Semiconductors	8	L3
Amazon	Senior Applied Scientist, Translation Services	Big Tech	8	L2
Amazon	Sr. Applied Scientist, SSG Science	Big Tech	8	L2
Roblox	[2026] Senior Machine Learning Engineer, Recommendation Systems - PhD Early Career	Consumer	8	L4
HeyGen	Tech Lead, AI Compute Infrastructure	Multimodal	8	L3
Amazon	Sr. Applied Science , AWS Agentic AI	Big Tech	8	L4
Amazon	Senior Applied Scientist, Last Mile Delivery Automation	Big Tech	8	L4
Reddit	Senior Machine Learning Engineer	Consumer	8	L6

Frequently asked questions

What is Spark and how common is it in AI job postings?
Spark is a skill in the "Data Engineering" category. It currently appears in 539 active AI roles across 76 companies in our index.
Which companies are hiring for Spark?
The top employers with active AI roles mentioning Spark are: Amazon (124), Capital One (65), Walmart (51), Deloitte (35), Apple (31).
Is demand for Spark growing?
Over the last 12 weeks, 408 new AI postings mentioned Spark. Demand is rising — up 82% in the last four weeks compared to the earliest four weeks in the window.
At which stage of AI development is Spark used?
Roles requiring Spark are concentrated in: agents (42%), application (24%), serving infrastructure (15%). These stages follow a seven-stage AI lifecycle from data preparation through to shipped product.
What skills are commonly paired with Spark?
Job postings that mention Spark most often also require: Machine Learning, Python, Data Science, Statistics, Distributed Systems.

Spark

Top employers

Often paired with

Demand trend

Frequently asked questions

Spark

Top employers

Often paired with

Demand trend

Frequently asked questions