Data & AI job board
Best Spark Jobs
Specialist job board
Data & AI opportunities
257 open roles · Featured, then most recent
Founding Data Engineer (Pricing/Comps)
Senior QA Data Engineer
Mid-Level Data Developer
#1 - Senior Data Scientist - Databricks - Pricing & Revenue Growth Management
Senior Software Engineer, Data Infrastructure Compute
Especialista Data Engineer (Sr.)
Principal Data Architect - Multi-Cloud (GCP & Azure)
Data Engineer, Finance (R6329)
Analytics Engineer
Machine Learning Engineer II (ROA + LTV ML)
Senior Data Analyst
Staff Data Engineer, Tech Foundations
Staff Software Engineer (Agentic Search) - Crawler
Staff Software Engineer (Agentic Search) - Crawler
Staff Software Engineer (Agentic Search) - Crawler
Senior Lead AI/ML Engineer
[Data Engineer] Senior / Staff MLOps Engineer (Bangkok Based, relocation provided)
Senior Data Engineer -Databricks
Machine Learning Engineer
Machine Learning Engineer
Staff AI/ML Engineer
Principal Data Architect (Data Science)
ML Software Engineer, Routing
Machine Learning / AI Engineer Lead - Databricks - Eng
Looking for Spark jobs? Dataaxy curates Spark roles across data and AI — from fast-growing startups to enterprise teams — so you can focus on the openings that match your skills. Every listing is reviewed and refreshed regularly.
Why Spark skills are in demand
Spark is one of the most sought-after skills for data and AI professionals. Companies hiring for Spark expertise are building data pipelines, analytics, and machine learning products at scale, and they pay a premium for candidates who can ship with it. Browse the latest Spark openings below and apply in a click.
Frequently asked questions
Why Dataaxy
Everything you need for a focused Data & AI job search
Specialist job catalogue
Explore roles across Data Analytics, Data Engineering, Data Science, Machine Learning, and AI.
Focused search tools
Save a search and use job alerts to follow the roles, locations, and work setups that fit.
Public talent profiles
Show recruiters your skills, availability, preferred roles, and work preferences in one place.