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64 open positions · Updated 1 day ago
64 Hadoop roles across 11 companies, most in Data Engineering; 25% fully remote; typical advertised salary $180k
Who is hiring (11 companies)
Work arrangement: 16 fully remote · 21 hybrid · 4 on-site · 23 not stated
Advertised salaries: p25 $153.7k · median $180k · p75 $190.9k (from 38 disclosed annual salaries, USD)
Counts are open roles Joblaze currently tracks on company career pages for this exact skill/location; salaries are advertised minimums, annual, converted to USD.
Showing 20 of 64 positions
Search with filters →Join Dataiku as a Senior Data Scientist to co-design AI solutions and drive business outcomes across various industries.
Join Databricks as a Partner Solutions Architect to enable partners and customers in leveraging the Databricks Data + AI Platform.
Join Verse as a Senior Software Engineer to build and maintain cutting-edge data platform tools for the AI economy in a fully remote environment.
Join Redpanda as a Solutions Architect to ensure customer success with data streaming solutions in a remote-first environment.
Join Acceldata as a Senior Solutions Consultant to lead ODP deployments with a focus on architecture and security.
Join Acceldata as a Senior Solutions Consultant to lead ODP deployments with a focus on architecture and security.
Lead a team of 15-20 engineers to deliver high-quality software and drive engineering excellence at Acceldata.
Join as a Senior Solutions Consultant to lead xLake Platform deployments with a focus on architecture and security.
Join Dataiku as a Technical Account Manager to support strategic clients in operationalizing AI with a focus on technical guidance and relationship management.
Join Dataiku as a Technical Account Manager to support strategic clients in operationalizing AI with a focus on technical guidance and relationship management.
Join Pinterest as a Sr. Machine Learning Engineer to build cutting-edge technology that personalizes user experiences for millions.
Join Databricks as a Senior Solutions Architect to lead data-driven outcomes for customers using the Databricks Lakehouse Platform.