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Data Pipelines Jobs in New York City
16 open positions · Updated 1 day ago
16 Data Pipelines roles across 11 companies, most in AI/ML; typical advertised salary $184.7k
Who is hiring (11 companies)
Role types
Work arrangement: 9 hybrid · 5 on-site · 2 not stated
Advertised salaries: p25 $153.8k · median $184.7k · p75 $320k (from 12 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 16 of 16 positions
Search with filters →Lead the technical strategy for Headway's Billing System platform, shaping a complex financial platform.
Join Mirage as a Backend Software Engineer to tackle complex technical challenges in an AI-native video platform.
Build production-quality agents and data pipelines on-site with customers as a Forward Deployed Engineer at Redpanda.
Join Crosby as an AI Developer Experience Engineer to enhance developer productivity in building AI features for legal systems.
Join Attentive as a Software Engineer II to build and improve distributed data applications for audience segmentation and personalization.
Join Snorkel AI as a Senior Business Operations Manager to drive strategic initiatives and unlock growth in a hybrid work environment.
Join Decagon as an Agent Deployment Engineer to lead the execution of AI agent builds for enterprise customers in a fast-paced environment.
Join Decagon as an Agent Deployment Engineer to execute AI agent builds for enterprise customers in a fast-paced environment.
Join Rillet as a Customer Support Engineer to resolve customer issues and build scalable support systems in a fast-paced environment.
Join Mirage as a Backend Software Engineer to tackle complex technical challenges in an AI-native video platform.
Join Anthropic as a Staff+ Software Engineer to build and maintain the RL Data Platform for reliable AI systems.
Own the infrastructure for machine learning research to detect and mitigate misuse of AI models at Anthropic.
Lead the Research Data Platform team at Anthropic to enhance data systems for AI research, ensuring usability and trustworthiness.
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