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71 open positions · Updated 3 days ago
71 Dagster roles across 51 companies, most in Data Engineering; 23% fully remote; typical advertised salary $187k
Who is hiring (51 companies)
Work arrangement: 16 fully remote · 16 hybrid · 9 on-site · 30 not stated
Advertised salaries: p25 $167.5k · median $187k · p75 $200k (from 27 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 71 positions
Search with filters →Join Snorkel AI as a Senior/Staff AI Engineer to build infrastructure for large-scale AI experimentation and production systems.
Own Commure's data warehouse platform end-to-end, designing and operating CDC pipelines and analytics tooling.
Join RevenueBase as a Data Engineer to build and maintain reliable data pipelines in a fully remote, growth-stage company.
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 Doctronic as the first dedicated data engineer, owning end-to-end data processes across the organization.
Join CuspAI as a Data Engineer to build data pipelines that empower scientists in materials science research.
Own the architecture and rollout of Neko's internal AI developer platform in a hands-on technical leadership role.
Design and maintain critical data pipelines and infrastructure for a fast-growing cybersecurity company.
Shape the architecture and drive the technical direction of Perplexity's data ecosystem as a senior member of the Data Platform team.
Join Patreon as a Staff Software Engineer to architect and build scalable data infrastructure for a leading creator platform.
Join Factory as a Data Engineer to architect and evolve the data stack for real-time business insights.
Join Enigma as a Senior Data Engineer to shape the future of small business intelligence products with a focus on data accuracy and scalability.
Lead the Analytics & Data Engineering function at a fast-growing AI startup, driving data insights and infrastructure from the ground up.
Lead and grow a team of data platform engineers to build scalable data infrastructure for high-velocity experimentation.