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Apache Spark Jobs in New York
19 open positions · Updated 3 days ago
19 Apache Spark roles across 5 companies, most in Data Engineering; 5% fully remote; typical advertised salary $182k
Who is hiring (5 companies)
Work arrangement: 1 fully remote · 7 hybrid · 1 on-site · 10 not stated
Advertised salaries: p25 $180.7k · median $182k · p75 $191k (from 15 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 19 of 19 positions
Search with filters →Join Databricks as an Associate Forward Deployed Engineer to work with enterprise customers on data and AI solutions.
Join Palantir as a Software Engineer intern to work on data processing infrastructure and tackle real-world problems.
Join a software engineering team at Palantir to work on data processing infrastructure for critical applications.
Join Databricks as a Strategic Enterprise Account Executive to drive sales in large Healthcare accounts remotely.
Join Faire as a Staff Data Infrastructure Engineer to design and build data pipelines that empower teams across the company.
Work with customers to build and productionize data and AI solutions using the Databricks Platform.
Join Databricks as a Strategic Enterprise Account Executive to drive sales in the Financial Services sector.
Join Peregrine as a Staff Data Infrastructure Engineer to architect and build systems for real-time operational data at scale.
Lead multiple engineering teams in building critical infrastructure at Stripe, balancing reliability, scalability, and developer experience.
Work with federal government customers to build and productionize data & AI solutions using the Databricks platform.
Lead technical engagements and solution design for customers using Databricks' Data Intelligence Platform.
Lead impactful customer technical projects by delivering production-grade systems using the Databricks platform.
Lead impactful customer technical projects by delivering production-grade systems using the Databricks platform.
Lead the growth of Databricks Unified Analytics Platform by providing technical leadership and consulting for financial services clients.
Lead impactful customer technical projects by delivering production-grade systems using the Databricks platform.