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20 open positions · Updated 1 day ago
20 Snowflake roles across 8 companies, most in Data Engineering; 5% fully remote; typical advertised salary $123.4k
Who is hiring (8 companies)
Work arrangement: 1 fully remote · 12 hybrid · 7 not stated
Advertised salaries: p25 $106.7k · median $123.4k · p75 $148.5k (from 19 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 20 positions
Search with filters →Join Okta as a Senior Software Engineer to build and optimize high-performance data platform services.
Join Braze as a Staff Software Engineer to lead the User Targeting team in building scalable systems for customer engagement.
Join Braze as a Software Engineer II to enhance the Data Lakehouse team's capabilities in managing vast data infrastructures.
Join Braze as a Senior Software Engineer to enhance the Data Lakehouse team's capabilities in managing large-scale data infrastructure.
Join Databricks as a Solutions Architect to lead technical strategies for major financial services and insurance accounts in Toronto.
Lead Lyft's B2B marketing technology stack, driving solution design and integration while leveraging AI for enhanced operations.
Join Beacon Software as a Member of Technical Staff to build a robust data platform for a growing portfolio of SaaS companies.
Join Braze as a Senior Software Engineer II to impact customer success through scalable data integration and transformation solutions.
Join Faire as a Staff Engineer to lead the development of a centralized experimentation platform for a thriving local retail community.
Join Okta as a Staff Software Reliability Engineer to design and build scalable data platform services in a hybrid work environment.
Join Fivetran as a Staff Software Engineer to enhance data activation capabilities in a collaborative, hybrid team environment.
Own the technical vision of Faire’s ML platform, leading cross-functional initiatives to enhance data science velocity at scale.