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Sql Jobs in Toronto
48 open positions · Updated 1 day ago
48 Sql roles across 18 companies, most in Data Science; 13% fully remote; typical advertised salary $77.9k
Who is hiring (18 companies)
Work arrangement: 6 fully remote · 31 hybrid · 2 on-site · 9 not stated
Advertised salaries: p25 $69.3k · median $77.9k · p75 $102.5k (from 30 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 48 positions
Search with filters →Join Lyft as a senior backend engineer to enhance road safety through innovative telematics solutions.
Join Airbyte as a Senior Technical Account Manager to drive customer success in the data infrastructure sector.
Join Shift Technology as an Applied Data Scientist/Engineer to develop AI solutions for fraud detection and automation in a hybrid work environment.
Lead Lyft's B2B marketing technology stack, driving solution design and integration while leveraging AI for enhanced operations.
Join Valence as a Senior Data Scientist to shape data-driven decisions and insights for AI-powered coaching tools.
Join Dominion Dynamics as a Senior Fullstack Engineer to build systems for defense capabilities in challenging environments.
Lead the technical direction of ToolHound, a profitable asset management platform, focusing on AI integration and team growth.
Join Beacon Software as a Forward Deployed Engineer to embed with portfolio companies and deliver impactful software solutions.
Join EliseAI as a Product Solutions Analyst to enhance client experiences in housing and healthcare through AI integration.
Join Doppel as a Software Engineer to build scalable backend systems that protect against digital threats.
Join Instacart as a Senior Software Engineer to build scalable backend systems for marketing platforms in a fully remote role.
Lead a small team of analysts at Lyft to ensure accurate and reliable financial reporting while driving process improvements and automation.
Join Lyft as a Financial Analyst to drive accurate financial analysis and support strategic decision-making in a collaborative environment.
Join Lyft as a Senior Fraud & Risk Analyst to develop strategies that prevent and mitigate fraud in a fast-paced environment.
Join Lyft as a Data Analyst to drive insights and improvements for driver earnings products in a collaborative hybrid environment.
Lead data analytics efforts to enhance customer support experience at Lyft, collaborating with cross-functional teams.
Join Lyft's People Analytics team as a Data Analyst to influence AI-powered analytics and reporting in a hybrid work environment.
Lead analytics for Lyft's airport marketplace, leveraging data to drive product enhancements and business decisions.