SMTS/LMTS Full Stack Software Engineer, Tableau Next

🕒 May 30

🏢🏡 San Francisco – Hybrid

💵 $148.5k - $260.1k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🧑‍💻 Full-stack Engineer

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Salesforce

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1999

☁️ SaaS

🤝 B2B

🤖 Artificial Intelligence

SaaS • B2B • Artificial Intelligence

Salesforce is a leading cloud-based software company that provides a comprehensive customer relationship management (CRM) platform. The platform connects all company data and teams on an integrated, AI-driven system to improve sales, customer service, and marketing efforts. Salesforce offers scalable solutions for businesses of all sizes, including small and medium enterprises, and provides industry-specific solutions to modernize operations, save time, and reduce costs. Salesforce also offers educational resources through Trailhead and a wide selection of apps on AppExchange to extend its CRM capabilities.

📋 Description

• Architect and develop core visualization components and frameworks for the next-gen Tableau product • Optimize large-scale data rendering with Canvas, WebGL • Collaborate with UX designers to implement elegant and intuitive visual representations of complex data • Work collaboratively to design efficient APIs and data-fetching strategies • Drive innovation by exploring and integrating emerging visualization technologies

🎯 Requirements

• 6+ years of industry experience building enterprise-grade distributed systems at scale • Strong computer science foundation including data structures, algorithms, and design patterns • Experience with object-oriented programming languages such as Java and JavaScript • Experience with database technologies including SQL, PL/SQL, relational schema design • Expertise in modern web technologies and frameworks including Node.js, React, HTML5, CSS/SASS, JSON • Proficiency in web technologies and real-time interaction patterns including streaming APIs, WebSockets • Familiarity with data visualization tools like Tableau or similar BI platforms • Understanding of AI reliability and quality practices • Good understanding of AI application architecture

🏖️ Benefits

• time off programs • medical, dental, vision, mental health support • paid parental leave • life and disability insurance • 401(k) • employee stock purchasing program