Data Engineer - Mts/smts/lmts

Salesforce

San Francisco, California, United States
Base: $117,200 - $260,100 annually; bonus/equity: ...
5+ years data engineering experience
Python and distributed frameworks proficiency
Feature store technologies implementation
The role involves designing scalable features serving offline, online, and streaming ML use cases to power the company's machine learning ecosystem

Job Summary

  • The role involves designing scalable features serving offline, online, and streaming ML use cases to power the company's machine learning ecosystem.
  • Candidates will collaborate closely with data scientists and ML engineers to streamline feature discovery, definition, and deployment workflows.
  • Salesforce offers a comprehensive benefits package including time off programs, medical, dental, vision, mental health support, and an employee stock purchasing program.

Matching Summary

The role involves designing scalable features serving offline, online, and streaming ML use cases to power the company's machine learning ecosystem.

Salary

Base: $117,200 - $260,100 annually; Bonus/Equity: Not specified; Benefits: Medical, dental, vision, 401(k), paid parental leave

Skills & Requirements

Must-have

  • 5+ years data engineering experience
  • Python and distributed frameworks proficiency
  • Feature store technologies implementation
  • Streaming data platforms expertise
  • Cloud environment and IaC tools knowledge

Nice-to-have

  • Salesforce ecosystem experience
  • Context engineering for AI systems
  • Vector or graph database knowledge
  • RAG pipeline development
  • Collaborative mindset and ownership

Key Requirements

  • Bachelor's or Master's degree in Computer Science or related field
  • 5+ years of experience in data engineering roles
  • Experience with cloud environments (AWS preferred)

Work Rights

Not specified

Tailored Resume

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