Data Engineer

Salesforce

Mexico City, Mexico
Spark, trino, flink, kafka, dbt
Scalable systems for product signals
Fault tolerant batch and streaming pipelines
As a Full-Stack Data Engineer, you’ll design and build scalable systems that process hundreds of thousands of context-rich product signals

Job Summary

  • As a Full-Stack Data Engineer, you’ll design and build scalable systems that process hundreds of thousands of context-rich product signals.
  • You’ll work on near real-time and batch telemetry pipelines for trusted signal capture, semantic layers and data products for reusable insights, and programmatic discovery via metadata, MCP, and knowledge graphs.
  • Help shape how Salesforce leads the digital labor revolution by transforming raw product signals into intelligent decisions for engineers, sales reps, and AI agents.

Matching Summary

As a Full-Stack Data Engineer, you’ll design and build scalable systems that process hundreds of thousands of context-rich product signals.

Skills & Requirements

Must-have

  • Spark, Trino, Flink, Kafka, DBT
  • Scalable systems for product signals
  • Fault tolerant batch and streaming pipelines
  • Semantic layers and data products
  • Cloud infrastructure (AWS)

Nice-to-have

  • Creative, systems-minded engineers
  • Navigating ambiguity and driving impact
  • Fluency in AI data engineering patterns
  • Experience with knowledge graphs
  • Curious, pragmatic, and impact-driven mindset

Key Requirements

  • Strong software engineering fundamentals
  • Expertise with big data frameworks
  • Experience with streaming systems
  • Solid understanding of semantic layers
  • Experience with cloud infrastructure

Work Rights

Not specified

Tailored Resume

Cover Letter