Data Engineer

Salesforce

Mexico City, Mexico
Not specified (assumed hybrid based on current industry trends).
Spark, trino, flink, kafka, dbt
Batch and streaming data pipelines
Semantic layers and data products
Salesforce is seeking a Full-Stack Data Engineer for their Mexico City office to develop a data platform that enhances AI-driven product experiences. The role demands expertise in data engineering, software engineering, and collaboration across teams to build scalable systems that process significant amounts of data

Job Summary

  • As a Full-Stack Data Engineer, you will design and build scalable systems that process hundreds of thousands of context-rich product signals to fuel analytics, customer-facing products, ML models, and autonomous agents.
  • You will build and scale fault-tolerant batch and streaming data pipelines using Spark, Trino, Flink, Kafka, DBT, and apply software engineering best practices to data systems, including testing, CI/CD, and observability.
  • This role is at the heart of transforming raw product signals into intelligent decisions, shaping how Salesforce leads the digital labor revolution and redefining what's possible for AI and the world.

Matching Summary

Match Score: 85

Salesforce is seeking a Full-Stack Data Engineer for their Mexico City office to develop a data platform that enhances AI-driven product experiences. The role demands expertise in data engineering, software engineering, and collaboration across teams to build scalable systems that process significant amounts of data.

Skills & Requirements

Must-have

  • Spark, Trino, Flink, Kafka, DBT
  • Batch and streaming data pipelines
  • Semantic layers and data products
  • Software engineering best practices
  • Cloud infrastructure (AWS)
  • Containerization

Nice-to-have

  • AI data engineering patterns
  • Knowledge graphs and metadata systems
  • Creative and systems-minded engineers
  • Navigating ambiguity and cross-boundary work

Key Requirements

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

Work Rights

Not specified

Tailored Resume

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