Data Engineer (AI)

TL;DR

Data Engineer (AI): Building a product data platform to power hirify.global's agentic intelligence, delivering smarter, adaptive, and self-optimizing product experiences with an accent on processing context-rich product signals. Focus on designing resilient, trusted, and intelligent systems at scale, and transforming raw product signals into intelligent decisions for engineers, sales reps, and AI agents.

Location: Mexico City

Company

hirify.global is building the product data platform that will power hirify.global’s next era of agentic intelligence.

What you will do

• Build and scale fault tolerant batch and streaming data pipelines using Spark, Trino, Flink, Kafka, DBT.
• Design programmatic consumption layers to make product signals easy to define, discover, and reuse.
• Apply software engineering best practices to data systems: testing, CI/CD, observability.
• Evolve systems to support not just human analysis, but autonomous agent reasoning.
• Contribute to a trusted data foundation powering decisions, AI agents, and adaptive products.
• Collaborate across orgs with telemetry engineers, product leaders, data scientists, and AI builders.

Requirements

• Strong experience in data engineering, with strong software engineering fundamentals.
• Expertise with big data frameworks: Spark, Trino/Presto, DBT, Snowflake.
• Experience with streaming systems like Flink and Kafka, incl. distribution strategy (topics & partitions).
• Solid understanding of semantic layers, data modeling, and metrics systems.
• Experience with cloud infrastructure, particularly AWS (e.g., S3, EMR, ECS, IAM), Containerization.
• Strong communicator and collaborator — comfortable working across teams and domains.

Nice to have

• Fluency in AI data engineering patterns and tools like MCP.
• Experience with knowledge graphs and modern metadata systems.
• Curious, pragmatic, and impact-driven mindset.

Culture & Benefits

• Help shape how hirify.global leads the digital labor revolution.
• Design resilient, trusted, and intelligent systems at scale.
• Transform raw product signals into intelligent decisions for everyone from engineers to sales reps to AI agents.