Software Development Engineer, Big Data

TL;DR

Software Development Engineer, Big Data (Python/SQL/Spark): Building reusable data platforms and pipelines that enable AI teams to deliver next-generation customer experiences with an accent on scalable production data systems, low latency, and reliable resource utilization. Focus on designing and operating data infrastructure (Spark/Hive/Kafka/Flink/Databricks) that supports AI use cases at speed and scale.

Location: Teleworker in Mexico (employees may live anywhere in Mexico) with availability to travel to Mexico City for occasional office events.

Company

hirify.global builds technology for the real estate market and helps customers buy, sell, finance, and rent homes.

What you will do

• Design, build, deploy, and support scalable data platforms and pipelines powering AI use cases.
• Partner with scientists, engineers, and product teams to translate requirements into practical data foundations.
• Optimize production data systems for scale, reliability, low latency, and efficient resource utilization.
• Improve platform reliability via shared tooling, infrastructure, and self-service capabilities.
• Support and enhance a portfolio of platform services to drive adoption, delivery, and operational excellence.
• Maintain high production-quality standards while learning from senior engineers in a fast-moving AI environment.

Requirements

• 3+ years of software development experience with strong proficiency in Python, Java, Scala, or another modern language, plus a solid foundation in SQL, data structures, and algorithms.
• Experience with Databricks (or similar data environments) and building scalable, reliable data pipelines.
• Hands-on experience with technologies such as Spark, Hive, Kafka, or Flink.
• Ability to work with stakeholders/customers to understand requirements and deliver technical solutions.
• Comfort working in a fast-paced, sometimes ambiguous environment with shifting priorities.

Nice to have

• Experience with streaming systems, real-time AI applications, or foundational infrastructure for agentic systems.
• Experience with containerization and production systems (e.g., Docker, Kubernetes) and DevOps practices.
• Experience with data modeling and regulated/sensitive data.
• Advanced degree in Computer Science, Machine Learning, or a related field.

Culture & Benefits

• Teleworker setup with no permanent corporate office; work from a physical location in Mexico.
• Occasional travel to Mexico City for office events is recommended.
• Competitive base salary and benefits.
• Eligible for equity awards based on experience, performance, and location.