Senior Data Engineer (Security Analytics)

Location: Remote - Guadalajara, Mexico

Company

hirify.global is building an AI-powered Predictive Revenue System that helps revenue teams make data-driven decisions and drive consistent growth.

What you will do

• Design, build, and maintain scalable production data pipelines across systems.
• Model and structure data for analytics, reporting, security use cases, and internal decision-making.
• Ensure data quality, lineage, governance, reliability, and security across owned datasets and infrastructure.
• Build data infrastructure supporting security analytics and sensitive-data workflows.
• Partner with Security, Analytics, and business teams to deliver trustworthy data.
• Automate and harden workflows while addressing root causes of data quality issues.

Requirements

• Strong experience building and maintaining production data pipelines as a data engineer.
• Proficiency in SQL and a major programming language such as Python.
• Experience with modern data pipeline, orchestration, cloud data, and infrastructure tooling.
• Understanding of data modeling, data quality, lineage, and governance practices.
• Experience with AWS or GCP and with data infrastructure for security analytics or other sensitive-data use cases.
• Familiarity with Kafka or Kinesis, modern warehouse or lakehouse platforms, and infrastructure supporting AI/ML workloads.

Culture & Benefits

• Inclusive and supportive workplace focused on culture add.
• Collaboration across data engineering, security, analytics, and business teams.
• Comprehensive company benefits.
• AI tools may support parts of the hiring process, with human judgment retained for all hiring decisions.