Data Engineer, AI & Cloud

Location: 100% remote; Colombia or Mexico

Company

hirify.global is an international data, cloud, and AI consulting group with over 30 years of experience and 3,000 experts across 30 countries, building foundations for intelligent enterprise systems.

What you will do

• Design, build, and maintain production data pipelines, data models, and reusable data products for analytics, enterprise applications, and AI solutions.
• Develop and optimize ETL/ELT processes integrating structured and unstructured data from databases, APIs, files, and other enterprise sources.
• Implement data quality, testing, monitoring, lineage, security, and production reliability practices.
• Prepare enterprise data for AI use cases including RAG, retrieval systems, semantic context, and evaluation datasets.
• Manage cloud-based data solutions for scalability, performance, reliability, and cost optimization.
• Collaborate with AI Engineers, Software Engineers, Architects, clients, and stakeholders to deliver reliable integrations and reusable engineering solutions.

Requirements

• Hands-on experience designing, developing, and maintaining production data pipelines, data models, and ETL/ELT processes.
• Experience with cloud data platforms and scalable data solutions.
• Experience implementing data quality, testing, monitoring, and security practices in production.
• Knowledge of data engineering best practices covering performance, reliability, maintainability, and version control.
• Strong SQL skills, including complex queries, data modeling, transformations, and validation.
• Proficiency in Python or another programming language used for production data engineering.
• Hands-on experience with at least one major cloud data platform such as Databricks, Snowflake, Microsoft Fabric, BigQuery, or Redshift.
• Experience with data processing, orchestration, and transformation technologies such as Spark, dbt, Airflow, or comparable tools, plus data ingestion, APIs, batch processing, and data integration patterns.
• Strong communication skills, including the ability to explain technical ideas clearly, collaborate with stakeholders, build client relationships, and work fluently in English.

Nice to have

• Experience preparing structured and unstructured data for AI or GenAI applications, including RAG, embeddings, retrieval, and evaluation datasets.
• Experience with vector databases, hybrid search, retrieval indexes, streaming, CDC, or event-driven data architectures.
• Familiarity with semantic layers, knowledge graphs, feature stores, or MLOps integrations.
• Experience with CI/CD, infrastructure automation, rapid prototyping, or BI dashboards.
• Experience working directly with clients in consulting or professional services environments.

Culture & Benefits

• 100% remote work from Colombia or Mexico.
• Full-time, indefinite-term employment at Semi-Senior-Tech Lead level.
• International and multicultural projects with collaboration across technical teams and clients.
• Access to leading Data, Cloud, and AI technologies, training programs, continuous professional development, and internal mobility.
• Culture focused on collaboration, innovation, continuous learning, diversity, and multicultural exchange.