Data Engineer (DBT + Spark + Argo) - Remote

Overview

This position is for a Data Engineer focused on modernizing data platforms in the healthcare sector, working remotely from Latin America.

In Short

• Transform legacy SQL pipelines into modular DBT architectures.
• Leverage Spark for high-performance data processing.
• Use Argo for workflow orchestration.
• Implement lakehouse solutions for data storage and querying.
• Enable real-time analytics with ElasticSearch.
• Collaborate with cross-functional teams.
• Develop testing frameworks for data accuracy.
• Participate in Agile squads for project planning.
• Optimize cloud storage and ensure compliance.
• Manage reference datasets and maintain version control.

Requirements

• Experience with DBT and Spark SQL.
• Knowledge of Argo Workflows and CI/CD processes.
• Familiarity with data storage technologies like Apache Hudi and Parquet.
• Strong understanding of Agile methodologies.
• Ability to collaborate with DevOps teams.
• Experience in data testing and validation.
• Strong problem-solving skills.
• Ability to work in a remote-first environment.
• Experience in the healthcare sector is a plus.
• Fluent in English, additional languages are a plus.

Benefits

• Work in a remote-first, collaborative team.
• Opportunity to work on cutting-edge technology.
• Flexible working hours.
• Competitive salary and benefits package.
• Professional development opportunities.
• Contribute to impactful data solutions.
• Engage in a dynamic and innovative work environment.
• Work closely with cross-functional teams.
• Participate in company events and activities.
• Access to resources for continuous learning.