ETL Developer Bilingual

The ideal candidate should have strong experience in SQL ETL development and data transformation along with exposure to modern AI-assisted development tools and automation practices. Experience working with US Healthcare data environments is highly preferred.

• Design develop test and maintain ETL workflows and data pipelines.
  
• Integrate data from multiple on-prem and cloud-based systems.
  
• Develop and maintain data models mappings and data dictionaries.
  
• Monitor ETL jobs troubleshoot failures and resolve data quality issues.
  
• Collaborate with analysts business teams and stakeholders to understand integration requirements.
  
• Ensure data accuracy consistency completeness and scalability across pipelines.
  
• Maintain technical documentation for ETL processes and data architecture.
  
• Implement best practices for ETL deployment version control and CI/CD.
  
• Utilize AI-assisted coding and automation tools to improve development efficiency and debugging.
  
• Support continuous improvements in data quality performance and operational reliability.
  
• Stay current with emerging ETL cloud and AI-driven data engineering technologies.
  

• Exposure to US Healthcare data standards such as HL7 FHIR EDI 837/835 and claims processing.
  
• Understanding of HIPAA compliance and secure healthcare data handling practices.
  

Requirements

• Bachelors degree in Computer Science Information Technology or related field.
  
• 35 years of hands-on ETL development experience.
  
• Strong experience with ETL tools such as Talend or SSIS.
  
• Strong SQL skills and experience with databases such as SQL Server Oracle MySQL or Azure SQL.
  
• Experience with cloud and on-prem data environments.
  
• Familiarity with Git and CI/CD deployment practices.
  
• Experience using AI coding assistants or automation tools in development workflows.
  
• Strong analytical troubleshooting and problem-solving abilities.
  
• Excellent communication and collaboration skills.
  
• Ability to work independently in a fast-paced environment.
  

• Experience with Azure Data Factory AWS Glue Databricks or similar cloud ETL platforms.
  
• Knowledge of Python or Spark for large-scale data transformations.
  
• Familiarity with data governance and metadata management tools.
  
• Exposure to AI/ML data pipelines or MLOps workflows.
  
• Healthcare domain experience is a plus.