Data Engineer

• Build, transform, and process datasets to keep data accurate, reliable, and available for analytics and business decisions.
• Maintain high-quality data infrastructure supporting reporting, analytics, and operational insights, including pipeline ingestion, transformation and modeling, and Level 1 support for pipeline failures, monitoring, and data quality.

Data Engineer, SQL

• Design, develop, and maintain secure, scalable ETL/ELT pipelines processing structured and unstructured data from multiple sources
• Build and optimize data models and processing workflows to support BI, analytics, and reporting needs
• Develop monitoring and alerting solutions to ensure pipeline performance and data quality
• Build insightful dashboards, reports, and datasets in Domo
• Integrate data from external APIs and third-party systems (e.g., Salesforce)
• Collaborate with Software Engineering, Architecture, Product, Analytics, and IT teams
• Translate business requirements into robust technical solutions
• Conduct code reviews and provide feedback to engineering team members
• Mentor other data engineers and contribute to onboarding efforts
• Participate in Agile ceremonies including standups, retrospectives, and planning

Senior Data Engineer

• Collaboration with U.S-based client stakeholders on solution design/definition. Identify solutions that solve business problems, translating requirements into technical specifications and actionable work.
• Writing code and implementing the proposed solutions
• Creating data pipelines, versioning and change management
• Manage the complexity inherent in versioned data pipelines
• Develop ETL/ELT processes to help extract and manipulate data from multiple sources.
• Design, build and maintain batch or real-time data pipelines in production.
• Automate data workflows such as data ingestion, aggregation, and ETL processing.
• Logging and instrumentation of pipelines and services.
• Ensure data accuracy, integrity, privacy, security, and compliance through quality control procedures.

Senior Data Engineer, PowerBI, Data Integration

• Design and implement robust system architectures for real-time, near real-time, and batch processing data flows to meet the operational demands of complex business systems
• Master 'Vibe Coding' and AI-orchestrated development to accelerate the delivery of new data pipelines and GenAI applications, reducing the end-to-end development lifecycle from days to hours
• Design and deploy GenAI-powered 'Self-Service' tools, including automated documentation generators and natural language interfaces, to empower business users and reduce routine engineering requests
• Standardize AI-first engineering workflows across the team to ensure high-quality, auto-validated, and well-documented code delivery
• Develop and implement data transformations to enrich and provision data, following established specifications and standards while utilizing AI-first workflows
• Partner with data owners to ensure seamless, reliable data ingestion for both traditional analytics and GenAI-powered applications
• Collaborate with Data Architects, Operational Architects, and Data Analysts to understand the data and operational requirements across different business units
• Implement monitoring and CI/CD automation processes to track data quality and ensure the reliability of AI-supported data services

Data Engineer jobs in Costa Rica

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Data Engineer, SQL

Senior Data Engineer

Senior Data Engineer, PowerBI, Data Integration

Senior Data Engineer