Senior Data Engineer, Idoven

• 3+ years of experience in DataOps, data engineering, or a similar role, preferably in a regulated industry
• Proficiency with SQL and NoSQL databases and experience designing complex data pipelines
• Expertise in cloud platforms (AWS, GCP, or Azure) and tools like Terraform, Kubernetes, and Docker
• Proven ability to work autonomously, drive projects independently, and deliver measurable results
• Strong communication and leadership skills to mentor team members and coordinate with diverse stakeholders
• Fluency in English and Spanish

Desirable

• In this role, you will help shape the data foundations behind AI-driven products and workflows
• As a Senior Data Engineer | Data Ops, you will play a key part in connecting complex data sources, strengthening the reliability of critical systems, and partnering closely with Product, Engineering, and Data Science to support high-impact work across the business
• Lead the Design and Implementation: Architect and maintain high-performance, secure, and scalable data pipelines to support AI-driven workflows
• Drive Integration: Collaborate with cross-functional teams to autonomously manage the ingestion, transformation, and integration of large datasets from external partners
• Enhance Data Quality and Compliance: Build systems to ensure data quality, integrity, and regulatory compliance (e.g., ISO 13485, GDPR)
• Build and Automate: Develop reusable code and frameworks to streamline data processes and ensure operational excellence
• Monitor and Troubleshoot: monitor data pipelines, resolve issues autonomously, and implement safeguards to minimize disruptions
• Innovate: Identify and implement best practices and emerging technologies to enhance data infrastructure and team efficiency
• Collaborate Globally: Serve as a technical expert, working closely with Product, Engineering, and Data Science teams to ensure alignment on project goals and deliverables