Senior Data Engineer | Data Ops

Idoven is a healthtech company applying AI to improve cardiovascular care, with a focus on ECG analysis for earlier detection, more accurate diagnosis, and precision medicine. The team works at the intersection of data, software, and clinical impact, building technology that supports better decision-making and helps advance the way heart conditions are understood and managed.

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.

What You Will Do

• 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.

Idoven is a healthtech company applying AI to improve cardiovascular care, with a focus on ECG analysis for earlier detection, more accurate diagnosis, and precision medicine. The team works at the intersection of data, software, and clinical impact, b...

Must-Have Skills

• 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

Nice-to-Have Skills

• Familiarity with monitoring tools and data visualization platforms (e.g., Grafana, Power BI).
• Exposure to machine learning workflows or AI model integration.

Idoven is a healthtech company applying AI to improve cardiovascular care, with a focus on ECG analysis for earlier detection, more accurate diagnosis, and precision medicine. The team works at the intersection of data, software, and clinical impact, building technology that supports better decision-making and helps advance the way heart conditions are understood and managed.

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.

What You Will Do

• 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.

Idoven is a healthtech company applying AI to improve cardiovascular care, with a focus on ECG analysis for earlier detection, more accurate diagnosis, and precision medicine. The team works at the intersection of data, software, and clinical impact, b...

Must-Have Skills

• 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

Nice-to-Have Skills

• Familiarity with monitoring tools and data visualization platforms (e.g., Grafana, Power BI).
• Exposure to machine learning workflows or AI model integration.