Data Infrastructure Engineer

VI is the market leading Enterprise-AI platform for health, serving the world’s largest health organizations — from Fortune 500 health providers to pharma and consumer brands — helping them maximize acquisition, enrollment, engagement, retention, and health outcomes. Vi offers 3 main product lines: Activate, Engage and Transform.

Backed by $125M+ in R&D, our powerful platform serves over 175 million members daily — and growing. We are based in New York, Austin, Nashville & Tel Aviv.

We are seeking a talented Data Infrastructure Engineer to join our R&D team.

You’ll take part in building and maintaining our data platform and ML operations, working alongside data engineers, data scientists, backend engineers and business analysts.

Responsibilities

• Designing, building, and maintaining the cloud pipelines required for efficient data processing, including data warehouses and distributed systems
• Ensuring the availability, integrity, security and compliance of data while optimizing for business needs, performance and scalability
• Own the data platform’s CI/CD, testing processes and monitoring
• Own the infrastructure for deploying, managing, and optimizing machine learning models in multiple environments, ensuring smooth integration and efficient operations
  
  

• 1+ years of experience in infrastructure engineering (data, backend, devops) – a must
• In-depth knowledge of AWS services for scalable cloud-based solutions – a must
• Proficiency in Python with a focus on data and infrastructure – a must
• Experience with infrastructure as code (IaC) tools like CloudFormation or CDK – a must
• Experience with database systems (SQL and NoSQL), knowledge of distributed computing frameworks such as Apache Spark
• Experience working with Git, CI-CD flows and Docker
• Effective communication skills to collaborate with data scientists, engineers, and other stakeholders