Senior Data Engineer

Location: Remote (US)
Experience: 3–6 Years | Employment Type: Full Time

Applicants must be in US.

We arent open for Sponsorship at the moment.

About Vettura

Vettura is on a mission to build secure, high-impact cloud platforms that power healthcare and enterprise-grade systems. We combine deep technical excellence with a mission-driven mindset to build products that matter.

Role Overview

We are looking for a Senior Data Engineer who can build and scale robust data pipelines and connectors for large-scale data ingestion. The ideal candidate is a full-stack data engineer comfortable working with both backend APIs and modern data tools, integrating secure and efficient workflows across distributed systems.

Key Responsibilities

• Design and develop scalable ETL pipelines and connectors for real-time and batch data ingestion.

• Integrate with internal and third-party APIs, ensuring secure and reliable data flow.

• Collaborate with teams to architect high-performance data systems using tools like Yugabyte, Opensearch, and Redis.

• Implement authentication and authorization using OAuth, JWT, and Keycloak.

• Use orchestration tools like Argo or Temporal to automate data workflows.

• Develop and maintain backend services using Python.

• Ensure data security, compliance, and accessibility at all stages.

Ideal Qualifications

• 3–6 years of experience in backend or data engineering roles.

• Strong expertise in API integrations and ETL systems.

• Proficiency in Python.

• Experience with distributed systems and cloud-native databases (e.g., Yugabyte, Opensearch, Redis).

• Familiarity with modern orchestration and identity tools (Argo/Temporal, Keycloak).

• Knowledge of GraphQL, OAuth 2.0, and JWT for data access control.

• Bonus: Experience in regulated environments like healthcare or finance.

Why Vettura?

• Remote-first culture.

• Mission-driven work with technical impact.

• Competitive salary, growth opportunities, and autonomy.