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.