Senior - Mid Data Engineer - Full time - 5+years

Vettura AI; Chicago (IL); Remote; USD 95,000 - 145,000; Full time

Job summary

Vettura AI is seeking a Senior Data Engineer to develop and maintain scalable data ingestion pipelines and connectors. This full-time, remote role requires 5+ years of experience and a passion for building impactful data solutions in a fast-paced environment. Join a mission-driven team with great benefits and the opportunity to work on healthcare and enterprise-grade systems.

Benefits

Remote flexibility

Great benefits

Cloud tech stack ownership

Qualifications

• Experience Level: 5 to 9 years.
• Full-stack capabilities required.
• Experience in agile/startup environments preferred.

Responsibilities

• Design and maintain data connectors and ingestion pipelines.
• Develop scalable ETL frameworks for data ingestion.
• Collaborate across teams to deliver end-to-end features.

Skills

API Integrations

ETL Processes

Node.js

TypeScript

Python

GraphQL

Distributed Systems Experience

Workflow Orchestration Tools

Job description

Senior - Mid Data Engineer - Full time - 5+years

Senior - Mid Data Engineer - Full time - 5+years

Senior Data Engineer-Full Stack (Connectors & Ingestion Pipelines)

Location: Remote (United States)

Role type: Full time

VISA: GC, EAD, H4 or Citizens

Experience Level: 5 to 9 years

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 experienced Data Engineers who are passionate about building robust data connectors and ingestion pipelines at scale. This role involves developing and maintaining frameworks that ingest and process large volumes of structured and unstructured data across distributed systems. The ideal candidate has full-stack capabilities, thrives in startup environments, and is comfortable working across backend services and API layers.

• Design, build, and maintain data connectors and ingestion pipelines for large-scale distributed systems.
• Develop scalable ETL frameworks and data ingestion strategies including batch, micro-batch, and streaming.
• Optimize data workflows to handle retries, backpressure, and fault-tolerant processing.
• Implement orchestration for long-running jobs using workflow tools.
• Develop and secure backend APIs to support data platforms in multi-tenant environments.
• Collaborate across teams to deliver end-to-end features and iterate rapidly in a fast-paced environment.

Key Responsibilities:

• API Integrations
• ETL (Extract, Transform, Load) Processes
• Node.js & TypeScript
• Python
• Keycloak
• GraphQL
• Distributed Systems Experience (e.g., Yugabyte, OpenSearch, Redis)
• Workflow Orchestration Tools (e.g., Argo Workflows, Temporal)

Ideal Qualifications/ Nice to Have:

• Experience with RESTful API design and development
• Familiarity with handling high-throughput and high-availability system
• Exposure to multi-tenant platform security
• Knowledge of caching and state management using Redis
• Experience working in agile/startup environments
• Start up and Healthcare Exposure
• Strong debugging and observability practices (e.g., monitoring, alerting, logging)

Why Vettura?

• Build infrastructure with real-world impact.
• Remote flexibility and lean, high-trust team
• Great benefits and cloud tech stack ownership.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Software Development

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