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

Vettura AI; Chicago (IL); Remote; USD 100,000 - 130,000; Full time

Job summary

Vettura AI is seeking a Senior Data Engineer to develop robust data connectors and ingestion pipelines for large-scale distributed systems. This remote position demands expertise in API integrations, ETL processes, and requires a mid-senior level of experience. Join a dynamic team to create impactful cloud solutions in the healthcare sector.

Benefits

Remote flexibility

Great benefits

Cloud tech stack ownership

Qualifications

• 5 to 9 years of experience in Data Engineering.
• Strong background in ETL and backend services.
• Experience in agile/startup environments considered a plus.

Responsibilities

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

Skills

API Integrations

ETL Processes

Node.js

TypeScript

Python

Keycloak

GraphQL

Distributed Systems Experience

Workflow Orchestration Tools

Job description

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

Location: Remote (United States)

Role type: Full time, Remote

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.

[Some qualifications you may want to include are Skills, Education, Experience, or Certifications.]

Example: Excellent verbal and written communication skills

Reach out me on [e-mail]

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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