Senior Data Engineer - Full stack (Connectors & Ingestion Pipelines)- Full Time

Vettura AI; Chicago (IL); Remote; USD 150,000 - 200,000; Full time

Job summary

A leading company is seeking a Senior Data Engineer to build robust data connectors and ingestion pipelines. This remote role requires experience in developing scalable ETL frameworks and optimizing data workflows. Ideal candidates thrive in startup environments and have full-stack capabilities. Join a mission-driven team making a real-world impact with cloud technology.

Benefits

Remote flexibility

Great benefits

Cloud tech stack ownership

Qualifications

• 3 to 6 years of experience in data engineering.
• Experience in building data connectors and ingestion pipelines.

Responsibilities

• Design and maintain data connectors and ingestion pipelines.
• Develop scalable ETL frameworks for data ingestion.
• Implement orchestration for long-running jobs.

Skills

API Integrations

ETL

Node.js

TypeScript

Python

Keycloak

GraphQL

Distributed Systems Experience

Workflow Orchestration Tools

Job description

Senior Data Engineer - Full stack (Connectors & Ingestion Pipelines) - Full Time

Location: Remote (United States)

VISA: GC, EAD, H4, or Citizens

Experience Level: 3 to 6 years | Employment Type: Full Time

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 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, back-pressure, 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 systems
• 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 (monitoring, alerting, logging)

Why Vettura?

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

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Information Technology
• Industries: Software Development

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Location: Chicago, IL | Salary: $150,000.00 - $200,000.00 | 1 week ago