Data Engineer (NYC Onsite) - AI Pipelines & Data Quality

K Health; New York (NY); On-site; USD 150,000 - 175,000; Full time

Benefits offered by this job

Stock options

Paid parental leave

Health insurance (medical, dental, and

Weekly lunches

Job summary

K Health, headquartered in New York City, seeks a data engineer to design and implement scalable data pipelines and models that power clinical and business intelligence. You will craft data services, integrate AI-enabled capabilities, and ensure data quality across platforms, collaborating with analysts, scientists, and engineers.

The role requires onsite presence in NYC 4 days a week, with no immigration sponsorship.

Qualifications

• 5+ years of experience as a Data Engineer / Backend Engineer focused on data processing.
• Proficiency in Python for building services, data pipelines, automations, and integrations.
• Deep SQL experience with complex queries and large datasets.
• Strong data modeling knowledge for relational and dimensional structures.
• Commitment to data quality and trustworthy business-critical data.

Responsibilities

• Design, develop, and optimize data services and solutions for products.
• Integrate LLM- and agent-based capabilities into data platforms and AI-driven products.
• Build scalable data pipelines ensuring clean and analysis-ready data.
• Create robust data models supporting clinical, BI, and operational needs.
• Enforce data quality standards and monitor pipelines across systems.
• Manage large-scale data storage and processing for reliability and performance.

Skills

SQL

Python

Data modeling

Data pipelines

Cloud platforms

Airflow

Kubernetes

CI/CD

ML/AI development

Data quality

Tools

N/A

Job description

K Health, headquartered in New York City, seeks a data engineer to design and implement scalable data pipelines and models that power clinical and business intelligence. You will craft data services, integrate AI-enabled capabilities, and ensure data quality across platforms, collaborating with analysts, scientists, and engineers.

The role requires onsite presence in NYC 4 days a week, with no immigration sponsorship.