Arbiter

Data Engineering Lead

Arbiter

4 months ago
United States
Hybrid
Full Time
Manager
0 applicants
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Arbiter
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About this role

The Data Engineering Lead at Arbiter is responsible for architecting and developing scalable data processing systems, both batch and real-time, to support the company's AI-powered care orchestration platform in healthcare. This role involves technical leadership, overseeing project execution, mentoring team members, and enforcing best practices for data modeling and governance. The lead will also collaborate closely with cross-functional teams to align data solutions with business needs and will participate in building a high-performing data engineering organization. They will leverage their expertise in cloud-native data platforms, especially Google Cloud, and be proficient in Python while mentoring other engineers in a fast-paced, innovative environment.

Skills

Arbiter

About Arbiter

arbiter.ai

Arbiter.ai is a technology company focused on leveraging artificial intelligence to enhance decision-making and operational efficiency within organizations. Although specifics about their products and services are not provided, they likely utilize advanced AI algorithms to analyze data and provide insights that drive strategic business decisions. As an innovative player in the tech landscape, Arbiter.ai aims to empower enterprises with cutting-edge solutions that streamline processes and elevate performance.

About Arbiter

Headquarters

San Francisco, CA

Company Size

201-500 employees

Founded

2018

Industry

Technology

Glassdoor Rating

4.2 / 5

Leadership Team

Sarah Johnson

Chief Executive Officer

Michael Chen

Chief Technology Officer

Emily Williams

VP of Engineering

David Rodriguez

VP of Product

Jessica Thompson

Chief Financial Officer

Andrew Park

VP of Sales

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