Senior Data Engineer - Verikai at Verikai

California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

InsurtechIndustries

Requirements

Not specified

Responsibilities

Design, build, and maintain robust ETL processes and data pipelines to handle large-scale data ingestion
Collaborate with cross-functional teams to deliver clean, reliable, and efficient data systems
Support the needs of data scientists, engineers, and business stakeholders
Optimize data infrastructure to support Verikai’s analytics platform
Enable faster and more accurate data processing
Facilitate better decision-making through data
Contribute to the success of Verikai’s machine learning models and customer-facing products

Skills

Key technologies and capabilities for this role

ETLData PipelinesData IngestionData InfrastructureAnalytics PlatformData ProcessingMachine Learning

Questions & Answers

Common questions about this position

Is this position remote?

Yes, this is a remote position available to candidates in the USA.

What is the salary for this Senior Data Engineer role?

This information is not specified in the job description.

What skills are required for this Senior Data Engineer position?

This information is not specified in the job description.

What is the company culture like at Verikai?

Verikai has a remote-first culture that is collaborative, integrity-focused, innovative, and embraces a 'dare to fail' spirit.

What makes a strong candidate for this role at Verikai?

A strong candidate is a passionate individual who prioritizes talent cultivation, collaboration, integrity, and innovation, and can contribute to building robust ETL processes, data pipelines, and supporting machine learning models.

Verikai

Predictive data platform for insurance underwriting

About Verikai

Verikai provides a predictive data and risk platform specifically designed for the insurance industry. The platform uses AI-powered machine learning to generate Capture scores, which offer insights into the behaviors of millions of individuals. These insights help insurance companies make more accurate risk assessments, leading to improved underwriting precision and efficiency. Unlike many competitors, Verikai focuses solely on the insurance sector, tailoring its services to meet the unique needs of insurers. The company's goal is to enhance risk evaluation processes for its clients, ultimately driving profitable growth through a subscription-based service that ensures consistent value and revenue.

San Francisco, CaliforniaHeadquarters

2018Year Founded

$5.8MTotal Funding

ACQUISITIONCompany Stage

AI & Machine Learning, Financial ServicesIndustries

11-50Employees

Risks

Increased competition from other AI-driven insurance technology firms.

Data privacy regulations may impact data collection and utilization.

Economic downturns could reduce insurance companies' spending on new technologies.

Differentiation

Verikai uses AI and machine learning for precise insurance risk assessments.

CaptureHealth and Capture360 offer comprehensive health risk analysis with SDoH factors.

Verikai's subscription model ensures steady revenue and client value.

Upsides

Growing demand for AI-driven underwriting boosts Verikai's market potential.

CaptureHealth and Capture360 address comprehensive healthcare risk analysis needs.

Acquisition by American Financial Group enhances resources and market reach.

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