Data Engineer / Senior Data Engineer
ArcadiaSalary not specified
Full Time
Senior (5 to 8 years)
$124,500 – $134,000Compensation
Junior (1 to 2 years)Experience Level
Full TimeJob Type
UnknownVisa
Cyber Insurance, AnalyticsIndustries
Requirements
- Bachelor's degree in Data Science, Computer Science, Software Engineering, or closely related field
- 2 years of experience (paid or unpaid, including during university studies)
- Experience designing and maintaining ETL data pipelines
- Experience in database design and optimization for insurance systems
- Experience developing large-scale internal data validation applications and models
- Experience testing and releasing system components for all stages of data lifecycle management
- Experience with PostgreSQL and SQL query and schema design
- Experience customizing and integrating open-source libraries into distributed SQL database codebase
- Must pass normal background check
Responsibilities
- Research, design, develop, and test robust, streamlined, automated data collection systems
- May perform additional duties that are similar and consistent with stated position requirements
Skills
Key technologies and capabilities for this role
Questions & Answers
Common questions about this position
What is the salary range for the Data Specialist position?
The salary range is $124.5K - $134K, specifically from $124,488 to $134,000.
Is this a remote or hybrid role, and where is it located?
The role is hybrid and based in San Francisco, CA, but full-time telecommuting is permitted from any location in the United States.
What skills and experience are required for this Data Specialist role?
Candidates need a Bachelor's degree in Data Science, Computer Science, or related field plus 2 years of experience, including designing and maintaining ETL data pipelines, database design and optimization for insurance systems, developing large-scale data validation applications, testing system components, PostgreSQL and SQL query/schema design, and customizing open-source libraries for distributed SQL databases.
What is the company culture like at CyberCube?
CyberCube fosters a collaborative environment committed to attracting diverse talent, driving ownership for excellence, empowering initiative, and enabling exceptional work, with recognitions like Forbes America's Best Startup Employers.
How should I apply for the Data Specialist position at CyberCube?
Send your resume to info@cybcube.com or to CyberCube Analytics, Inc. at 345 California Street, Suite 600, San Francisco, CA 94104. Ensure you meet the degree and specific experience requirements, and be prepared to pass a normal background check.
CyberCube
Cyber risk analytics platform for insurers
About CyberCube
CyberCube provides an analytics platform that helps insurance companies quantify and manage cyber risk. The platform uses cloud-based technology to offer solutions for insurance placement, underwriting decisions, and portfolio management. Clients gain access to curated datasets, models, and signals that are integrated into their existing workflows, enabling them to make informed decisions about their cyber risk exposure. What sets CyberCube apart from competitors is its team of experts in data science, cyber security, and insurance, who provide consulting and support to clients. The goal of CyberCube is to empower insurance companies with the knowledge and tools needed to effectively manage cyber risk.
San Francisco, CaliforniaHeadquarters
2015Year Founded
$102.1MTotal Funding
LATE_VCCompany Stage
Data & Analytics, Cybersecurity, Financial ServicesIndustries
51-200Employees
Risks
Increased targeting of public sector poses risks to CyberCube's clients.
Healthcare sector's exposure to cyber threats challenges CyberCube's predictive capabilities.
Dependency on third-party technology like Penguin Tech may pose risks.
Differentiation
CyberCube offers a cloud-based platform for cyber risk analytics.
The platform provides insights on millions of companies globally.
CyberCube integrates curated datasets and models into insurance workflows.
Upsides
Growing demand for cyber insurance analytics due to rising cyber threats.
Partnerships with firms like Penguin Tech enhance integrated solutions.
Rebranding reflects strategic expansion and potential for new partnerships.
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