Data Engineering Lead, Resilience
$160-200k
Cybersecurity & cyber insurance solutions
Be an early applicant
Cybersecurity & cyber insurance solutions
201-500 employees
Be an early applicant
$160-200k
201-500 employees
Company mission
To help make the world cyber resilient.
Role
Who you are
- Bachelor’s or Master’s degree in computer science, data science, or a related field. Advanced certifications in data engineering or relevant domains are a plus
- Proven experience (5+ years) in data engineering, with hands-on expertise in data integration, data modeling, and ETL processes
- Proficiency in programming languages such as Python, SQL, and Javascript/Typescript
- Strong understanding of data warehousing concepts, data architecture, and cloud-based platforms (e.g., Dagster, AWS, Snowflake, dbt)
- Experience with data governance, security, and compliance best practices
- Excellent analytical and problem-solving skills, with a focus on delivering scalable and efficient solutions
- Strong communication skills, with the ability to effectively collaborate across teams and present technical concepts to non-technical stakeholders
- Demonstrated ability to prioritize and manage multiple projects in a dynamic environment
What the job involves
- As the Data Engineer, Lead at Resilience, you will be responsible for the development and maintenance of our data pipelines, data infrastructure, and systems
- You will collaborate closely with cross-functional teams, including data scientists, analysts, and software engineers, to ensure efficient and reliable data integration, storage, and processing
- This is a critical role that requires technical expertise, a strong understanding of data engineering practices, and a strategic mindset
- Technical Leadership: Act as a subject-matter expert for data engineering practices, providing technical guidance and hands-on support to peers and junior engineers. Champion best practices for scalable, efficient, and secure data systems
- Data Infrastructure Strategy: Contribute to the strategic design and implementation of our data infrastructure to support current and future organizational needs. Research and recommend new tools, technologies, and methodologies to optimize processes
- Data Pipeline Development: Design, develop, and maintain robust, scalable data pipelines for data ingestion, transformation, and storage. Ensure the quality, reliability, and integrity of data throughout the pipeline lifecycle
- Data Modeling and Integration: Collaborate with data scientists, analysts, and application teams to design and implement data models that support analytics, reporting, and business intelligence needs. Integrate data from diverse internal and external sources for seamless accessibility
- Performance Optimization: Analyze and address bottlenecks, inefficiencies, and processing issues in data systems. Conduct capacity planning and implement optimizations to improve performance and reliability
- Data Security and Governance: Work with stakeholders to establish and enforce data security and governance policies. Implement appropriate access controls, data privacy measures, and compliance with regulatory standards
- Cross-Functional Collaboration: Partner with teams across the organization to align data engineering efforts with business objectives. Clearly communicate technical concepts to stakeholders with varying technical backgrounds
- Mentorship: Provide mentorship and technical support to other engineers on the team, fostering a culture of continuous learning and technical excellence
Our take
For businesses operating today, cyber insurance is as fundamental as property insurance. However, companies may not be as educated in digital risk-assessment and can end up paying large insurance costs as a result. Resilience integrates risk engineering with their cyber-insurance offerings, allowing middle-market companies to build cyber resilience and access lower cost insurance options.
Traditionally, insurers assess the information security of a company and then write up their coverage, but Resilience instead works proactively to help mitigate problems where it finds them, before the policy is agreed. By doing so, it aligns itself with the interests of the businesses it serves and can form stronger insurer-customer relationships – which are maintained because Resilience offers access to security services for the whole length of the policy.
Resilience has seen significant investment through the years, including from notable investors in the insurance space, demonstrating that their approach is held in high regard. With this, it has invested in accelerating global expansion and scaling the adoption of the "Resilience Solution", its holistic cyber risk platform.
Steph
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 3 rounds)
Aug 2023
$100m
SERIES D
Nov 2021
$80m
SERIES C
Total funding: $217m
Company benefits
- Stock options
- Bonus structure
- Company sponsored 401K
- Flexible PTO
- Flexible work environment
- Remote-first work culture
- Offices in San Francisco, Chicago, New York and Baltimore
- Competitive health plans
- Professional development and career growth opportunities
- Interest driven Slack channels
- Company off-site events
Company HQ
Yerba Buena, San Francisco, CA
Articles
Leadership
Matthew Hall
(Co-Founder & VP of Labs)Owner of MV Security. Worked for ThreatStream and Morta Security. Extensive experience as a Software Engineer.
Davis Hake
(Co-Founder & Advisor)Adjunct Professor on Cyber Risk Management at the University of California, Berkeley. Term Member of the Council on Foreign Relations. Former Director for Federal IT Security with the National Security Council.
Vishaal 'V8' Hariprasad
(Co-Founder & CEO)Cyber Operations Officer with the US Air Force Reserve. Former Architect in Threat Intelligence at Palo Alto.
Raj Shah
(Co-Founder & Executive Chair)Managing Partner with Shield Capital. Adjunct Professor at Stanford University. Founder and Board Member of the Nanubhai Education Foundation.
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