Data Engineer at Resilience – United States | Jobyssey

About Us

At Resilience, we’re creating a new category that integrates cybersecurity, cyber insurance, and cyber risk management. Founded in 2016 by experts from across the highest tiers of the US military and intelligence communities – and built by prominent leaders and innovators from the insurance, technology, and cybersecurity industries – Resilience is rewriting the rules of how cyber risk is assessed, measured, and managed.

Our integrated cyber risk solutions connect risk quantification software, cybersecurity experts, and A+ rated cyber insurance, all purpose-built for middle and large organizations. We are a cybersecurity company, a Cyber and Tech E&O-focused MGA, a fintech startup, and a data science powerhouse, all purposefully built into one.

Resilience is proud to be backed by leading technology investment firms, including General Catalyst, Lightspeed Venture Partners, Intact Ventures, Founders Fund, CRV, and Shield Capital.

The Hook: Why this role matters now

Step into a critical technical role driving the core data architecture that powers our category-defining platform. As a Data Engineer at Resilience, you won't just maintain existing pipelines; you will take full ownership of building, scaling, and optimizing the data infrastructure that connects cybersecurity visibility with cyber insurance analytics. Sitting at the heart of our engineering team, you will ensure efficient and reliable data integration, storage, and processing across cross-functional teams, transforming complex datasets into seamless, high-performance systems.

The Mission: What you will achieve in the first 6 months

In your first six months, you will take complete accountability for developing and maintaining our data pipelines, data modeling, and infrastructure strategy:

Data Pipeline Development: Design, develop, and maintain robust, scalable data pipelines for ingestion, transformation, and storage, ensuring data quality, reliability, and integrity throughout the pipeline lifecycle.
Data Modeling & Integration: Partner closely with data scientists, analysts, and application teams to design and implement scalable data models supporting business intelligence and analytics while integrating diverse internal and external sources.
Performance Optimization & Infrastructure: Address system bottlenecks, conduct capacity planning, and implement optimizations to elevate performance and reliability across our cloud-based data systems.
Governance & Security: Establish and enforce data security policies, access controls, and compliance standards in alignment with regulatory measures.
Mentorship & Collaboration: Provide technical mentorship to fellow engineers, fostering a culture of continuous learning while communicating technical concepts effectively to non-technical stakeholders.

The Toolkit: Technical skills vs. "nice-to-haves"

Core Requirements:
- 3+ years of proven data engineering experience with hands-on expertise in data integration, data modeling, and ETL processes.
- Proficiency in programming languages including SQL, Python, and JavaScript/TypeScript.
- Solid working knowledge of data warehousing concepts, cloud architectures, and modern data stack tooling (e.g., Dagster, AWS, Snowflake, dbt).
- Familiarity with data governance, security, and compliance best practices.
- Bachelor's degree in Computer Science, Data Science, or a related quantitative field (or equivalent practical experience).
- Strong analytical, problem-solving, and cross-functional communication skills, with a track record of managing multiple projects in a dynamic environment.
Nice-to-Haves:
- Master's degree in Computer Science or Data Science.
- Advanced certifications in data engineering or cloud platform domains.

The Culture: How we work

We move fast, operate with zero ego, and embrace a bias to action. We are guided strongly by our four core values: transparency, excellence, grit, and humility. This is a full-time, remote-friendly role operating loosely on Eastern Standard Time, with engineering team members distributed across Baltimore, New York, San Francisco, and the eastern seaboard.

The Benefits: Standardized perks

You will work alongside prominent leaders and innovators from the insurance, technology, and cybersecurity industries, as well as experts from the highest tiers of the US military and intelligence communities.

Compensation range

$100,000—$140,000 USD

What Resilience Offers You

Innovative company culture

Flexible work schedules

Family paid leave

Paid healthcare for employees

401k/Pension

Professional development & career advancements

Flexible paid time off

Employee referral bonus

Accommodations and Accessibility

We want to ensure you're able to perform as well as possible in your interview. As part of that, if you have any accessibility-related needs to ensure a comfortable visit, please let us know. We'll do our best to provide reasonable accommodations to suit your working style during your interview and if you join our team.

If you require a reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please let your recruiter contact know.

Beware of Job Scams

Resilience is excited to welcome talented individuals to explore career opportunities with us. However, we urge you to stay vigilant against recruitment scams where fraudsters may impersonate our company. We will never ask for payments, conduct interviews via chat rooms, or contact candidates from personal email accounts. All job applications must be submitted through our official platform at , and interviews will only take place via approved Resilience accounts. If you receive suspicious outreach or have concerns, please let your recruiter contact know. Thank you for helping us maintain a safe and secure recruitment process.

Data Engineer

Similar jobs

Cloud Data Engineer, Business Intelligence

Data Engineer 4 (Python/AWS)

Data Engineer

Data Engineer, Sourcing BI and Analytics

Similar jobs

Cloud Data Engineer, Business Intelligence

Data Engineer 4 (Python/AWS)

Data Engineer

Data Engineer, Sourcing BI and Analytics

Explore more jobs