<div class="content-intro"><p><strong>About Us</strong></p> <p>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.</p> <p>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.</p> <p>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.</p></div><div class="paragraph normal" data-start-index="971"><strong data-start-index="971">The Hook: Why this role matters now</strong></div> <div class="paragraph normal" data-start-index="971"><span data-start-index="1007">Step into a critical technical role driving the core data architecture that powers our category-defining platform.</span><span data-start-index="1120"> 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.</span><span data-start-index="1359"> 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.</span></div> <p></p> <div class="paragraph normal" data-start-index="1589"><strong data-start-index="1589">The Mission: What you will achieve in the first 6 months</strong></div> <div class="paragraph normal" data-start-index="1589"><span data-start-index="1646">In your first six months, you will take complete accountability for developing and maintaining our data pipelines, data modeling, and infrastructure strategy:</span></div> <p></p> <ul> <li class="paragraph list-item normal" data-start-index="1804"><strong data-start-index="1804">Data Pipeline Development:</strong><span data-start-index="1830"> Design, develop, and maintain robust, scalable data pipelines for ingestion, transformation, and storage, ensuring data quality, reliability, and integrity throughout the pipeline lifecycle.</span></li> <li class="paragraph list-item normal" data-start-index="2021"><strong data-start-index="2021">Data Modeling & Integration:</strong><span data-start-index="2049"> 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.</span></li> <li class="paragraph list-item normal" data-start-index="2268"><strong data-start-index="2268">Performance Optimization & Infrastructure:</strong><span data-start-index="2310"> Address system bottlenecks, conduct capacity planning, and implement optimizations to elevate performance and reliability across our cloud-based data systems.</span></li> <li class="paragraph list-item normal" data-start-index="2469"><strong data-start-index="2469">Governance & Security:</strong><span data-start-index="2491"> Establish and enforce data security policies, access controls, and compliance standards in alignment with regulatory measures.</span></li> <li class="paragraph list-item normal" data-start-index="2618"><strong data-start-index="2618">Mentorship & Collaboration:</strong><span data-start-index="2645"> Provide technical mentorship to fellow engineers, fostering a culture of continuous learning while communicating technical concepts effectively to non-technical stakeholders.</span></li> </ul> <p></p> <div class="paragraph normal" data-start-index="2820"><strong data-start-index="2820">The Toolkit: Technical skills vs. "nice-to-haves"</strong></div> <p></p> <ul> <li class="paragraph list-item normal" data-start-index="2869"><strong data-start-index="2869">Core Requirements:</strong> <ul> <li class="paragraph list-item normal" data-start-index="2887"><span data-start-index="2887">3+ years of proven data engineering experience with hands-on expertise in data integration, data modeling, and ETL processes.</span></li> <li class="paragraph list-item normal" data-start-index="3012"><span data-start-index="3012">Proficiency in programming languages including </span><strong data-start-index="3059">SQL</strong><span data-start-index="3062">, </span><strong data-start-index="3064">Python</strong><span data-start-index="3070">, and </span><strong data-start-index="3076">JavaScript/TypeScript.</strong></li> <li class="paragraph list-item normal" data-start-index="3098"><span data-start-index="3098">Solid working knowledge of data warehousing concepts, cloud architectures, and modern data stack tooling (e.g., </span><strong data-start-index="3210">Dagster</strong><span data-start-index="3217">, </span><strong data-st