Data Engineer
Resilience · Remote, United States
About The Role
<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>
<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>
<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>
<div class="paragraph normal" data-start-index="2820"><strong data-start-index="2820">The Toolkit: Technical skills vs. "nice-to-haves"</strong></div>
<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-start-index="3219">AWS</strong><span data-start-index="3222">, </span><strong data-start-index="3224">Snowflake</strong><span data-start-index="3233">, </span><strong data-start-index="3235">dbt</strong><span data-start-index="3238">).</span></li>
<li class="paragraph list-item normal" data-start-index="3240"><span data-start-index="3240">Familiarity with data governance, security, and compliance best practices.</span></li>
<li class="paragraph list-item normal" data-start-index="3314"><span data-start-index="3314">Bachelor's degree in Computer Science, Data Science, or a related quantitative field (or equivalent practical experience).</span></li>
<li class="paragraph list-item normal" data-start-index="3436"><span data-start-index="3436">Strong analytical, problem-solving, and cross-functional communication skills, with a track record of managing multiple projects in a dynamic environment.</span></li>
</ul>
</li>
<li class="paragraph list-item normal" data-start-index="3590"><strong data-start-index="3590">Nice-to-Haves:</strong>
<ul>
<li class="paragraph list-item normal" data-start-index="3604"><span data-start-index="3604">Master's degree in Computer Science or Data Science.</span></li>
<li class="paragraph list-item normal" data-start-index="3656"><span data-start-index="3656">Advanced certifications in data engineering or cloud platform domains.</span></li>
</ul>
</li>
</ul>
<div class="paragraph normal" data-start-index="3726"><strong data-start-index="3726">The Culture: How we work</strong></div>
<div class="paragraph normal" data-start-index="3726"><span data-start-index="3751">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.</span></div>
<div class="paragraph normal" data-start-index="4108"><strong data-start-index="4108">The Benefits: Standardized perks</strong> </div>
<div class="paragraph normal" data-start-index="4108"><span data-start-index="4191">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.</span><span data-start-index="4399"> </span></div><div class="content-pay-transparency"><div class="pay-input"><div class="title">Compensation range</div><div class="pay-range"><span>$100,000</span><span class="divider">—</span><span>$140,000 USD</span></div></div></div><div class="content-conclusion"><p><strong>What Resilience Offers You</strong></p>
<p>Innovative company culture</p>
<p>Flexible work schedules</p>
<p>Family paid leave</p>
<p>Paid healthcare for employees</p>
<p>401k/Pension</p>
<p>Professional development & career advancements</p>
<p>Flexible paid time off</p>
<p>Employee referral bonus</p>
<p><strong>Accommodations and Accessibility</strong></p>
<p>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.</p>
<p>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.</p>
<p><strong>Beware of Job Scams</strong></p>
<p>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 <a href="http://greenhouse.io">greenhouse.io</a> , 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.</p></div>
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