Data Engineer

<p><strong>About Interval</strong></p> <p class="p1">Interval helps enterprises turn messy, underused data into governed, high-confidence&nbsp;intelligence—without handing control to a black box. We bring compute to your data with a private&nbsp;data lakehouse, verifiable audit trails, and <strong>U-AI</strong>, our contextual AI framework for secure AI&nbsp;workflows.</p> <p class="p1"><strong>Our platform is built around three outcomes:</strong><br>- Control: Keep ownership of your data and how models use it.<br>- Verify: Audit what happened, why it happened, and where results came from.<br>- Monetize: Create new revenue opportunities through private, permissioned data exchange.&nbsp;</p> <p><strong>Role Overview</strong><br>We are seeking a highly skilled Data Engineer to join our team and revolutionize how enterprises secure, analyze, and monetize their data—on their terms. As a Data Engineer at Interval, you’ll work on building and optimizing secure, scalable data pipelines and infrastructure that ensure privacy, compliance, and enable AI-powered business transformation.</p> <p><strong>Key Responsibilities</strong><br>- Design, develop, and maintain scalable data pipelines for ingestion, transformation, and delivery of large datasets across diverse industries.<br>- Implement and ensure data privacy and security best practices, supporting data sovereignty and compliance with regulatory requirements.<br>- Collaborate closely with AI/ML engineers, Data Scientists, and Platform engineers to enable advanced analytics and AI capabilities while retaining strict data control.<br>- Optimize data platforms and systems for performance, reliability, and cost efficiency.<br>- Build tools and frameworks for secure, privacy-preserving data processing and orchestration.<br>- Develop and maintain documentation, data models, and technical workflows.<br>- Partner with cross-functional teams to launch new data-driven product features and solutions.</p> <p><strong>Qualifications</strong><br>- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.<br>- Proven experience in designing and building ETL pipelines and data infrastructure (cloud, hybrid, and/or on-premise).<br>- Strong proficiency with Python, SQL, and modern data engineering toolsets (e.g., Apache Spark, Kafka).<br>- Solid understanding of data security, privacy frameworks, and regulatory compliance such as GDPR, CCPA, or equivalent.<br>- Experience with privacy-first, AI-native, or data sovereignty-focused platforms is a plus.<br>- Familiarity with industry-specific data challenges (CPG, financial services, energy, supply chain, etc.) is advantageous.<br>- Excellent analytical and communication skills; proactive and detail-oriented.</p> <p><strong>Why Interval?</strong><br>- Shape the frontier of AI, blockchain, and enterprise data infrastructure.&nbsp;<br>- Enjoy meaningful ownership, flexible work, and the autonomy where data, AI, and privacy meet<br>- Thrive in a sharp, mission-driven team backed by top-tier technical leadership and investors</p>