Job Overview
Location
New York, NY
Job Type
Full-time
Category
Software Engineering
Date Posted
July 4, 2026
Full Job Description
đź“‹ Description
- • Design and build Cape’s data platform from the ground up, including the data warehouse, query layer, and pipeline orchestration, with privacy as a first-class requirement.
- • Establish privacy-preserving patterns and practices in collaboration with engineering teams to ensure all data systems uphold Cape’s privacy guarantees to customers.
- • Enable product, operations, and leadership teams with self-serve analytics through dashboards, metrics, and reports that answer critical business questions without compromising user privacy.
- • Set and enforce data engineering standards including pipeline conventions, testing protocols, documentation practices, and operational rigor aligned with the same standards applied to Cape’s telecom infrastructure.
- • Own the end-to-end development of data pipelines that ingest, transform, and serve analytics data while adhering to data minimization, access control, and identifier management principles.
- • Work closely with cross-functional stakeholders across engineering, product, and business teams to translate analytical needs into scalable, privacy-compliant data solutions.
- • Build and maintain data models optimized for analytics workloads using SQL and modern data warehousing technologies.
- • Implement and manage ETL/ELT workflows using industry-standard orchestration tools to ensure reliable, timely, and auditable data flows.
- • Contribute to the culture of data excellence by promoting best practices in data governance, lineage tracking, and quality assurance across the organization.
- • Ensure all data infrastructure designs align with Cape’s mission of making privacy a fundamental right, not an afterthought, by embedding privacy controls into every stage of the data lifecycle.
- • Collaborate with security and compliance teams to maintain adherence to regulatory and operational privacy requirements across consumer, business, and government data use cases.
- • Continuously evaluate and improve the scalability, performance, and security of the data platform as Cape scales rapidly post-Series C funding.
- • Document all data systems, processes, and decisions to ensure knowledge sharing and long-term maintainability across the engineering organization.
🎯 Requirements
- • 4+ years of professional data engineering or software engineering experience with meaningful time building data pipelines and warehouses
- • Strong SQL and data modeling skills, with experience designing schemas for analytics workloads
- • Fluency in Python, Go, or another backend language
- • Hands-on experience with a cloud data warehouse such as Snowflake, BigQuery, MongoDB, or Redshift
- • Familiarity with ETL/ELT frameworks and workflow orchestration tools
- • A solid understanding of privacy-preserving data practices including access control, data minimization, and identifier management
🏖️ Benefits
- • 401(k) match
- • 100% coverage of medical, dental, and vision premiums for you and your dependents
- • 12 weeks paid parental leave (for all parents, no waiting period)
- • Stipends for family-forming needs and gender-affirming care
- • Unlimited PTO
- • Competitive compensation with geo-adjusted salary ($180,000–$235,000 in New York, NY) and meaningful equity
Skills & Technologies
See exactly how your profile matches this role — strengths, skill gaps, and what to do about them.
About Cape Privacy, Inc.
Cape Privacy provides a confidential computing platform that lets organizations run sensitive workloads on encrypted data in untrusted environments. Its technology isolates applications inside secure enclaves, ensuring code and data remain protected from host systems, third-party cloud providers, and insider threats. The platform supports containerized workloads, integrates with existing DevOps pipelines, and offers remote attestation for cryptographic proof of security. Founded in 2019, Cape serves financial services, healthcare, and government customers who require high-assurance data protection while outsourcing computation or collaborating across organizational boundaries.
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