Cape Privacy, Inc. logo

Data Scientist

Job Overview

Location

New York, NY

Job Type

Full-time

Category

Data Engineer

Date Posted

March 24, 2026

Full Job Description

đź“‹ Description

  • • As the first data-focused hire at Cape Privacy, Inc., you will lay the technical foundation for the company’s data infrastructure, enabling secure, privacy-centric analytics that support both business operations and national security-aligned missions. Your work will directly empower teams to make data-driven decisions while upholding the company’s core commitment to user privacy and data sovereignty.
  • • Day to day, you will design, build, and maintain reliable ETL/ELT pipelines using modern data stack tools; create and automate dashboards and reporting workflows to track KPIs; collaborate with engineering and business teams to define data needs and deliver scalable data assets; implement schema design, data validation, documentation, and governance practices; and enable self-serve analytics by building intuitive data products for less-technical users.
  • • You will join a mission-driven team of builders with deep backgrounds in defense tech, national security, and privacy engineering, where innovation is fueled by trust, ownership, and a shared commitment to solving hard problems through technology that serves both individual liberty and collective security.
  • • In this role, you will gain end-to-end ownership of a growing data function, shape the company’s data culture from the ground up, develop expertise in privacy-preserving analytics, and have the opportunity to work on high-impact projects including usage-based billing preparation and foundational tooling for a scalable data platform.

🎯 Requirements

  • • 4+ years of experience in Analytics Engineering, Data Engineering, or Business Intelligence, with ownership of production analytics systems.
  • • 2+ years of hands-on experience modeling analytics-ready data using dbt with SQL and/or Python.
  • • Expert-level SQL, including writing, optimizing, and debugging complex analytical queries.
  • • Proven ability to translate complex data into trusted models, metrics, and visualizations used by senior stakeholders.
  • • Deep experience with tools across the modern data stack, including querying MPP analytical databases (Snowflake, Databricks, Redshift, BigQuery, etc), building BI (e.g., Omni, Tableau, Looker, Power BI, Sigma, Mode, Hex), orchestrating data pipelines (e.g. Airflow, Dagster, Fivetran), and building transformations and semantic layers (e.g. dbt).
  • • Working proficiency in Python.

🏖️ Benefits

  • • Competitive geo-adjusted compensation with meaningful equity participation.
  • • 100% coverage of medical, dental, and vision premiums for employees and dependents.
  • • 401(k) match.
  • • 12 weeks paid parental leave for all parents, no waiting period.
  • • Stipends for family-forming needs and gender-affirming care.
  • • Generous vacation policy that is actively encouraged and used.

Skills & Technologies

Python
AWS
Data Science
Onsite

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Cape Privacy, Inc. logo
Cape Privacy, Inc.
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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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