Data Engineer

Responsibilities

• Design and build Cape's data platform from the ground up, spanning the warehouse, query layer, and pipeline orchestration, with privacy as a first-class requirement.
• Work closely with engineering to establish privacy-preserving patterns and practices.
• Provide product, operations, and leadership with self-serve analytics including dashboards, metrics, and reports.
• Establish data engineering practices such as pipeline conventions, testing, documentation, and rigorous standards for data infrastructure.

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.
• Solid understanding of privacy-preserving data practices including access control, data minimization, and identifier management.
• Strong written and verbal communication skills, with the ability to work effectively across engineering, product, and business stakeholders.

Nice-to-Haves

• Experience in a regulated or privacy-sensitive industry (telecom, healthcare, fintech).
• Background in differential privacy, k-anonymity, or other formal privacy models.

Compensation

• Salary range: $180,000-$235,000 (New York, New York).
• Equity.
• Benefits: 401(k) match, 100% coverage of medical/dental/vision premiums, 12 weeks paid parental leave, stipends for family-forming and gender-affirming care, unlimited PTO.