About this role

Design and build Cape's data platform from the ground up, spanning the warehouse, query layer, and pipeline orchestration, built with privacy as a first-class requirement from day one.
Work closely with engineering to establish privacy-preserving patterns and practices that the rest of the company builds on.
Give product, operations, and leadership the self-serve analytics they need such as dashboards, metrics, and reports that answer real questions.
Establish the data engineering practices Cape will build on such as pipeline conventions, testing, documentation, and a culture of treating data infrastructure with the same rigor we apply to our telecom stack.

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.
Strong written and verbal communication skills, with the ability to work effectively across engineering, product, and business stakeholders.

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
Gender-affirming care
Unlimited PTO

Data Engineer

Key skills