Data Engineer

Preferred

• 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.

Nice to Have

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