게시됨 2026-04-08
About the Role
We are hiring a Data Engineer to build and maintain compliant, privacy-safe data infrastructure that powers audience development and marketing intelligence systems. This role ensures all data pipelines operate using aggregated, historical signals—never real-time incident or individual-level data.
Key Responsibilities
Build and maintain ETL/ELT pipelines
Develop reusable inference layers
Create audit-ready segmentation workflows
Implement governance controls (lineage, validation, logging)
Perform geospatial aggregation (ZIP, county, corridor)
Collaborate with Growth and Compliance teams
Success (60–90 Days)
Reliable, monitored pipelines
Governed inference layer library
Standardized segmentation workflows
Improved audience performance
Required Qualifications
Strong SQL and data modelling
Python proficiency
Cloud platforms (AWS, GCP, Azure)
Data warehouses (Snowflake, Big Query, Redshift)
Data governance experience
Aggregated geospatial data experience
Compliance Expectations
Understand inference vs. knowledge
Use only aggregated historical data (45+ days old)
No real-time or individual-level data usage
Vendor diligence and audit logging
Nice to Have
Marketing segmentation experience
Privacy frameworks (CCPA, GDPR, TCPA)
dbt, Airflow, Dagster, Spark
Compensation Compensation is based on experience, skills, and location and will be competitive within the global market.
