Data Engineer 

Job Description

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

Required Qualifications

• Strong SQL and data modelling
• Python proficiency
• Cloud platforms (AWS, GCP, Azure)
• Data warehouses (Snowflake, BigQuery, 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

Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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