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

Success

– 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, BigQuery, Redshift)

– Data governance experience

– Aggregated geospatial data experience

Are you interested in this position?

Apply by clicking on the “Apply Now” button below!

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