Data Engineer – MVA Inference & Audience Development (Remote, Global)

Company: Reliance Automated Verified Leads, LLC

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, 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
Compensation
* Compensation is based on experience, skills, and location and will be competitive within the global market.

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