Data Engineer MVA Inference And Audience Development Remote Global

Company: Liberty Legal Network

Location: Remote (Global)

Employment Type: Full-Time

About Liberty Legal Network

Liberty Legal Network is a legal technology platform that uses AI-powered matching to connect individuals with specialized law firms nationwide. Our mission is to simplify access to legal representation while maximizing outcomes through intelligent data, precision matching, and scalable technology.

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
  
  

• Reliable, monitored pipelines
• Governed inference layer library
• Standardized segmentation workflows
• Improved audience performance
  
  

• Strong SQL and data modeling
• Python proficiency
• Cloud platforms (AWS, GCP, Azure)
• Data warehouses (Snowflake, BigQuery, Redshift)
• Data governance experience
• Aggregated geospatial data experience
  
  

• 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
  
  

• Marketing segmentation experience
• Privacy frameworks (CCPA, GDPR, TCPA)
• dbt, Airflow, Dagster, Spark