Data Engineer – MVA Inference & Audience Development (Remote, Global)
Role summary
Liberty Legal Network is seeking a global, remote Data Engineer to build and maintain privacy-safe data infrastructure for audience development and marketing intelligence. This role focuses on aggregated, historical data (45+ days old), ensuring compliance and governance. Key responsibilities include developing ETL/ELT pipelines, inference layers, and geospatial aggregation. Success within 60-90 days involves establishing reliable pipelines, a governed inference library, and standardized segmentation workflows. Required qualifications include strong SQL, Python, cloud platform experience (AWS, GCP, Azure), data warehousing (Snowflake, BigQuery, Redshift), data governance, and geospatial data aggregation.
Regardless of the location stated, we are hiring globally. Please note, however, that working hours are centered on U.S. Eastern Standard Time.
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
Success (60–90 Days)
- Reliable, monitored pipelines
- Governed inference layer library
- Standardized segmentation workflows
- Improved audience performance
Required Qualifications
- Strong SQL and data modeling
- 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.
To Apply:
https://wisepathgroup.applytojob.com/apply/bO0qwqvD8O/Data-Engineer
Pay: $70,286.42 - $84,646.02 per year
Work Location: Remote
