Data Engineer – MVA Inference & Audience Development (Remote, Global) Job
If this is a scam...
Mark as SPAM
Thank you for helping!...
Undo
Employer: Liberty Legal Network
SpiderID: 14156517
Location: High Point, North Carolina
Posted: 3/21/2026
Wage:
Priority Review Date: 6/19/2026
Job Code / NOC / SOC:
Category: Marketing
Job Description:
Note: We encourage applications from candidates in any country. However, working hours are centered around 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.
Apply at:
https://wisepathgroup.applytojob.com/apply/bO0qwqvD8O/Data-Engineer
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.
Apply at:
https://wisepathgroup.applytojob.com/apply/bO0qwqvD8O/Data-Engineer
Job Criteria:
Start Date:
Position Type: Contractor
Experience:
Education:
Travel:
Vacation:
Company Profile:
Be the obvious choice for people who find you online. Stand out on the sites that matter by easily collecting hundreds of customer reviews.
Contact Information:
| Contact Name: Arman Baqbani | Type: Employer |
| Company: RAVLCO | |
| Web Site: https://www.ravlco.com/ | |