Key Facts

Remote From:

Anywhere

Full time

English

Hard Skills

Other Skills

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Collaboration
•
Virtual Collaboration

Roles & Responsibilities

Strong SQL skills and experience with data modeling
Proficiency in Python
Experience with cloud platforms (AWS, GCP, or Azure)
Familiarity with modern data warehouses (Snowflake, BigQuery, Redshift)

Requirements:

Design, build, and maintain ETL/ELT data pipelines
Develop reusable inference layers for audience modeling
Create standardized, audit-ready segmentation workflows
Implement data governance practices (lineage, validation, logging)

Wisepath Group

About Wisepath Group

Many individuals across the United States have a lifetime to plan for retirement. It's essential that your retirement income is designed to last, ensuring financial assistance for potential long-term care needs and leaving a substantial legacy for the generations to come. That's why we structure financial strategies to make your retirement stress-free. Most retirement strategies only focus on accumulating as much money as possible until retirement, not accounting for inflation and how much retirees need to spend for a comfortable life with or without long-term care. We use a different approach by making sure you could potentially increase your retirement income with the some guarantees, without any more out of pocket now. Instead of having to catch up, we want you to enjoy a smooth retirement without worrying about the money. We work closely with Elder and Estate Law Firms to help them protect client assets without necessarily triggering a taxable event or causing other legal complications. Wisepath Financial Group is authorized to conduct life insurance and securities business in NC and may be licensed in other states. Financial Professionals cannot conduct life insurance or securities business in states in which they are not licensed. Registered representative and Investment Advisor Representative of and securities offered through OneAmerica Securities, Inc., a Registered Investment Advisor, Member FINRA, SIPC. Wisepath Financial Group is not an affiliate of OneAmerica Securities or the companies of OneAmerica and is not a broker dealer or Registered Investment Advisor. This communication is not a recommendation or endorsement of any product, service, security or issuer. Third party posts do not reflect the views of Wisepath Financial Group and have not been reviewed for completeness and accuracy. For additional information, refer to the following consumer websites: FINRA.org, SIPC.org.

Founded: 2018

Company size: 11 - 50

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Job description

Job Title: Data Engineer – MVA Inference & Audience Development (Remote)
Company: Liberty Legal Network
Location: Remote (Global)
Job 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 improving outcomes through intelligent data, precision matching, and scalable technology.

About the Role

We’re looking for a Data Engineer to design and build scalable, privacy-first data systems that power audience development and marketing intelligence.

In this role, you’ll develop reliable data pipelines and inference systems using aggregated, historical data—ensuring all infrastructure meets strict compliance and governance standards. You’ll collaborate closely with Growth and Compliance teams to deliver high-quality, actionable insights.

What You’ll Do

Design, build, and maintain ETL/ELT data pipelines
Develop reusable inference layers for audience modeling
Create standardized, audit-ready segmentation workflows
Implement data governance practices (lineage, validation, logging)
Perform geospatial aggregation (ZIP, county, corridor-level data)
Partner with Growth and Compliance teams to support data-driven initiatives

What Success Looks Like (First 60–90 Days)

Production-ready, monitored data pipelines
Established and governed inference layer library
Consistent, scalable segmentation workflows
Measurable improvements in audience targeting performance

What You Bring

Strong SQL skills and experience with data modeling
Proficiency in Python
Experience with cloud platforms (AWS, GCP, or Azure)
Familiarity with modern data warehouses (Snowflake, BigQuery, Redshift)
Experience implementing data governance and quality controls
Experience working with aggregated or geospatial datasets

Compliance & Data Standards

Work exclusively with aggregated, historical datasets (45+ days old)
No use of real-time or individual-level data
Apply best practices in data privacy, governance, and auditability
Understand the distinction between inferred insights and direct knowledge
Support vendor compliance and data audit processes

Nice to Have

Experience with marketing or audience segmentation systems
Familiarity with privacy frameworks (CCPA, GDPR, TCPA)
Experience with tools such as dbt, Airflow, Dagster, or Spark

Compensation

Compensation is competitive and based on experience, skills, and location.

Why Join Us

Work on impactful technology that improves access to legal services
Build privacy-first data systems in a rapidly evolving space
Collaborate with cross-functional teams in a fully remote environment
Opportunity to shape scalable data infrastructure from the ground up

We are committed to equal opportunity and diversity in the workplace. We consider all qualified applicants without regard to race, color, religion, gender, sexual orientation, national origin, disability, or veteran status. All inquiries and applications are kept confidential.

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