Data Engineer – MVA Inference & Audience Development (Remote, Global)
Reliance Automated Verified Leads, LLC
Remote (Anywhere)
Accepting Applications
Full-time
Remote
Posted 1 week, 1 day ago
0 views
0 applications
Job Description
📍
**Note:**
Regardless of the location listed, this position is open to remote applicants worldwide. However, please be aware that our core working hours are centered around
**US Eastern Standard Time (EST)**
, and candidates should have a schedule that allows for significant overlap with this time zone.
**About RAVLCO**
RAVLCO (Reliance Automated Verified Leads Company) is a modern, privacy\-first technology platform that helps businesses grow through intelligent audience development and automated customer engagement. We combine powerful CRM tools, unified messaging, webchat, automated reviews, and data\-driven lead tracking — all in one seamless platform — while maintaining the highest standards of compliance and ethical data use.
**Our Mission**
Our mission is simple: to build a better future where technology creates good jobs for everyone. We specialize in delivering precise, privacy\-safe audience targeting and lead generation solutions that drive real business results without ever compromising trust or regulatory standards. Headquartered in the United States and fully remote\-friendly, RAVLCO is where innovative marketing technology meets uncompromising data ethics.
**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.
**To Apply**
https://wisepathgroup.applytojob.com/apply/bO0qwqvD8O/Data\-Engineer
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