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RAVLCO is pleased to announce an opening for the position of Data Engineer – MVA Inference & Audience Development (Remote, Global).
Note: 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 one full-time 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, please email your resume and a cover letter detailing your relevant experience and what unique perspective you bring to the role to ari@ravlco.com. Please use the subject line: [Data Engineer Application – YOUR NAME].