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Ad title:
Data Engineer - MVA Inference & Audience Development
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| Provided By:
RAVLCO
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Published: 30 March
/ Deadline: 30 April
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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].
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