Yerləşmə
Azərbaycan
Təcrübə
Middle
Məşğulluq
Tam ştat
Əməkhaqqı
Göstərilməyib
Yerləşdirilib
27 mart 2026

Vakansiya haqqında

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.

Şirkət haqqında

Reliance Automated Verified Leads, LLC
Marketing Services · 11-50

All the tools you need to grow in one place | RAVLCO provides a turnkey data-intelligence platform that helps mid-size and enterprise services companies source, verify, and enrich high-intent leads—all within a unified client engagement system. We combine multi-channel outreach (compliant email, SMS, WebChat, voicemail drops, digital ads, and payment funnels) with deep data enrichment—including credit attributes, public records, and sentiment analytics—to deliver fully orchestrated “lead-to-loyalty” workflows. Our platform helps complex teams scale pipeline generation, ensure compliance, and improve relationship management without adding operational overhead.

Reliance Automated Verified Leads, LLC — bütün vakansiyalar

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Data engineer
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