Инженер данных – MVA inference & развитие аудитории

в Reliance Automated Verified Leads, LLC

О роли

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.
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.
Локация
Gəncə
Занятость
Полная занятость
Зарплата
Не указана
Опубликовано
20 июля 2026

О компании

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

Ваш отклик

Этот работодатель принимает отклики у себя на сайте. Перейдите на страницу вакансии и заполните форму там.

Перейти на страницу работодателя

Похожие по навыкам

Все похожие вакансии

Вакансии, где совпадает больше всего навыков из этой позиции.

Все похожие вакансии
Не указана
Инженер данных – MVA inference & развитие аудитории
Откликнуться