Data Engineer: Privacy-Safe Inference & Audience Growth

Reliance Automated Verified Leads, LLC; Philippines; On-site; PHP 600,000 - 1,000,000; Full time

Job summary

Reliance Automated Verified Leads, LLC is seeking a Data Engineer to build and maintain privacy-safe data infrastructure powering audience development and marketing intelligence. This role ensures all data pipelines operate using aggregated, historical signals—never real-time incident or individual-level data.

You will collaborate with Growth and Compliance teams to implement governance, develop scalable ETL/ELT pipelines, and create reusable inference layers and segmentation workflows that

Qualifications

• Strong SQL and data modelling capabilities for large-scale datasets.
• Proficient in Python.
• Experience with cloud platforms (AWS, GCP, Azure).
• Experience with data warehouses (Snowflake, BigQuery, Redshift).
• Knowledge of data governance and compliance.
• Experience with aggregated geospatial data.

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.

Skills

SQL

Data modelling

Python

Cloud platforms

Data warehouses

Data governance

Geospatial data

Tools

dbt

Airflow

Dagster

Spark

Job description

Reliance Automated Verified Leads, LLC is seeking a Data Engineer to build and maintain privacy-safe data infrastructure powering audience development and marketing intelligence. This role ensures all data pipelines operate using aggregated, historical signals—never real-time incident or individual-level data.

You will collaborate with Growth and Compliance teams to implement governance, develop scalable ETL/ELT pipelines, and create reusable inference layers and segmentation workflows that