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Data Engineer

Ravlco — Georgia · Posted ~1 week ago

Mid Remote

Skills

SQL Python Data Modeling AWS Azure GCP Snowflake BigQuery Redshift Data Governance dbt Airflow Spark

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Summary

Develop secure, compliant data infrastructure using cloud platforms, modern data warehouses, and scalable ETL pipelines while emphasizing governance and privacy.

Highlights

Global remote opportunity, focus on privacy-safe data engineering, modern cloud platforms, and governance-driven development.

Description

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 pipelinesDevelop reusable inference layersCreate audit-ready segmentation workflowsImplement governance controls (lineage, validation, logging)Perform geospatial aggregation (ZIP, county, corridor)Collaborate with Growth and Compliance teams Success (60–90 Days) Reliable, monitored pipelinesGoverned inference layer libraryStandardized segmentation workflowsImproved audience performance Required Qualifications Strong SQL and data modellingPython proficiencyCloud platforms (AWS, GCP, Azure)Data warehouses (Snowflake, BigQuery, Redshift)Data governance experienceAggregated geospatial data experience Compliance Expectations Understand inference vs. knowledgeUse only aggregated historical data (45+ days old)No real-time or individual-level data usageVendor diligence and audit logging Nice to Have Marketing segmentation experiencePrivacy 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.