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Data Engineer

Ravlco — Armenia · Posted ~1 week ago

Mid Remote

Skills

SQL Python Data modeling ETL Cloud platforms Data governance AWS GCP Azure Snowflake BigQuery Redshift dbt Airflow Dagster Spark

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Summary

Help build secure, compliant data infrastructure using modern cloud technologies, governance practices, and scalable ETL pipelines while supporting marketing intelligence through aggregated data.

Highlights

Global remote opportunity focused on privacy-safe data engineering, governance, and scalable data pipelines.

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.