Job Title: Data Engineer (Marketing Intelligence)

Location: Remote

Commitment: (25–30 hours/week)

Experience: 3+ Years

Role Overview

We are looking for a specialized Data Engineer to bridge the gap between fragmented marketing platforms and our central data warehouse. This is not a marketing or campaign management role. This is a technical engineering role focused on the extraction, transformation, and loading (ETL/ELT) of complex marketing datasets.

The ideal candidate has spent significant time "under the hood" of GA4, Meta, and TikTok APIs, ensuring data integrity for high-stakes analytics.

Key Responsibilities

• Pipeline Development: Design and maintain robust data pipelines to ingest data from GA4 (BigQuery Export), Meta Ads API, TikTok Ads, and Google Tag Manager .
• Data Modeling: Transform raw marketing JSON/API outputs into clean, queryable schemas (Star/Snowflake) within the Data Warehouse.
• Schema Mapping: Resolve data discrepancies between platforms (e.g., reconciling click-through data from Meta vs. session data in GA4).
• API Management: Handle authentication (OAuth), rate-limiting, and pagination for various marketing vendor APIs.
• Quality Assurance: Monitor pipeline health to ensure marketing dashboards reflect real-time accuracy.

Technical Requirements

• Experience: 3+ years in Data Engineering with at least two dedicated Marketing Analytics projects in your portfolio.
• Stack: Proficiency in Python or Node.js for API scripting and advanced SQL for data transformation.
• Marketing Tech Proficiency:
• GA4: Deep understanding of the BigQuery export schema.
• GTM: Knowledge of how server-side tagging impacts data collection.
• Social APIs: Hands-on experience with Meta Graph API and TikTok Ads API.
• Cloud/Warehousing: Experience with Snowflake, BigQuery, or Redshift.
• ETL Tools: Familiarity with Fivetran, Airbyte, or dbt is a significant plus.