Job Title: Performance Marketing Data Engineer / Product Feed Specialist
Employment Type: Contract
Location: Remote
Job Description
We are seeking an experienced contractor to support the Performance Marketing team on key data and marketing technology initiatives, particularly product feed management, marketing channel integrations, and data activation.
The ideal candidate will have strong expertise in SQL, Google BigQuery, product catalog management, reverse ETL, and API-based data integrations.
Required Skills:
* Advanced proficiency in Google BigQuery, including data modeling, query optimization, and table partitioning.
* Experience managing and transforming product catalogs using Feedonomics.
* Hands-on experience configuring conversion APIs and feeds for Meta, Google, TikTok, Impact, Pinterest, and other marketing platforms.
* Experience configuring and troubleshooting data synchronization workflows and pipelines using Hightouch.
* Hands-on experience building and consuming REST APIs, webhooks, and server-to-server data flows.
* Ability to troubleshoot data discrepancies, pipeline failures, feed errors, and integration issues.
* Strong communication and cross-functional collaboration skills.
Preferred Skills:
* Exposure to Google Cloud Platform serverless technologies, including Cloud Run, Cloud Functions, and Pub/Sub.
* Hands-on experience with Dataform for Google Cloud Platform-native data modeling.
* Experience using Dagster for data pipeline orchestration.
* Experience supporting e-commerce, retail, digital marketing, or performance marketing environments.
Key Responsibilities:
* Build, maintain, and optimize product data feeds for advertising and marketing platforms.
* Manage and transform product catalog data using Feedonomics.
* Develop and optimize BigQuery data models and SQL queries.
* Configure conversion APIs and marketing integrations across Meta, Google, TikTok, Impact, Pinterest, and other channels.
* Configure, monitor, and troubleshoot Hightouch synchronization pipelines.
* Build custom integrations using REST APIs, webhooks, and server-to-server workflows.
* Monitor data quality and resolve product feed, conversion-tracking, and synchronization issues.
* Collaborate with marketing, analytics, and engineering teams to deliver reliable data solutions.
* Document integrations, data mappings, pipelines, and troubleshooting procedures.
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