Marketing Data Engineer - Ad Tech (US hours)
Company shown to members 🔒 · Remote · South Africa only
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First recorded by Psst: 12 October 2026. Your first 3 jobs are free to apply to (the first right away, 2 more with your email). After that, the company and the apply link are for Psst members, from $4.99 for 7 days.
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The 20-second read
- Experience
- Experience not stated
- Where you can live
- South Africa only
- Skills and tools
- sql, python
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Job details
- Where you can work
- South Africa
- Employment type
- Not stated by the employer
- Advertised pay
- Not stated by the employer
- Experience
- Experience not stated
- Employer publication date
- 26 August 2026
- First recorded by Psst
- 12 October 2026
- Last checked at the source
- 8 November 2026
About the job
Our client in the US is looking for a Marketing Data Engineer to own the data pipelines and data-quality foundation that power their dashboards, pacing outputs and recurring reporting.
Core responsibilities
- Build and maintain API/ETL ingestion from DSPs, ad servers and other advertising platforms.
- Normalize campaign data and maintain metric definitions used across dashboards and reporting.
- Manage cloud-warehouse structures and client data deliveries where required.
- Reconcile pipeline output against raw platform exports and investigate material variance.
- Build automated data-quality checks, alerting and monitoring for pipeline/dashboard health.
- Manage service-account/API credential workflows in the clients owned environments.
- Support platform migrations and rebuild data integrations without reporting discontinuity.
- Partner with Dashboard Developer and Programmatic Lead on definitions, mapping and release validation.
Requirements
Must-have profile
- 4+ years in data engineering/analytics engineering with production ETL/API responsibility.
- Strong SQL plus at least one production programming/scripting language such as Python.
- Experience with cloud data warehouses such as BigQuery, Snowflake or equivalent.
- Experience reconciling data across multiple source systems and designing data-quality controls.
- Ability to own production pipelines, troubleshoot failures and document data definitions clearly.
Preferred experience
- Direct experience with advertising/marketing platform APIs and campaign data.
- Experience with DV360 or other DSP data models, ad-server data or marketing attribution feeds.
- Experience with scheduled reporting/alerting and secure client data delivery.
What success looks like
- Reporting data is reliable and reconciles within agreed tolerance.
- Pipeline failures or data lag are detected before clients notice.
- Platform changes do not create reporting gaps.
- Metric definitions remain consistent across dashboards and recurring reports.
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