Marketing Data Engineer - Ad Tech (US hours)
A US-based client is seeking a Marketing Data Engineer to build and maintain data pipelines, API ingestion, and data-quality foundations for advertising platforms. The role requires experience with SQL, Python, cloud data warehouses, and ETL development.
Can a South African apply?
The employer’s own job board lists this role’s eligible location as:
South Africa (Remote)
Taken from the structured location field on the employer’s job board, not from the wording of the advert, when we last checked it on 2026-09-27. Employers change eligibility without notice — the employer’s page is the authority, not this one.
What it pays
Not published. This posting states no figure, and we do not estimate one. Ask during the first conversation.
The full posting
Reproduced from the employer’s own listing, unedited.
Read the posting in full · 249 words
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.
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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