Marketing Data Engineer - Ad Tech (US hours)
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 21h ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 20d ago
The date the source published, not the day we noticed it (2026-08-26). Last seen at its source 3h ago.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
South Africa
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay €72.1k–106.1k/yr
Middle 50% of 78 listings that do state pay — Engineering · all levels · EMEA · EUR/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
workable employer's own board first seen 11d ago · last seen 3h ago
The listing
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.