Marketing Data Engineer - Ad Tech (US hours)

About this role

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.

Originally posted on Himalayas