Semi Senior Data Engineer
Core
Design, build, and maintain scalable data pipelines and analytics-ready models for digital marketing and advertising use cases, supporting reporting, measurement, and attribution.
Role type
Semi-Senior Data Engineer (Marketing Analytics)
Builds
End-to-end data pipelines, dbt models, and cloud infrastructure for DSPs, ad servers, and third-party media sources.
Domain
Digital Marketing & Advertising Technology
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL, Python, Cloud Infrastructure (GCP), Data Modeling (dbt), ETL/ELT, Terraform, CI/CD (GitHub Actions), Data Quality & Reconciliation
Preferred skills
LookML, JavaScript, Media Reporting UIs/APIs (DV360, SA360, Meta), Incrementality/Attribution modeling
Technologies
GCP (BigQuery, Dataflow, Cloud Run, Cloud Monitoring), AWS, Azure, dbt, Terraform, GitHub, DV360, SA360, Meta APIs
Responsibilities
Design and maintain dbt models integrating marketing data across DSPs and ad servers; Develop business logic for cross-platform metric allocation; Build ingestion pipelines from diverse external sources (cloud-to-cloud, SFTP, APIs); Own and evolve GCP cloud infrastructure using Terraform; Lead migration of legacy ingestion patterns to scalable solutions; Configure observability and alerting across the stack; Manage release lifecycle across QA, STG, and PROD environments; Collaborate with analytics and client-facing teams to translate requirements into data products.
Seniority
Semi-Senior, hands-on IC