Data Engineer
Summary
Build and maintain ETL pipelines and data warehouses that feed campaign analytics and reporting for a podcast-focused ad-tech agency.
We are a leading media and technology organization specializing in podcast advertising, audio media, and creator-driven marketing. We partner with brands and creators through strategy, technology, and data-driven insights to deliver measurable outcomes.
Our team manages campaigns across podcasts, radio, streaming audio, YouTube, and emerging creator platforms. We are committed to developing innovative solutions that help shape the future of digital advertising through research, analytics, and technology.
Our culture is built around three core values:
- Humility – Putting the mission before ego.
- Insight – Turning intelligence into meaningful impact.
- Ownership – Taking responsibility for delivering exceptional results.
We are looking for talented professionals who enjoy solving complex data challenges, building scalable systems, and collaborating across teams to drive business success.
The Role
As a Data Engineer, you will support the development and maintenance of the pipelines, datasets, and tools that power the company's analytics ecosystem. You'll help ensure clean, reliable data that fuels campaign insights, attribution, and reporting.
What You'll Do
- Build and maintain ETL/ELT workflows.
- Support data warehousing and data modeling initiatives.
- Integrate external publisher and platform datasets.
- Monitor, troubleshoot, and resolve data issues.
- Collaborate with Analytics and Client Services teams to meet data needs.
What Success Looks Like
- Stable, well-maintained data pipelines.
- Proactive identification and resolution of data issues.