Job Description
Data Engineering at Influur:
- Build and improve data infrastructure from scratch.
- Design and operate ETL and ELT pipelines using Airflow or Dagster, plus dbt for transformations.
- Integrate third-party APIs and datasets, ensuring reliability and governance.
Data Product Ownership:
- Treat data as a product and ship improvements that are tangible to users.
- Set measurable SLAs and strive to keep them performing well.
- See ambiguity as an opportunity to design the standard that others will follow.
Collaboration and Communication:
- Communicate clearly with ML engineers, analysts, and business partners.
- Conduct experiments, data measurement, and iterative improvements.
- Own problems across different technology layers from data ingestion to modeling.
About Influur
Influur is redefining how advertising works through creators, data, and AI, aiming to make influencer marketing as measurable, predictable, and scalable as paid ads.