Data Engineer – Data Products
Indexed description
A Data Engineer, Data Products at Minerva AI builds production data products and backend infrastructure that power AI agents and customer intelligence. You'll transform complex datasets into scalable APIs and high-quality data services used across the platform.
What you'll do
- Build production ETL pipelines and data APIs.
- Develop scalable data products for AI and analytics.
- Design data models supporting customer identity resolution.
- Improve reliability, performance, and data quality.
- Partner with product and ML teams to ship customer-facing features.
Must-have requirements
- 4+ years of Data Engineering experience.
- Strong Python and SQL skills.
- Experience building ETL pipelines and APIs.
- Knowledge of cloud data platforms (AWS preferred).
- Strong understanding of data modeling and warehousing.
Nice to have
- Spark, Airflow, Kafka, or streaming data.
- AI or LLM data pipeline experience.
- Experience building customer data platforms (CDPs).
Red flags
- Analytics-only or dashboard-focused experience.
- No backend engineering or API development.
- Limited cloud or production pipeline ownership.
Remote? ❌ No — On-site in New York City.
Create a free Caio profile to unlock more results and save your role and location preferences.
Unlock free search