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Data Engineer – Data Products

Stealth Startup Community — United States · Posted ~2 hours ago

Mid Full-time

Skills

Python SQL ETL Pipelines API Development Cloud Data Platforms (AWS) Data Modeling Data Warehousing AWS Spark Airflow Kafka ETL REST APIs

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Summary ✨ AI‑Generated

We are seeking a Data Engineer to build and maintain production ETL pipelines, data APIs, and scalable data products that power AI agents and customer intelligence. You will design data models for identity resolution, improve data quality and reliability, and partner with product and ML teams to deliver customer‑facing features. Strong Python and SQL skills, experience with cloud data platforms, and solid background in data modeling are essential.

Highlights

Build production data products powering AI agents and customer intelligence; collaborate with product and ML teams; work with cutting‑edge AI/LLM technologies; high‑impact role shaping data infrastructure.

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.