Remote Data Engineer

About Troveo Troveo builds the data platform that AI labs and model builders need to train the next generation of models. We have created the world's largest licensed platform of scarce, proprietary data for AI, spanning video, audio, text, and business workflows. Troveo indexes, enriches, and packages this high-quality data into formats ready for training, fine-tuning, evaluation, and agentic use cases.

Backed by top investors, we’re a small, high-impact team solving one of the biggest bottlenecks in AI development. Role Overview We are seeking a versatile, hands-on Data Engineer to build and maintain a scalable analytics data warehouse while contributing to data modeling, performing data analysis, and ensuring the reliable delivery of data to downstream teams and systems. This hybrid role combines core data engineering responsibilities with data modeling, analytics, and operational support.

You will own the full analytics data lifecycle, from ingestion and transformation to modeling, quality assurance, and timely delivery, while partnering closely with software engineers and business stakeholders. Key Responsibilities Data Pipeline Engineering Design, build, and maintain robust, scalable ELT/ETL data pipelines (batch and streaming) from various source systems into cloud data platforms and warehouses. Optimize pipelines for performance, cost, reliability, and scalability.

Design and implement conceptual, logical, and physical data models (including dimensional modeling, star/snowflake schemas). Build and maintain transformation layers using modern tools (e.g., dbt) to create clean, well-documented, analytics-ready datasets. Apply data modeling best practices, versioning, testing, and documentation to ensure consistency and reusability.

Data Analysis participate in on-call rotations as needed. Implement data quality checks, observability, and alerting to maintain high reliability of data deliveries. Automate operational tasks and continuously improve data delivery processes.

Collaboration