Data Engineer building and maintaining an analytics data warehouse, including ELT/ETL pipelines, dimensional data models, and dbt transformations. Responsibilities include SLA monitoring, data quality checks, and SQL/BI analysis support. Stack includes Python, cloud warehouses such as Snowflake or BigQuery, and orchestration tools like Airflow or Dagster.
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 reliable data delivery 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
Data Analysis & Reporting Support
Operational Support & Data Deliveries
Collaboration & Best Practices
Requirements
Bonus Points
Compensation
What We Offer
Equal Opportunity Employer
Troveo is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.