Design, build, and maintain robust, scalable ELT/ETL data pipelines (batch and streaming) from various source systems into cloud data platforms and warehouses. Perform data modeling, including dimensional modeling, and build transformation layers using dbt to create clean, well-documented, analytics-ready datasets.
Support operational reliability, monitor data pipelines, and ensure SLAs for timeliness, freshness, and accuracy are consistently met. Requirements: 7+ years of professional experience in data engineering or a closely related role.
Strong proficiency in SQL and Python, with hands-on experience building data pipelines on cloud platforms like Snowflake, BigQuery, or Redshift. Experience with data orchestration tools (e.g., Apache Airflow) and solid understanding of data modeling techniques.
What We Offer
Comprehensive health
benefits
- Medical, dental, and vision coverage (100% employer-paid for employees). Flexible PTO with unlimited vacation and encouragement to actually use it
- Remote-first policy with work from anywhere in the US, plus an annual learning stipend and modern tech stack tools
- Troveo AI Troveo builds the data platform that AI labs and model builders need to train the next generation of models
- Backed by top investors, we’re a small, high-impact team solving one of the biggest bottlenecks in AI development. #J-18808-Ljbffr
