Data Engineer

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🕒 vor 10 Tagen

🏄 California, New York – Remote

🏄 California – Remote 🗽 New York – Remote

💵 $100.000 - $140.000 / Jahr

⏰ Vollzeit

🟠 Senior

🔴 Experte

🚰 Dateningenieur

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Troveo AI

WebsiteLinkedInAlle Stellen

11 - 50 Mitarbeiter

Gegründet 2024

🤖 Künstliche Intelligenz

📱 Medien

🤝 B2B

Artificial Intelligence • Media • B2B

Troveo AI ist ein Unternehmen, das umfangreiche, rechtefreigegebene Video-Datensätze kuratiert, lizenziert und liefert, die speziell für das Training von Computer-Vision- und multimodalen KI-Modellen entwickelt wurden. Sie arbeiten direkt mit Inhaltsproduzenten und globalen Lizenzgebern zusammen, um annotierte, trainingsbereite Clips mit benutzerdefinierten Metadaten und rechtlicher Compliance zu produzieren. Dadurch dienen sie Unternehmen und Plattformen, die hochqualitative Videos für die Modellentwicklung benötigen (z. B. Avatare, Aktionserkennung und kamerabewegungsbewusste Modelle). Troveo agiert als B2B-Datenanbieter und Plattform, die sich auf medienspezifische Trainingsdaten konzentriert.

Beschreibung

• 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. • Write optimal SQL queries for data exploration, ad-hoc analysis, and troubleshooting. • Support the creation of reports, dashboards, and self-service analytics assets in collaboration with data analysts and business teams. • Translate business questions into data requirements and deliver actionable insights or datasets. • Monitor data pipelines and data delivery processes to ensure SLAs for timeliness, freshness, and accuracy are consistently met. • Proactively identify, troubleshoot, and resolve data issues impacting downstream consumers or business operations. • Manage incidents related to data availability and quality; participate in on-call rotations as needed. • Document data pipelines, models, lineage, and processes.

🎯 Anforderungen

• 7+ years of professional experience in data engineering or a closely related role (analytics engineering experience is highly relevant). • Strong proficiency in SQL and Python. • Hands-on experience building and maintaining data pipelines and working with cloud data platforms/warehouses. (Snowflake, BigQuery, Redshift, Databricks, etc.). • Experience with data orchestration tools (Apache Airflow, Dagster, Prefect, or similar). • Solid understanding of data modeling techniques and dimensional modeling. • Experience performing data analysis and working with BI/visualization tools (Looker, Tableau, Power BI, or similar). • Proven ability to troubleshoot data issues and support operational reliability/SLAs. • Strong communication skills and ability to collaborate with both technical and non-technical stakeholders.

🏖️ Vorteile

• Comprehensive Health Benefits: Medical, dental, and vision coverage (100% employer-paid for employees) • Flexible PTO & Paid Holidays: Unlimited PTO with encouragement to actually use it • Remote First Policy: Work from anywhere in the US (with occasional team offsites) • Learning & Growth: Annual learning stipend, access to top conferences, and direct mentorship from experienced founders • Equity Ownership: Competitive equity package with clear growth potential as we scale • Modern Tech Stack & Tools: Budget for the best equipment and software • Strong Culture: High-trust, low-ego environment focused on impact, transparency, and work-life balance. We believe great work happens when people are supported, challenged, and given ownership.