Data Engineer

Job not on LinkedIn

🔥 2 minutes ago

🇺🇸 United States – Remote

💵 $160k - $175k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

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Troveo AI

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2024

🤖 Artificial Intelligence

📱 Media

🤝 B2B

Artificial Intelligence • Media • B2B

Troveo AI is a company that curates, licenses, and delivers large-scale, rights-cleared video datasets engineered for training computer vision and multimodal AI models. They work directly with content creators and global licensors to produce annotated, training-ready clips with custom metadata and legal compliance, serving enterprise AI labs and platforms that need high-quality video for model development (e. g. , avatars, action recognition, and camera-motion-aware models). Troveo operates as a B2B data provider and platform focused on media-originated training data.

📋 Description

• Design, build, and maintain batch and streaming ELT/ETL data pipelines • Optimize pipelines for performance, reliability, scalability, and cost • Design and implement conceptual, logical, and physical data models, including dimensional, star, and snowflake schemas • Build and maintain transformation layers using modern tools such as dbt • Apply data modeling best practices, versioning, testing, and documentation • Write SQL queries for data exploration, ad-hoc analysis, and troubleshooting • Support reports, dashboards, and self-service analytics assets • Translate business questions into data requirements and deliver actionable insights or datasets • Monitor data pipelines and delivery processes to meet timeliness, freshness, and accuracy SLAs • Identify, troubleshoot, and resolve data issues affecting downstream consumers and business operations • Manage data availability and quality incidents and participate in on-call rotations as needed • Implement data quality checks, observability, and alerting • Automate operational tasks and improve data delivery processes • Collaborate with analysts, data scientists, engineers, and business stakeholders • Document data pipelines, models, lineage, and processes • Contribute to data governance, security, and data platform best practices

🎯 Requirements

• 5+ years of professional experience in data engineering or a closely related role • Strong proficiency in SQL and Python • Hands-on experience building and maintaining data pipelines • Experience with cloud data platforms/warehouses such as Snowflake, BigQuery, Redshift, or Databricks • Experience with data orchestration tools such as 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 such as Looker, Tableau, or Power BI • Proven ability to troubleshoot data issues and support operational reliability/SLAs • Strong communication skills and ability to collaborate with technical and non-technical stakeholders • Experience with dbt for data transformation and modeling • Knowledge of data observability/monitoring tools • Experience with real-time/streaming data technologies such as Kafka or Flink • Familiarity with CI/CD practices for data pipelines • Experience in data quality frameworks and governance • Bachelor’s degree in Computer Science, Engineering, or a related quantitative field, or equivalent practical experience • Ability to work from anywhere in the US • Legal authorization to work in the United States • Willingness to undergo a background check in accordance with local law/regulations

🏖️ Benefits

• Medical, dental, and vision coverage (100% employer-paid for employees) • Unlimited PTO • Paid holidays • Remote-first work policy • Annual learning stipend • Access to top conferences • Direct mentorship from experienced founders • Competitive equity package • Budget for equipment and software • High-trust, low-ego environment focused on impact, transparency, and work-life balance • Occasional team offsites