Senior Data Engineer
Pubblicato il 13-10-2026 - Factored in Modena
Fully remote | Complete engagement job
Founded in Palo Alto by Dr. Andrew Ng and Israel Niezen, Factored helps U.S. companies build and scale world-class AI, ML, and Data teams, powered by the top 1% of LATAM talent, with a defining purpose: To empower brilliant humans, unleash their potential, and amplify their impact in the world.
At Factored, you’ll be part of a community that values learning, ownership, and authenticity, where your growth is personal and your ideas matter. We’re transparent, curious, and collaborative. We strive for excellence, celebrate diversity, encourage curiosity, and build an environment where you can truly thrive.
As a Senior Data Engineer, you will engage full-time in designing and evolving the data architectures that power intelligent products for global and Fortune 500 organizations. You’ll build high-performance pipelines, optimize large-scale processing frameworks, and design data models that enable analytics, machine learning, and enterprise-grade decision-making.
This role is ideal for engineers who excel at navigating complex data environments,
think in terms of scalable systems, and take ownership of data reliability, quality, and performance across the entire lifecycle. Your work will ensure teams can experiment faster, deliver smarter products, and unlock meaningful insights through trusted, well-orchestrated data.
We are especially interested in candidates with strong hands-on experience in Databricks and Snowflake, and exposure to graph-based data models or technologies is a strong plus.
Functional Responsibilities:
• Develop and maintain ETL (Extract, Transform, Load) processes using Python.
• Write efficient SQL queries to extract, manipulate, and analyze data from various databases.
• Design, build, and optimize large-scale data pipelines using modern cloud data platforms such as Databricks and Snowflake.
• Design and develop optimal data processing techniques, including automating manual processes, data delivery