Experience applying software engineering best practices to analytics code (Version control, testing, continuous integration).
Strong experience building excellent data documentation in company-wide data discovery tools.
Excellent verbal and written communication skills in English.
Benefits
Ownership through equity participation.Annual company retreat.Education bonus for continuous learning.Company-wide winter break.Paid time off.Optional in-person events and meetups.Tailored career roadmaps.High-performance culture.Remote work optionsEquity / stock optionsPerformance bonus
Additional Information
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.
We are currently looking for a talented Senior Analytics Engineer to join our team. You will play a critical role in designing, developing, and maintaining the data infrastructure and analytics solutions that support business operations.
Functional Responsibilities:
Design, develop, and maintain data pipelines, data models, and ETL processes to support data integration, transformation, and aggregation.
Work closely with stakeholders to understand their data requirements and translate them into scalable analytics solutions.
Ensure data quality, accuracy, and consistency by implementing data validation, cleansing, and monitoring techniques.
Identify and implement optimizations to improve the efficiency and performance of data pipelines and analytics processes.
Build and test code using CI/CD best practices.
Perform transformations using state-of-the-art data to create data models for consumption, often leveraging data stack tools like DBT.
Write and maintain data catalogs and definitions.
Collaborate with data scientists and analysts to implement data-driven models, algorithms, and visualizations.
Factored · Latin America