OverviewFactored was conceived in Palo Alto, California by Andrew Ng and a team of highly experienced AI researchers, educators, and engineers to help address the significant shortage of qualified AI & Machine-Learning engineers globally. We know that exceptional technical aptitude, intelligence, communication skills, and passion are equally distributed around the world, and we are very committed to testing, vetting, and nurturing the most talented engineers for our program and on behalf of our clients.
We are currently looking for a talented 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.
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.

Qualifications
- +3 years of experience working in data analytics or analytics engineering-related fields.
- Experience with the design of ETLs.
- Strong proficiency in programming languages such as Python, SQL, and T-SQL.
- Strong experience with Azure Data Factory, Synapse Analytics, or Snowflake.
- Experience with Data Visualization tools such as PowerBI.
- Previous experien

📌 Senior Analytics Engineer (Ciudad de México)
🏢 Factored
📍 Ciudad de México