Data Engineer- (Internal)

Factored 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.

As an internal Data Engineer, you'll play a vital role in shaping Factored into a truly data-driven company and driving scalable operations. You'll architect and maintain high-impact data pipelines in Databricks, AWS, and Terraform, ensuring strong governance, automating security, optimizing ETL processes, and building reusable components that empower teams and unlock analytics and products.

Functional Responsibilities:

• Develop dbt models to transform the data according to business requirements.
• Model data according to best practices to facilitate the production of data analytics.
• Develop Python classes and dbt macros as reusable components for data for extraction, transformation, and governance.
• Develop Extract & Load processes using Airbyte, DLT, Databricks, or other relevant tools.
• Deploy AWS services by building Terraform modules for infrastructure, data ingestion and processing, data governance..
• Configure Airbyte connections.
• Configure and optimize Databricks jobs to handle the entire data lifecycle, including reverse ETL.
• Ensure data interoperability, standardization, and governance across domains.
• Monitor our data pipelines and implement solutions when needed.
• Support other Data Engineers and Analytics Engineers who use the data platform components.
• Partner with other engineers to design and implement complex solutions.

Qualifications:

• Proficiency in Python and SQL.
• Experience with cloud Data Warehouse/Lakehouse technologies (Databricks, Snowflake, BigQuery, or Redshift), cloud platforms (AWS, GCP, or Azure), and IaC tools (Terraform or CloudFormation).
• Strong understanding of data engineering principles, data modeling, and data pipelines
• Knowledge of data governance best practices
• Experience with CI/CD and GitHub Actions

Nice To Have: 

• Experience with APIs
• Familiarity with Databricks
• Familiarity with AWS
• Familiarity with Terraform
• Familiarity with dbt

At Factored, we believe that passionate, smart people expect honesty and transparency, as well as the freedom to do the best work of their lives while learning and growing as much as possible. Great people enjoy working with other passionate, smart people, so we believe in hiring right, and are very selective about who joins our team. Once we hire you, we will invest in you and support your career and professional growth in many meaningful ways. We hire people who are supremely intelligent and talented, but we recognize that intelligence is not enough. Perhaps more importantly, we look for those who are also passionate about our mission and are honest, diligent, collaborative, kind to others, and fun to be around. Life is too short to work with people who don’t inspire you.     We are a transparent workplace, where EVERYBODY has a voice in building OUR company, and where learning and growth are available to everyone based on their merits, not just on stamps on their resume. As impressive as some of the stamps on our resumes are, we recognize that human talent and passion exist everywhere, and come from many backgrounds, so stamps matter much less than results. All of us are dedicated doers and are highly energetic, focusing vehemently on execution because we know that the best learning happens by doing. We recognize that we are creating OUR COMPANY TOGETHER, which is not only a high-performing fast-growing business but is changing the way the world perceives the quality of technical talent in Latin America. We are fueled by the great positive impact we are making in the places where we do business and are committed to accelerating careers and investing in hundreds (and hopefully thousands) of highly talented data science engineers and data analysts.    In short, our business is about people, so we hire the best people and invest as much as possible in making them fall in love with their work, their learning, and their mission.  When not nerding out on data science, we love to make music together, play sports, play games, dance salsa, cook delicious food, brew the best coffee, throw the best parties, and generally have a great time with each other.