AI Summary
Factored is looking for an Analytics Engineer to join their team. The ideal candidate will have 5+ years of experience in data analytics or analytics engineering-related fields. They will design, develop, and maintain data pipelines, data models, and ETL processes to support business operations.
Key Highlights
Design, develop, and maintain data pipelines, data models, and ETL processes
Work closely with stakeholders to understand their data requirements
Ensure data quality, accuracy, and consistency
Technical Skills Required
Benefits & Perks
Ownership through equity participation
Competitive salary
Annual company retreat
Education bonus
Paid time off
Optional in-person events and meetups
Tailored career roadmaps
Job Description
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 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.
- +5 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 experience performing advanced, modular SQL-based transformations.
- 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.
- Ownership through equity participation.
- Competitive salary for top AI & data talent.
- 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.
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.