Senior Analytics Engineer
Posted 510 days ago, which is unusual. The employer's own board was still carrying it when we last read it, 2 hours ago.
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 3h ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 510d ago
The date the source published, not the day we noticed it (2025-04-22). Last seen at its source 2h ago.
Is it remote?
The listing says yes
The location field doesn't say remote, so our assessment is based on the title or the description. Read the listing before applying.
Who may apply?
LATAM
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay $7,062–7,250/mo
Middle 50% of 18 listings that do state pay — Engineering · Senior · LATAM · USD/month. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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greenhouse employer's own board first seen 11d ago · last seen 2h ago
The listing
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.
Qualifications:
- +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.
Our 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.