Data Analytics Engineer

• *Data Analytics Engineer**

📍

• *Location**

Remote (Mexico-based candidates supporting U.S. clients)

🕒

• *Schedule**

Monday to Friday

⏰ 9:00 am – 6:00 pm CST

💰

• *Salary & Benefits
• *Payroll (MXN):

46,000 – 48,000 MXN + law benefits

• *Direct/Contractor (MXN):**

57,000 – 59,00 MXN net + benefits

🚀

• *About the Role**

We’re looking for an

• *Analytics Engineer**

who enjoys working close to the data

• and*

the business. This role sits at the intersection of data analysis, data modeling, and data engineering, with a strong emphasis on turning raw data into meaningful, well-structured datasets that drive decision-making.

If you enjoy exploring data, building clean models, and thinking about how data supports business outcomes, this role is for you.

• *🌟 What You’ll Do
• Explore and profile data sources to understand structure, quality, and business context
• Extract data from APIs, databases, and spreadsheets using Python
• Transform and model data using
• *dbt

(dimensional models, data marts)

• Implement data quality checks and monitoring processes
• Automate and orchestrate end-to-end data workflows
• *🛠 Required skills
• Strong experience with
• *Python

(pandas, requests, cloud client libraries)

• dbt

or strong

• *SQL**

skills

• Data analysis and data modeling experience (exploring data and modeling it for business use cases)
• Experience with
• *GCP**

(BigQuery, Cloud Run, Cloud Workflows) or equivalent cloud platforms

• Familiarity with
• *CLI tools**

(bash, gcloud, etc.)

• Experience using
• *Docker
• Version control with
• Git
• Bonus: Experience in marketing or CPG data — not required, just a plus
• 💡 Soft skills we value
• Autonomous:**

Able to take ownership and move projects forward with minimal supervision

• Problem solver:

Comfortable figuring things out and unblocking yourself

• Proactive communicator:

Knows when to ask questions and can clearly explain challenges and ideas

This is primarily an

• *Analytics Engineer**

position with some

• *Data Engineering**

responsibilities. While data ingestion and workflow automation are important, the core focus is on

• *data modeling, data analysis, and business-oriented thinking**

.

If you’re passionate about building high-quality data models and turning data into actionable insights, we’d love to hear from you.

👉

• *Apply and join us!**