Remote Databricks Data Engineer for ML Platforms

Muttdata; Ciudad de México; Remote; MXN 900,000 - 1,300,000; Full time

Benefits offered by this job

Remote-first culture

AWS, DBT, Google Cloud, Azure & Databr

In-Company English Lessons

Birthday off + an extra vacation week

Referral bonuses

Maslow: Monthly credits to spend inour

Annual Mutters' Trip

Monthly Childcare Reimbursement

Job summary

Muttdata, a remote-first data products and ML startup, seeks a Data Engineer to build batch and streaming pipelines for a major multinational beverage client based in Mexico. You’ll shape semantic models, data contracts, and data quality for data products, collaborating across domains.

You will mentor domain engineers, contribute to platform improvements, and help optimize data infrastructure using Databricks, Python, and Spark in a remote environment.

Qualifications

• Experience in data engineering and building/optimizing data pipelines.
• Experience with Databricks, Python and Spark for batch and streaming.
• Familiarity with BI visualization tools like Looker or Tableau.

Responsibilities

• Co-develops batch and streaming pipelines, semantic models, and transformations on Databricks (Python/Spark).
• Defines and maintains data contracts, quality rules, and data SLOs for each dataproduct.
• Guides domain teams on data modeling and data product boundaries (what belongs to which product/domain).
• Trains, mentors and pairs with domain engineers/analysts on data product ownership and good engineering practices.
• Captures feedback and best practices from domains and feeds improvements back into platform templates, tooling, and patterns.

Skills

Data pipelines

Databricks / Spark / Python

BI Visualization Tools

Tools

Databricks

Python

Spark

Looker/Tableau

Job description

Muttdata, a remote-first data products and ML startup, seeks a Data Engineer to build batch and streaming pipelines for a major multinational beverage client based in Mexico. You’ll shape semantic models, data contracts, and data quality for data products, collaborating across domains.

You will mentor domain engineers, contribute to platform improvements, and help optimize data infrastructure using Databricks, Python, and Spark in a remote environment.