1 month ago
Mexico City, MexicoMid Level
Responsibilities
- Co-develop batch and streaming pipelines, semantic models, and transformations on Databricks using Python and Spark.
- Define and maintain data contracts, quality rules, and data SLOs for each data product.
- Guide domain teams on data modeling and data product boundaries.
- Train, mentor, and pair with domain engineers and analysts on data product ownership and engineering practices.
- Capture domain feedback and improve platform templates, tooling, and engineering patterns.
Requirements
- Experience in data engineering, including building and optimizing data pipelines.
- Experience working with Databricks, Python, and Spark for batch and streaming workloads.
- Familiarity with a BI visualization tool such as Looker or Tableau.
- Feature Store certification and financial data experience are nice to have.
- Experience developing AI agents or agentic infrastructure, including Mosaic AI Agent Framework, agent orchestration, or MCP, is nice to have.
Benefits
- Remote-first culture with work-from-anywhere flexibility.
- AWS, dbt, Google Cloud, Azure, and Databricks certifications fully covered.
- In-company English lessons.
- Birthday off and an extra vacation week.
- Referral bonuses.
- Monthly Maslow benefits-marketplace credits.
- Annual team trip.
- Monthly childcare reimbursement.
Tech Stack
Categories
Data Engineering
About Muttdata
Muttdata provides consulting and delivery of custom machine-learning and AI systems, data platforms, and big-data pipelines for digital-native startups and enterprises. The privately held company, founded in 2017 and headquartered in Buenos Aires, is an AWS Advanced Consulting Partner with the AWS Advertising and Marketing Technologies Competency. Notable customers include Mercado Libre, Coca-Cola FEMSA Mexico, ClassDojo, and PayClip.