---
title: "Data Analytics Engineer  - Feature Engineering - Databricks - #3"
company: "Muttdata"
company_url: "https://www.remjobs.works/companies/muttdata"
url: "https://www.remjobs.works/job/muttdata-data-analytics-engineer-feature-engineering-databricks-3-518ebcde-14e1-4cc1-abf5-be2449a316d8"
apply_url: "https://jobs.lever.co/muttdata/f476bdc4-d3d1-4441-b80f-83e4fd9354ff"
workplace: remote
location: "Remote"
employment_type: other
seniority: mid
role: data
region: other
skills: ["aws", "azure", "databricks", "dbt", "gcp", "llm", "python", "sql"]
date_posted: 2026-09-15T12:01:52.010Z
first_seen_by_remjobs: 2026-09-19T22:11:41.625Z
---

# Data Analytics Engineer  - Feature Engineering - Databricks - #3

**Muttdata** · Remote

Apply: https://jobs.lever.co/muttdata/f476bdc4-d3d1-4441-b80f-83e4fd9354ff

## About Muttdata

We help companies build modern data platforms and AI systems using Databricks and scalable architectures. Turn data into real business impact.

## About the role

**🚀 Join Our Remote Data Products & Machine Learning Startup! 🚀**

At Muttdata, we build innovative Data Products and Machine Learning solutions that help companies solve complex business challenges. As a fast-growing, remote-first startup, we're passionate about technology, collaboration, and continuous learning.

**This opportunity is with a leading multinational beverage company based in Mexico City.**

We are looking for a** Data Analytics Engineer — Feature Engineering **to join our team 🐶🚀. You'll build and govern the features that power our Credit Score financial model, ensuring reliable, reusable, and auditable signals as the raw material for credit risk — under the AI Factory Feature Store standard.

This role works closely with modeling and platform teams, turning transactional and credit behavior data into trustworthy, well-governed features. Attention to detail, strong data governance instincts, and a reuse-first mindset are essential to succeed in this fast-paced, collaborative environment.

##### 🚀 What We Do

- Leveraging our expertise, we build modern Machine Learning systems for demand planning and budget forecasting.

- Developing scalable data infrastructures, we enhance high-level decision-making, tailored to each client.

- Offering comprehensive Data Engineering and custom AI solutions, we optimize cloud-based systems.

- Using Generative AI, we help e-commerce platforms and retailers create higher-quality ads, faster.

- Building deep learning models, we enhance visual recognition and automation for various industries, improving product categorization, quality control, and information retrieval.

- Developing recommendation models, we personalize user experiences in e-commerce, streaming, and digital platforms, driving engagement and conversions.

##### 🌟 Our Partnerships

- Amazon Web Services

- Astronomer

- Databricks

##### 🌟 Our Values

- 📊 We are Data Nerds

- 🤗 We are Open Team Players

- 🚀 We Take Ownership

- 🌟 We Have a Positive Mindset

 
🔍 Curious about what we’re up to? Check out [our](https://blog.muttdata.ai/tag/Case%20Studies/1) case studies and dive into our[blog post](https://blog.muttdata.ai/) to learn more about our culture and the exciting projects we’re working on! 🚀

##### Responsibilities 🤓

- Design transactional and credit behavior features (frequency, recency, amount, digital engagement, delinquency) for the risk model.

- Implement features with complete standard metadata (description, PKs/FKs, lineage, owner, tags, data lifecycle, temporality) and D1/D2 design to maximize reuse.

- Follow the deployment pipeline (bundle validation → DDLs → PRD), job monitoring, and FinOps practices.

- Ensure consistency between training and production as the model's single source of truth.

##### Required Skills

- Experience in feature engineering / data engineering on Databricks + Unity Catalog.

- Advanced SQL and Python; data governance, lineage, and quality (DQX).

- Familiarity with naming conventions and metadata standards.

##### Nice to Have Skills 😉

- Feature Store certification (Fundamentals / Expert) and experience with financial data.

- Experience developing AI agents / agentic infrastructure (e.g. Mosaic AI Agent Framework, agent orchestration, MCP).

##### 🎁 Perks

- 🌍 Remote-first culture – work from anywhere!

- 🚀 In-Company English Lessons.

- 💪 Wellhub or sports club stipend to stay active

- 🚀 AWS, DBT, Google Cloud, Azure & Databricks certifications fully covered

- 🍕 Food credits via Pedidos Ya – because great work deserves great food.

- 🎂 Birthday off + an extra vacation week (Mutt Week! 🏖️)

- 🤝 Referral bonuses – help us grow the team & get rewarded!

- ✈️🏝️[Annual Mutters' Trip](https://www.youtube.com/watch?v=dq1x2krHGb8&t=2s) – an unforgettable getaway with the team!

- 👶 Monthly Childcare Reimbursement – Because supporting families matters too

---

Source: Muttdata's own career page, read by RemJobs. Canonical HTML version: https://www.remjobs.works/job/muttdata-data-analytics-engineer-feature-engineering-databricks-3-518ebcde-14e1-4cc1-abf5-be2449a316d8