#4 Data Engineer Semi Senior - Feature Engineering - Databricks

Mutt Data; United States; Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Remote-friendly culture

English lessons

Birthday + extra vacation week

Referral bonuses

Benefits marketplace credits

Annual company trip

Childcare reimbursement

Job summary

Muttdata is seeking a Data Engineer — Feature Engineering to join our remote-first team. You will design and govern features powering credit risk models, turning transactional data into trustworthy signals with complete metadata and lineage.

This role collaborates with modeling and platform teams to build scalable data infrastructures and reusable features for diverse clients. Ideal candidates have strong SQL/Python, Databricks, Unity Catalog experience, and a data governance mindset.

Qualifications

• 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.

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.

Skills

Advanced SQL

Python

Data governance

Data lineage

Data quality

Databricks

Unity Catalog

Feature engineering

Data engineering

Metadata standards

Tools

AWS

DBT

Google Cloud

Azure

Databricks

Job description

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 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.

• 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.

• Amazon Web Services
• Astronomer
• Databricks

• 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 case studies and dive into our blog post to learn more about our culture and the exciting projects we\'re working on!

• 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.

• 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.

• 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).

• Remote-first culture – work from anywhere!
• AWS, DBT, Google Cloud, Azure & Databricks certifications fully covered
• In-Company English Lessons.
• Birthday off + an extra vacation week (Mutt Week!)
• Referral bonuses – help us grow the team & get rewarded!
• Maslow: Monthly credits to spend in our benefits marketplace.
• Annual Mutters' Trip – an unforgettable getaway with the team.
• Monthly Childcare Reimbursement – Because supporting families matters too