Description review
#4 Data Engineer Semi Senior - Feature Engineering - Databricks
Mutt Data · Remote · back to the listing
HR standards
66/100
needs work
Title ↔ description
79/100
solid
Reads as
Data Engineer
100% confident
How others title the same work
Large employers
- Senior Software Engineer - Data Platform Coinbase
- Senior Security Data Engineer Doordash
- Data Engineer, Product Analytics Meta
- Senior Staff Data Engineer Mozilla
- Staff, Analytics Engineer, GTM Data Science & Analytics Twilio
Startups
- Senior Data Engineer Camber
- Cardog | Toronto, Canada or REMOTE | Full-time Cardog
- Connie Health | Senior Analytics Engineer | Boston, MA | HYBRID | $150k-$185k + equity Connie Health
- DoubleVerify (DV Scibids) | Sr. Data Engineer I | ONSITE/HYBRID - New York, NY (3x/week) | Full-time | $89K–$178K DoubleVerify (DV Scibids)
- Forecasting Research Institute (FRI) | Data Engineer | REMOTE | Full-time Forecasting Research Institute (FRI)
What the listing never says
- 30 bullet points. Long requirement lists deter qualified candidates, who read them as hard gates. Scope clarity
- No pay range published. Candidates cannot tell whether applying is worth their time. Pay transparency
The listing, marked up
Nothing in the wording of this listing tripped a check. The scores above still judge how complete and coherent it is.
🚀 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.
🚀 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 case studies and dive into our blog post 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! 🌍
• 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
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.
🚀 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 case studies and dive into our blog post 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! 🌍
• 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