Data Engineer – Semi Senior, Feature Engineering, Databricks

Job not on LinkedIn

🔥 9 minutes ago

🇦🇷 Argentina – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 22%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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MUTT DATA

WebsiteLinkedInAll Job Openings

51 - 200 employees

📣 Marketing

🛡️ Insurance

📦 Logistics

Marketing • Insurance • Logistics

MUTT DATA is a consulting firm that specializes in leveraging AI and machine learning to create automated systems that drive revenue for their clients. They offer solutions in sectors such as Adtech, Martech, Fintech, and Telecommunication, focusing on optimizing advertising platforms, enhancing data-driven marketing strategies, and providing real-time insights in financial and telecommunications networks. MUTT DATA provides expert team augmentation, seamless integration of data architectures in the cloud, and tailor-made solutions to refine product strategies. Their services include implementing modern data stacks, marketing mix modeling, and generative AI. MUTT DATA partners with leading companies like Amazon Web Services, Google Cloud, and others to deliver advanced data and AI solutions. They are recognized in LATAM for their AWS competencies and expertise in data science and MLOps, ensuring robust, scalable, and cost-effective data systems for their clients.

📋 Description

• Design transactional and credit behavior features, including frequency, recency, amount, digital engagement, and delinquency, for the risk model • Implement features with complete standard metadata, including description, PKs/FKs, lineage, owner, tags, data lifecycle, temporality, and D1/D2 design to maximize reuse • Follow the deployment pipeline from bundle validation through DDLs and PRD • Monitor jobs and follow FinOps practices • Ensure consistency between training and production as the model's single source of truth • Work closely with modeling and platform teams to turn transactional and credit behavior data into trustworthy, well-governed features

🎯 Requirements

• Experience in feature engineering / data engineering on Databricks + Unity Catalog • Advanced SQL and Python • Experience with data governance, lineage, and quality (DQX) • Familiarity with naming conventions and metadata standards • Feature Store certification (Fundamentals / Expert) and experience with financial data (nice to have) • Experience developing AI agents / agentic infrastructure, such as Mosaic AI Agent Framework, agent orchestration, or MCP (nice to have)

🏖️ Benefits

• 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 • Maslow: Monthly credits to spend in our benefits marketplace • Annual Mutters' Trip • Monthly Childcare Reimbursement

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