Data Engineer

Job not on LinkedIn

🕒 April 1

🇦🇷 Argentina – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 62%

What it means: how likely this posting is sitting open without active hiring.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

• Collaborate with the team to define goals and deliver custom data solutions. • Innovate with new tools to improve Mutt Data's infrastructure and processes. • Design and implement ETL processes, optimize queries, and automate pipelines. • Own projects end-to-end—build, maintain, and improve data systems while working with clients. • Develop tools for the team and assist in tech migrations and model design. • Build scalable, high-performance data architectures. • Review, document, test, and integrate code with CI/CD, focusing on code quality.

🎯 Requirements

• Experience in Data Engineering, including building and optimizing data pipelines. • Strong knowledge of SQL and Python (Pandas, Numpy, Jupyter). • Experience working with any cloud (AWS, GCP, Azure, DBS or DBT). • Basic knowledge of Docker. • Experience with orchestration tools like Airflow or Prefect. • Familiarity with ETL processes and automation.

🏖️ Benefits

• 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 • Birthday off + an extra vacation week (Mutt Week!) • Referral bonuses • Annual Mutters' Trip