Job Overview
Location
Argentina
Job Type
Full-time
Category
Data Engineer
Date Posted
April 16, 2026
Full Job Description
đź“‹ Description
- • Lead the design, development, and optimization of scalable data pipelines and infrastructure to support machine learning and data product initiatives at Mutt Data SRL.
- • Collaborate with cross-functional teams to translate business needs into robust data solutions using Big Data technologies.
- • Mentor junior engineers and establish best practices for data quality, performance, and reliability in a fast-paced startup environment.
- • Drive innovation in data architecture and contribute to the company’s mission of building cutting-edge systems for clients.
🎯 Requirements
- • Proven experience as a Data Engineer with expertise in building and maintaining ETL/ELT pipelines.
- • Strong proficiency in Big Data technologies such as Apache Spark, Hadoop, or similar distributed computing frameworks.
- • Hands-on experience with cloud platforms (AWS, GCP, or Azure) and data storage solutions (e.g., S3, Redshift, BigQuery).
- • Solid understanding of SQL and NoSQL databases, data modeling, and warehouse design.
- • Ability to write clean, efficient code in Python or Scala for data processing tasks.
- • Experience working in agile environments and collaborating with data scientists or ML engineers.
🏖️ Benefits
- • Fully remote work opportunity from Argentina with flexible scheduling.
- • Opportunity to work with cutting-edge Big Data and Machine Learning technologies in a innovative startup.
- • Professional growth and leadership development as a key technical contributor.
- • Collaborative and passionate team culture focused on innovation and technical excellence.
Skills & Technologies
About Mutt Data SRL
Argentina-headquartered data consultancy that designs, builds and runs cloud-native data platforms and AI products for mid-market and enterprise clients across North and South America. Core services span data engineering, MLOps, analytics engineering and custom machine-learning model development, delivered by multidisciplinary teams using modern open-source stacks on AWS, GCP and Azure. Founded in 2014, the company maintains offices in Buenos Aires, CĂłrdoba, Montevideo and Raleigh, and is a certified partner of Databricks, Snowflake, Google Cloud and AWS.
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