We are seeking a Senior Data Engineer to lead the design, development, and maintenance of data and ML pipelines on the Domino Data Lab platform. This role focuses on the data engineering and MLOps side of Domino, building reliable data pipelines, managing model lifecycle workflows, and ensuring the platform's data and compute infrastructure runs efficiently and securely. This is not a front-end or application development role.

Responsibilities

Design, build, and maintain robust data pipelines that support analytical and machine learning workloads
Manage the end-to-end lifecycle of data workflows, from ingestion through transformation and delivery
Oversee compute infrastructure to ensure efficient, secure, and reliable platform operations
Troubleshoot and resolve issues affecting pipeline performance and data quality
Collaborate with data scientists and other engineers to support their infrastructure and tooling needs
Establish and promote best practices for platform usage, pipeline architecture, and data workflow design




Automate testing and deployment processes to improve reliability and reduce manual effort
Monitor pipeline health and proactively address bottlenecks or failures
Contribute to the ongoing improvement of internal tools and processes supporting data operations
Document technical designs, workflows, and configurations to support knowledge sharing across the team

Requirements

A minimum of 3 years of relevant experience
Extensive hands-on experience with the Domino Data Lab platform, including Data Sources and Connectors, Datasets, Environments, Projects, Jobs, and Flows, with the ability to architect and troubleshoot end-to-end data pipelines and guide best practices for platform usage
Expert-level proficiency in Python as the primary language for data engineering and pipeline development
Strong command of SQL for data extraction, transformation, and optimization across relational and warehouse systems
Comfortable working with R and Bash across the b

📌 Senior Data Engineer (Argentina)
🏢 EPAM Systems
📍 Argentina