Data Engineer (Tableau)

Role overview Build data pipelines and infrastructure that turn diverse source data into dependable, decision-ready analysis. The role combines data engineering with client-facing visualization in Tableau, and also supports AI and machine learning workflows through data preparation and pipeline work. This is a remote position based in Argentina.

Responsibilities - Develop scalable ETL/ELT pipelines and optimize lake or warehouse storage for processing and retrieval. - Combine structured and unstructured data, applying validation, cleansing, and transformation to improve quality. - Build Tableau dashboards, reports, data models, and extracts that communicate findings clearly and perform well. - Work with stakeholders to translate reporting needs into visual solutions; support ad hoc analysis with Tableau or Python charting tools. - Maintain pipelines that supply data for model training, inference, and evaluation. - Prepare data for AI projects, including feature engineering, tokenization, and vector store integration; contribute to prompt and evaluation workflows.

Requirements - Ability to build and maintain data pipelines across diverse sources. - Experience preparing and modeling data for analytics or visualization. - Skill in creating clear, effective dashboards and reports in Tableau. - Ability to collaborate with stakeholders and translate requirements into technical solutions. - English proficiency, which is required for the position. - Familiarity with Agile development and working across a data lifecycle.

Nice to have - Experience with Python visualization libraries such as matplotlib, seaborn, or plotly. - Exposure to AI/ML data preparation, LLM workflows, or vector stores.