Data Engineer (Tableau)

Location: Argentina — Remote

Company

hirify.global delivers technology solutions and supports data, visualization, and AI-assisted workflows through cross-functional collaboration.

What you will do

• Design, develop, and maintain scalable ETL/ELT pipelines for large and diverse data sources.
• Build and optimize data lakes, data warehouses, and unified data views.
• Develop and maintain Tableau dashboards, reports, data sources, extracts, and live connections.
• Support AI/ML data workflows, including model training, inference, evaluation, feature engineering, tokenization pipelines, and vector store integration.
• Gather requirements with product managers and stakeholders and translate reporting and data needs into technical solutions.
• Write tests, debug defects, improve data quality, and participate in Agile ceremonies and continuous improvement.

Requirements

• 3+ years of experience as a Data Engineer.
• Bachelor’s degree in Computer Science, Engineering, or a related field.
• Strong Python and SQL skills, including MySQL and PostgreSQL, plus experience with MongoDB.
• Hands-on Tableau experience covering dashboard development, data source management, and performance optimization.
• Experience with data warehousing or lakehouse principles and tools such as Databricks, Spark, PySpark, and pandas.
• Experience with ML/AI data pipelines, cloud data stacks, Linux, shell scripting, Git, testing, and collaborative development.

Nice to have

• Experience with feature stores, vector databases, or model-serving infrastructure.
• Working knowledge of the ELK stack, Redis, and distributed task queues.
• Experience with Flask, scikit-learn, requests, pytest, and Python logging utilities.

Culture & Benefits

• Values include empowerment, leadership, innovation, teamwork, and excellence.
• Cross-functional collaboration with technical and non-technical stakeholders.
• Equal employment opportunities are provided to applicants and employees from all backgrounds.