Data Engineer, Tableau

This is a fully remote position, open to applicants in Argentina.

📋 Description

• Design, develop, and sustain scalable ETL/ELT pipelines for processing substantial volumes of data from various sources.

• Create and enhance data storage solutions — including data lakes and data warehouses — for effective retrieval and processing.

• Integrate structured and unstructured data from both internal and external systems into a cohesive view for analysis.

• Ensure the accuracy, consistency, and completeness of data through validation, cleansing, and transformation processes.

• Maintain comprehensive documentation regarding data processes, tools, and systems.

• Develop and manage Tableau dashboards and reports that convert complex datasets into clear, actionable visuals.

• Design data models and extracts that are optimized for Tableau performance, incorporating live connections and published data sources.

• Implement data visualization best practices — including chart selection, layout, color, and interactivity — to deliver client-ready outputs.

• Collaborate with stakeholders to comprehend reporting needs and translate them into visual solutions.

• Assist with ad hoc analysis utilizing Tableau, Python-based charting tools (such as matplotlib, seaborn, and plotly), or similar resources.

• Facilitate AI/ML workflows by constructing and maintaining data pipelines that support model training, inference, and evaluation.

• Aid in data preparation for LLM and machine learning initiatives, encompassing feature engineering, tokenization pipelines, and vector store integration.

• Support teams in adopting AI-assisted data tools — including copilots, intelligent search, and automated reporting — by ensuring that clean, well-structured data is available upstream.

• Contribute to the development of prompt engineering and evaluation frameworks where data context is a crucial input.

• Collaborate with product managers and stakeholders to gather requirements and convert them into technical solutions.

• Provide technical insights during requirements sessions to ensure alignment of data capabilities with business needs.

• Engage in sprint planning, stand-ups, and sprint reviews.

• Deliver solutions promptly and within scope, adapting as priorities change.

• Develop unit and integration tests to validate the reliability of pipelines and the accuracy of data.

• Identify and address defects, performance bottlenecks, and data quality issues.

• Stay updated on cloud platforms (AWS, Azure, GCP) and the latest data engineering tools.

• Suggest solutions to enhance performance, security, and scalability.

⛳️ Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related discipline.

• Over 3 years of experience as a Data Engineer.

• Strong proficiency in Python.

• Experience with SQL (MySQL, PostgreSQL) and NoSQL (MongoDB) databases.

• Practical experience with Tableau, including dashboard development, data source management, and performance optimization.

• Understanding of data warehousing and lakehouse principles; experience with Databricks, Spark, PySpark, and pandas.

• Experience in building or supporting ML/AI data pipelines, including feature stores, vector databases, or model serving infrastructure.

• Familiarity with at least one cloud data stack (Azure, AWS, or GCP).

• Working knowledge of the ELK stack, Redis, and distributed task queues.

• Proficiency in Python libraries such as Flask, scikit-learn, requests, pytest, and logging utilities.

• Comfortable working in a Linux environment and writing shell scripts.

• Familiarity with Git and collaborative development practices.

• Strong communication skills and the capability to work effectively across both technical and non-technical teams.

🏝️ Benefits

• Particle41 welcomes individuals from all backgrounds who are dedicated to our mission and values. We offer equal employment opportunities to all employees and applicants. Hiring and employment decisions are based on merit and qualifications — free from discrimination based on race, color, religion, caste, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, local, or international laws.

• For assistance during the application or interview process, please contact us at careers@Particle41.com