Particle41 busca un Data Engineer con 3+ años de experiencia para unirse a su equipo remoto en Argentina. El rol implica diseñar, construir y mantener pipelines de datos, soportar visualizaciones de datos para clientes y contribuir a flujos de trabajo de IA, utilizando principalmente Python y Tableau.
Si te copa laburar con datos, armar pipelines y visualizaciones en Tableau, este puesto remoto en Particle41 es para vos. Podés crecer en un rol clave que conecta datos crudos con decisiones de negocio y hasta flujos de IA.
Descripción del puesto
<p><strong>Data Engineer</strong></p> <p>Particle41 is seeking a talented Data Engineer to join our team. You will design, build, and maintain data pipelines and infrastructure, support client-facing data visualization, and contribute to AI-assisted data workflows. You will work across the full data lifecycle — from raw ingestion to polished, decision-ready output — in collaboration with cross-functional teams.</p> <p><strong>In This Role You Will</strong></p> <p><strong>Software Development</strong></p> <ul> <li> Design, develop, and maintain scalable ETL/ELT pipelines to process large volumes of data from diverse sources.</li> <li> Build and optimize data storage solutions — data lakes and data warehouses — for efficient retrieval and processing.</li> <li> Integrate structured and unstructured data from internal and external systems into a unified view for analysis.</li> <li> Ensure data accuracy, consistency, and completeness through validation, cleansing, and transformation.</li> <li> Maintain clear documentation for data processes, tools, and systems.</li> </ul> <p><strong>Data Visualization</strong></p> <ul> <li> Build and maintain <strong>Tableau</strong> dashboards and reports that translate complex datasets into clear, decision-ready visuals.</li> <li> Design data models and extracts optimized for Tableau performance, including live connections and published data sources.</li> <li> Apply data visualization best practices — chart selection, layout, color, and interactivity — to produce client-ready output.</li> <li> Partner with stakeholders to understand reporting needs and translate them into visual solutions.</li> <li> Support ad hoc analysis using Tableau, Python-based charting (matplotlib, seaborn, plotly), or similar tools.</li> </ul> <p><strong>AI and Data Support</strong></p> <ul> <li> Support AI/ML workflows by building and maintaining the data pipelines that feed model training, inference, and evaluation.</li> <li> Assist with data preparation for LLM and machine learning projects, including feature engineering, tokenization pipelines, and vector store integration.</li> <li> Help teams adopt AI-assisted data tooling — copilots, intelligent search, automated reporting — by ensuring clean, well-structured data is available upstream.</li> <li> Contribute to prompt engineering and evaluation frameworks where data context is a key input.</li> </ul> <p><strong>Requirements Gathering and Analysis</strong></p> <ul> <li> Work with product managers and stakeholders to gather requirements and translate them into technical solutions.</li> <li> Provide technical input during requirements sessions to align data capabilities with business needs.</li> </ul> <p><strong>Agile Development</strong></p> <ul> <li> Participate in sprint planning, stand-ups, and sprint reviews.</li> <li> Deliver solutions on time and within scope. Adapt when priorities shift.</li> </ul> <p><strong>Testing and Debugging</strong></p> <ul> <li> Write unit and integration tests to validate pipeline reliability and data accuracy.</li> <li> Identify and resolve defects, performance bottlenecks, and data quality issues.</li> </ul> <p><strong>Continuous Learning</strong></p> <ul> <li> Stay current with cloud platforms (AWS, Azure, GCP) and emerging data engineering tools.</li> <li>Propose solutions to improve performance, security, and scalability.</li> </ul> <p><br><strong>Skills and Experience We Value</strong></p> <ul> <li> Bachelor’s degree in Computer Science, Engineering, or a related field.</li> <li> 3+ years of experience as a Data Engineer.</li> <li> Strong Python proficiency.</li> <li> Experience with SQL (MySQL, PostgreSQL) and NoSQL (MongoDB) databases.</li> <li> Hands-on experience with <strong>Tableau</strong> — dashboard development, data source management, and performance optimization.</li> <li> Familiarity with data warehousing and lakehouse principles; experience with Databricks, Spark, PySpark, and pandas.</li> <li> Experience building or supporting ML/AI data pipelines, including feature stores, vector databases, or model serving infrastructure.</li> <li> Familiarity with at least one cloud data stack (Azure, AWS, or GCP).</li> <li> Working knowledge of the ELK stack, Redis, and distributed task queues.</li> <li> Proficiency with Python libraries including Flask, scikit-learn, requests, pytest, and logging utilities.</li> <li> Comfortable working in Linux and writing shell scripts.</li> <li> Familiarity with Git and collaborative development workflows.</li> <li> Strong communication skills and the ability to work across technical and non-technical teams.</li> </ul> <h2><strong>About Particle41</strong></h2> <p>Our core values of Empowering, Leadership, Innovation, Teamwork, and Excellence drive everything we do — ELITE.</p> <p> <strong>E — Empowering: </strong>Enabling individuals to reach their full potential</p> <p> <strong>L — Leadership: </strong>Taking initiative and guiding each other toward success</p> <p> <strong>I — Innovation: </strong>Embracing creativity and new ideas to stay ahead</p> <p> <strong>T — Teamwork: </strong>Collaborating with empathy to achieve common goals</p> <p> <strong>E — Excellence: </strong>Striving for the highest quality in everything we do</p> <p>Particle41 welcomes individuals from all backgrounds committed to our mission and values. We provide equal employment opportunities to all employees and applicants. Hiring and employment decisions are based on merit and qualifications — without 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.</p> <p>For assistance during the application or interview process, contact us at <strong>[email protected]</strong></p> <p><br><br></p>
Responsabilidades
- Diseñar, desarrollar y mantener pipelines ETL/ELT escalables.
- Construir y optimizar soluciones de almacenamiento de datos (data lakes, data warehouses).
- Integrar datos de sistemas internos y externos.
- Asegurar la precisión, consistencia y completitud de los datos.
- Mantener documentación clara de procesos y sistemas de datos.
- Construir y mantener dashboards y reportes en Tableau.
- Diseñar modelos de datos y extractos optimizados para Tableau.
- Aplicar mejores prácticas de visualización de datos.
- Colaborar con stakeholders para entender necesidades de reporting.
- Soportar análisis ad hoc usando Tableau, Python, etc.
- Construir y mantener pipelines de datos para flujos de trabajo de IA/ML.
- Asistir en la preparación de datos para proyectos de LLM y machine learning.
- Ayudar a los equipos a adoptar herramientas de datos asistidas por IA.
- Contribuir a la ingeniería de prompts y frameworks de evaluación.
- Trabajar con product managers y stakeholders para recopilar requisitos.
- Proporcionar input técnico durante sesiones de requisitos.
- Participar en planificación de sprints, stand-ups y revisiones.
- Entregar soluciones a tiempo y dentro del alcance.
- Escribir pruebas unitarias y de integración.
- Identificar y resolver defectos, cuellos de botella y problemas de calidad de datos.
- Mantenerse actualizado con plataformas cloud y herramientas de data engineering emergentes.
- Proponer soluciones para mejorar rendimiento, seguridad y escalabilidad.