UNPAID VOLUNTEER - Technology Officer - Internet of Things (IoT) & Data Engineer

Senior Data Engineer

Design, develop, and maintain scalable data pipelines to support ingestion, transformation, and delivery for model-training and real-time inference. Oversee vector data stores and implement AI-backed analytics solutions to enable advanced search and retrieval patterns.

Senior Data Engineer (GCP & Data Integration)

Build, maintain, and enhance production ETL pipelines connecting REST APIs with GCP-based data warehouse environments. Support pipeline monitoring and reliability through alerting, logging, error handling, and data quality checks.

Data Engineer (Marketing-oriented) | Remote for Marketing Agency for Education 12 applicants

The Senior Data Engineer will own the end-to-end data pipeline architecture, connecting paid media platforms and CRMs into a centralized BigQuery warehouse. They are responsible for building modular transformation pipelines, ensuring data quality, and enabling performant reporting for marketing teams.

Senior Data Engineer

The Senior Data Engineer will design, build, and maintain scalable ELT pipelines using Snowflake, dbt, and Apache Airflow. They will also mentor team members, optimize platform performance, and support downstream reporting through modern BI tools.

Data Engineer [Zeal]

Design, build, and maintain performant and resilient data pipelines to meet business requirements. Collaborate with stakeholders to ensure data quality, integrity, and availability across upstream and downstream systems.

AWS Data Engineer (Perú, Argentina, Chile)

The AWS Data Engineer will design and implement data ingestion and transformation processes using batch and streaming architectures. They are also responsible for managing data storage, ensuring data quality, and maintaining security and governance across the data lifecycle.

Senior Data Engineer - Azure Databricks

The role involves owning the end-to-end delivery of data pipelines and products from design through deployment and production support. You will also be responsible for executing large-scale data migrations and managing infrastructure-as-code solutions.

Data Engineer junior (con Experiencia) (Chile- Perú)

Design, develop, and maintain data pipelines while optimizing ETL processes and integration flows. Collaborate with multidisciplinary teams to ensure data quality, integrity, and availability within scalable environments.

AI Engineer / IA Data Engineer 20 applicants

Design, develop, and implement scalable Generative AI solutions using Python and LLMs. Manage cloud infrastructure as code and integrate AI components into productive environments.

Data Engineer (Snowflake & GCP)

You will lead the development and optimization of efficient data pipelines between Snowflake and Google Cloud Platform. Responsibilities include implementing native orchestration, config-driven processing, and ensuring robust data governance and observability.

Senior Data Engineer + AI

Design and maintain AI-powered applications and scalable cloud-native data platforms using Python, TypeScript, and AWS. Build and optimize end-to-end data pipelines while developing production-ready LLM-powered solutions and agentic AI systems.

Data Engineer (Senior) - ETL (Python+Snowflake) - Remote, Latin América

Design, develop, and maintain scalable ETL/ELT pipelines using Python, Snowflake, and Azure technologies. Optimize Snowflake workloads and implement dimensional modeling to build enterprise data warehouses.

Data Engineer (Databricks)

Design and build production data pipelines and Lakehouse solutions using the Databricks platform to support AI and digital products. Collaborate with clients and cross-functional teams to develop data strategies and maintain scalable data foundations.

Data Engineer AWS

Design, develop, and support cloud-based data solutions with a focus on automating ETL processes using AWS Glue and Kiro. The role involves optimizing data pipelines and evolving the data platform toward decentralized architectures.

Senior Data Engineer 11 applicants

The Senior Data Engineer will develop and maintain large-scale data processing systems using AI-assisted tools to automate pipelines and improve data quality. They will collaborate with data scientists and stakeholders to build infrastructure that supports analytics, machine learning, and business decision-making.

Data Integration Engineer

You will be responsible for building and maintaining ETL pipelines between Zuora REST APIs and a GCP data warehouse. You will also manage transformation logic for billing and subscription data while implementing monitoring and error handling.

Senior Data & LLM Engineer (AI‑Ready Data & Agentic Systems) 59 applicants

The role involves building production-grade agentic workflows and LLM-powered systems while managing data pipelines and semantic context layers. You will also be responsible for establishing evaluation practices, observability, and providing technical leadership to clients.

Data Infrastructure Engineer Intern

The intern will assist in maintaining and improving data warehousing systems while supporting the team in monitoring data pipelines and troubleshooting issues. They will also write optimized SQL queries and automate manual processes to improve operational efficiency.

LT Data Integration Engineer + Inglés

Design, develop, and manage enterprise data integration pipelines using Informatica IDMC to feed Databricks Lakehouse. Optimize ETL/ELT processes and ensure scalability, performance, and compliance with established SLAs.

Data & Machine Learning Engineer

Design and maintain scalable data pipelines and architectures to power data warehouses, LLM-driven applications, and AI-based BI. Develop RAG workflows, manage prompt engineering, and implement natural language query experiences for analytics.