Lead Data Engineer

Lead and mentor a team of data engineers while setting technical direction and driving engineering excellence. Own the end-to-end architecture, design, and implementation of scalable data platforms and migration strategies.

Senior Data Engineer (Earnix)

Design, develop, and optimize production-grade data pipelines and governed data products using Azure Databricks and related technologies. Collaborate with cross-functional teams including actuarial, data science, and architecture to provide technical leadership and ensure high-quality data delivery.

Senior Data Engineer

You will build and operate scalable ingestion, ELT/ETL, and orchestration pipelines to transform raw data into clean, AI-ready datasets. Additionally, you will implement real-time data ingestion flows and ensure high data quality through rigorous testing and observability.

Lead Data Engineer

Lead and mentor data engineering teams while setting technical direction and driving engineering excellence. Own the end-to-end architecture, design, and implementation of scalable data platforms and migration strategies.

Junior Data Engineer

Develop and maintain dbt models to transform raw data into structured datasets while collaborating with stakeholders to meet business requirements. Monitor and troubleshoot data pipeline issues to ensure data integrity and optimize models for performance and scalability.

Lead Data Engineer

Lead and mentor Data Engineers while owning the architecture, design, and delivery of scalable data platforms and pipelines. Drive migration from Snowflake and SSIS to Azure Databricks and dbt, implement Terraform and CI/CD practices, and establish engineering standards and platform stability.

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.

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 11 applicants

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 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 21 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.

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) 60 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.

Senior Data & Knowledge Engineer

Design and implement RAG and enterprise search architectures using Databricks, Azure AI Search, and vector search technologies. Develop and maintain knowledge graph models and document extraction pipelines to ensure high-quality data retrieval and metadata management.

Senior Data & AI Engineer

Design, develop, and maintain AI-powered applications and backend services using Python, TypeScript, and AWS. Build scalable end-to-end data ingestion and transformation pipelines while implementing robust data architecture and governance frameworks.