Software Engineer (Data Platform) 11 applicants
Architect and maintain scalable data platform infrastructure and optimize analytic query engines. Collaborate with data teams to implement robust data management solutions and observability frameworks.
Remote Data Engineer Jobs in Chile
94 Data Engineer jobs in Chile available for remote work from home. Apply for positions such as Software Engineer (Data Platform), Senior Data Engineer, Senior Structural Engineer - Data Center and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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Architect and maintain scalable data platform infrastructure and optimize analytic query engines. Collaborate with data teams to implement robust data management solutions and observability frameworks.
Design and optimize complex SQL Server solutions with a focus on performance tuning and data modeling. Automate processes using PowerShell and integrate systems via APIs and LLM-driven workflows.
The Senior Structural Engineer will independently manage engineering and project management tasks for small to medium-sized projects from start to finish, including processing design calculations and developing project scopes and schedules. Responsibilities also involve producing structural construction drawings and specifications, and coordinating efforts with other internal teams and clients.
The role involves leading the development and maintenance of data services and solutions to support products, downstream services, or infrastructure tools used across BEES. This includes designing efficient data models and implementing architectural improvements to enhance performance, monitoring, and evolution of data products.
You will work on the PostgREST PostgreSQL driver to improve performance and resolve bottlenecks while developing new features for a multitenant Data API. Additionally, you will collaborate cross-functionally to debug integration issues and resolve escalated support incidents.
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Design, deploy, and operate scalable data platforms using cloud-native technologies and automation. Collaborate with cross-functional teams to ensure system resilience, performance, and cost efficiency through SRE and DevOps practices.
You will build and optimize large-scale data pipelines to support AI model training and next-generation product development. You will collaborate with AI scientists to discover new data sources and ensure the scalability and quality of training datasets.
You will build and optimize large-scale data pipelines to support AI model training and next-generation product development. This involves discovering new audio data sources and collaborating with AI scientists to improve data quality and system scalability.
You will build and optimize large-scale data pipelines to support AI model training and next-generation product development. You will also collaborate with AI scientists to discover new data sources and ensure high-quality, scalable data processing.
Design, develop, test, document, and support secure external integrations, including APIs, file-based interfaces, ETL processes, and Snowflake data products. Lead technical delivery and provide production support, stakeholder coordination, code reviews, and mentorship for integration initiatives.
You will build and maintain a core ingestion engine capable of overcoming complex platform defenses to deliver large-scale data. This involves designing distributed pipelines, managing storage environments, and implementing automated monitoring for evasion recovery.
The Data Migration Engineer oversees and executes the migration of clinical and administrative data between Radiology Information Systems while ensuring data integrity and regulatory compliance. They collaborate with cross-functional teams to map legacy data, perform ETL processes, and provide post-migration support for system go-lives.
Design, deploy, and maintain secure, highly available Kafka clusters within an AWS environment. Collaborate with development teams to implement best practices for microservices and streaming data pipelines.
Design and implement scalable data architectures on Azure while leading technical definitions and best practices. Collaborate with business teams to transform requirements into high-impact data solutions and mentor team members.
The role involves administering and optimizing enterprise Big Data platforms and their underlying infrastructure using automation and AI-assisted tools. You will be responsible for managing Linux systems, databases, and containerized environments while ensuring high availability and performance.
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.
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.
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The role acts as a technical owner for customer-facing data workflows, integrations, and AI-driven automation. Responsibilities include designing technical solutions for customers, building internal tooling, and translating customer patterns into product requirements.
Set the technical direction for ingesting, transforming, and delivering healthcare data at scale on a FHIR-based platform. Lead the implementation of AI-native engineering practices and mentor senior and mid-level engineers.
Design and implement a comprehensive data quality framework across Bronze, Silver, and Gold layers within Databricks pipelines. Collaborate with Data Engineering and business teams to validate data pipelines, perform reconciliation, and ensure production-ready data assets.
You will perform as a subject matter expert in Microsoft Purview and Collibra to develop data-driven solutions and intellectual property. Additionally, you will convert complex data into clear dashboards and monitor key performance indicators to support organizational decision-making.
This role focuses on building and validating PSCAD models to demonstrate reliable grid performance and meet utility requirements for large-scale data center projects and utility interconnections. The engineer will evaluate system behavior during various disturbances in collaboration with internal teams, utilities, and manufacturers, supporting model reviews through commissioning.
Own and improve the analytics infrastructure, including data models, warehouses, pipelines, integrations, billing data, and event tracking across web and native applications. Lead cross-functional analytics initiatives, deliver reliable dashboards and business insights, and guide stakeholders with recommendations on SaaS performance and growth.
You will design, build, and maintain production systems, including evaluation harnesses and data pipelines for AI models. You will also develop APIs and backend services to support human-in-the-loop workflows and improve system observability.
Design and implement data models and ETL/ELT pipelines to integrate complex commercial pharmaceutical datasets. Develop curated datasets, semantic layers, and standardized KPI logic to support field, brand, and patient analytics.
The role involves implementing access controls, data governance policies, and security frameworks across the platform. You will also deliver data lineage, audit, and monitoring solutions while collaborating with business teams to ensure compliance.
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The role involves analyzing large datasets to generate actionable business insights and developing analytical solutions. You will manage end-to-end analytical projects while collaborating with cross-functional stakeholders to translate business needs into data-driven recommendations.
The role involves owning end-to-end coding data projects to teach frontier AI models how to code. This includes designing agentic training workflows, evaluation rubrics, and technical environments that mirror real-world software engineering.
Own end-to-end coding data projects to train frontier AI models, designing agentic workflows and evaluation schemes. Collaborate with clients and internal teams to build technical environments and rubrics that reflect real-world software engineering.
The role involves designing, building, and maintaining scalable BigQuery datamarts and analytical tables to support BI reporting. You will also develop data pipelines and transformation workflows while ensuring data quality and governance across the environment.
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