Senior Data Engineer
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.
Remote Data Engineer Jobs in Argentina
129 Data Engineer jobs in Argentina available for remote work from home. Apply for positions such as Senior Data Engineer, Data Engineer (Remote), Senior Structural Engineer - Data Center and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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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 Data Engineer will design and optimize enterprise data models using dimensional modeling to support business processes. They will collaborate with the engineering team and stakeholders to build high-performance, low-cost database architectures.
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 designing, developing, and maintaining robust and scalable data pipelines, integrating heterogeneous data sources, and ensuring data quality. Responsibilities also include collaborating with analytics and product teams and optimizing data ingestion, transformation, and storage processes.
The role involves designing, developing, and maintaining robust and scalable data pipelines for high-profile clients. Responsibilities include integrating heterogeneous data sources, ensuring data quality, and optimizing ingestion, transformation, and storage processes.
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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.
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.
The engineer will test, standardize, and maintain server and network hardware for a global trading infrastructure. They are responsible for coordinating hardware maintenance, managing inventory, and providing technical support through on-call rotations.
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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.
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.
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 accuracy, perform reconciliation, and monitor pipeline health post-deployment.
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.
The role involves working on an intelligent matching project between doctors and pharmaceutical products, requiring technical evolution towards Generative AI and LLMs. Responsibilities include developing and maintaining data pipelines and applying classical Machine Learning techniques.
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.
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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.
Design and build secure infrastructure for AI-assisted development, testing, and data-access security across the platform. Manage end-to-end projects from design documentation to production deployment using a security-first mindset.
The BESS Performance Engineer will lead performance monitoring, analysis, and reporting for standalone and solar-plus-storage battery assets. They will develop data-driven insights, automate reporting workflows, and optimize technical performance and commercial efficiency across a distributed generation portfolio.
You will design, build, and deploy AI-driven detection features to identify financial fraud patterns and protect older adults. This involves managing data pipelines, optimizing system performance, and collaborating with cross-functional teams to solve complex user problems.
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