Data Engineer
Design, build, and maintain data pipelines using Airflow and Trino to process data from multiple systems. Ensure observability and performance optimization while collaborating with cross-functional teams to deliver data requirements.
57 Data Engineer jobs in Argentina available for remote work from home. Apply for positions such as Data Engineer, Data Engineer, Data Engineer and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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Design, build, and maintain data pipelines using Airflow and Trino to process data from multiple systems. Ensure observability and performance optimization while collaborating with cross-functional teams to deliver data requirements.
The role involves designing, building, and maintaining data infrastructure to process and analyze large volumes of information. You will collaborate with data scientists and software engineers to ensure data quality, system scalability, and efficient pipeline performance.
Maintain, troubleshoot, and optimize a data ingestion pipeline using Java and Python. Collaborate with data scientists and engineers to improve observability and ensure high-quality data flow.
Build and maintain scalable, reliable data pipelines and govern performant cloud-deployed relational and non-relational databases. Collaborate on secure architecture definitions to drive data systems toward near real-time performance.
Lead end-to-end data migration initiatives and define data architecture decisions across cloud platforms. Act as the primary liaison between engineering, product, and business stakeholders to ensure project alignment and successful delivery.
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You will build and maintain scalable ETL/ELT pipelines for batch and real-time processing while evolving the AWS-based data lakehouse. Additionally, you will implement data governance, security controls, and monitoring to ensure platform reliability and data quality.
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.
The Senior Clinical Data Engineer leads the development and optimization of clinical data systems, including data standardization, validation frameworks, and high-performance database architecture. They act as a strategic liaison across departments to translate clinical requirements into scalable technical solutions while ensuring regulatory compliance.
The Senior Clinical Data Engineer will lead the development and optimization of clinical data systems, driving data standardization and building scalable validation frameworks. This role acts as a strategic liaison across departments to translate clinical requirements into high-performance technical solutions and robust ETL pipelines.
Design, build, and maintain high-throughput data pipelines and scalable cloud data warehouse architectures for financial transactions. Collaborate with cross-functional teams to implement data quality frameworks, governance standards, and automated CI/CD workflows.
Design and build scalable backend systems using Java while leading the architecture of distributed, high-performance data processing environments. Manage containerized workloads via Kubernetes and collaborate with cross-functional teams to define service contracts and system observability.
Design and build scalable backend systems using Java while leading the architecture of distributed systems for large-scale data processing. Manage containerized workloads using Kubernetes and implement observability solutions to ensure system health and performance.
The Staff Data Engineer will define data architecture and platform strategy while leading the design of scalable data lakes, warehouses, and pipelines. They will also mentor junior engineers and collaborate with cross-functional teams to integrate AI-forward solutions into enterprise operations.
The role involves co-developing batch and streaming pipelines on Databricks while defining data contracts and quality rules. Additionally, the engineer will mentor domain teams on data modeling and best engineering practices.
Design and maintain high-throughput batch and streaming data pipelines to process global financial transactions. Collaborate with cross-functional teams to build scalable data warehouse and lakehouse architectures while enforcing data quality and governance standards.
You will own the data pipeline and analytical architecture for a large-volume marketing analytics platform, making key decisions on partitioning, schema design, and near-real-time processing. Additionally, you will lead a team of senior developers, enforce code quality standards, and drive the AWS data stack while managing complex, underspecified technical problems.
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You will build and maintain scalable data pipelines and integration layers to support enterprise analytics and Agentic AI ecosystems. Additionally, you will collaborate with cross-functional teams to implement data quality, observability, and security standards across production systems.
The role involves co-developing batch and streaming pipelines on Databricks while defining data contracts and quality rules. You will also mentor domain teams on data modeling and engineering best practices to improve platform templates.
Design, develop, and implement scalable Generative AI solutions using Python and LLMs. Manage cloud infrastructure as code and integrate AI components into productive environments.
Design and implement a scalable data quality framework while operationalizing GX Core for data validation. Develop observability solutions, maintain data lineage, and integrate quality checks into CI/CD pipelines to ensure data integrity.
You will design, build, and deploy complex data solutions while collaborating with internal teams and customers to support their data journey. Additionally, you will provide technical guidance, ensure data quality, and maintain data governance across multiple customer accounts.
Own the image and video dataset lifecycle, including taxonomy, curation, and quality control. Design and maintain data pipelines and build internal tools to accelerate dataset creation and labeling for the ML team.
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The Senior Data Engineer will design and maintain scalable big data pipelines and commercial products end-to-end. They will collaborate with product managers to define requirements and mentor junior engineers through code reviews and technical guidance.
Design and maintain scalable ETL/ELT pipelines and data storage solutions to process large volumes of diverse data. Develop Tableau dashboards and support AI/ML workflows by building data pipelines for model training and evaluation.
Design and implement scalable, domain-oriented data pipelines on AWS to power analytics and business-critical workflows. Collaborate with cross-functional teams to optimize batch and streaming ingestion architectures while ensuring data quality and governance.
Design and implement scalable, domain-oriented data pipelines on AWS to support analytics and business-critical workflows. Collaborate with cross-functional teams to optimize data quality, reliability, and performance across various data domains.
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