Remote Data Engineer Jobs in Argentina (128)

Data Engineer

The Data Engineer will design, build, and maintain automated data pipelines using Snowflake and Azure Data Factory. They will also be responsible for transforming data with dbt and ensuring high data quality and system performance.

Data Engineer

Design, build, and maintain scalable batch and streaming data pipelines, transforming data from diverse sources into governed, analytics-ready datasets and reusable data services. Collaborate with clients, analysts, data scientists, and architects to ensure data quality, security, governance, performance, and clear technical documentation.

Data Engineer

Design, build, and maintain scalable data pipelines and ETL/ELT workflows to integrate data from various operational sources. Collaborate with cross-functional teams to develop data models and infrastructure that support business reporting, AI-powered recommendations, and customer intelligence.

DATA ENGINEER

The Data Engineer will design, build, and maintain scalable data pipelines and ETL/ELT processes to integrate multiple data sources. They will also ensure data quality and collaborate with cross-functional teams to support analytics and data-driven decision-making.

Data Engineer

Design, develop, and optimize scalable data pipelines using Azure Data Factory and other cloud-native services. Implement secure data migration strategies, including encryption and masking, while ensuring reliable performance across Azure environments.

Data Engineer

Data Engineer

You will design and deliver scalable data products, including APIs and dashboards, while collaborating with cross-functional teams to translate business needs into technical solutions. You will also maintain ETL/ELT workflows and contribute to the architecture and observability of the company's data ecosystem.

Data Engineer

You will design, develop, and maintain scalable data pipelines and ETL/ELT processes while modernizing legacy infrastructure. Additionally, you will collaborate with the analytics team to deliver effective data solutions and ensure the reliability and performance of the data platform.

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.

Data Engineer

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.

Data Engineer 484 applicants

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.

Data Engineer 26 applicants

The Data Engineer will design, optimize, and own data pipelines that scrape, process, and ingest transaction and listing data. They will also build monitoring systems to track data metrics and continuously improve the data infrastructure.

Senior Data Engineer

Own and develop the company’s analytics infrastructure, including data collection, ETL/ELT pipelines, orchestration, backfills, monitoring, and integrations with marketing, billing, product, and internal data sources. Build and maintain dbt models, implement data quality controls, and document data sources, models, and business logic for analytics teams.

Senior Data Engineer (Snowflake)

You will design, develop, and optimize data models and transformation workflows using Snowflake and dbt while modernizing legacy Oracle-based ETL processes. Additionally, you will contribute to architectural decisions and collaborate directly with client stakeholders to implement scalable data solutions.

Senior Data Engineer

You will design and scale robust data architecture to support analytics, experimentation, and decision-making across the company. You will also lead data quality initiatives and collaborate with cross-functional teams to build scalable data systems.

Data Engineer Salesforce Data 360

You will build and maintain the data foundation for Salesforce Data 360 and Agentforce by ingesting, harmonizing, and modeling data from various sources. Additionally, you will design identity resolution rulesets and implement transformation pipelines while ensuring data observability and cost optimization.

Data Engineer Analyst

Design, build, and maintain scalable data pipelines and ingestion frameworks using AWS services and Apache Spark. Collaborate with cross-functional teams to ensure data reliability, quality, and security across the platform.

Senior Data Engineer

Design and build a multi-source data platform for concurrent ingestion, event-driven processing, and orchestrated batch workflows. Manage the platform end-to-end, including architecture, ingestion, production operations, and data transformation using dbt.

2128 Sr Data Engineer - Platform Modernization & Migration

You will execute the end-to-end migration of approximately 1,000 datasets to Snowflake and upgrade orchestration workflows to Apache Airflow 3. Additionally, you will modernize legacy data structures to Apache Iceberg and optimize streaming infrastructure across cloud regions.

1174 - Data Engineer

Architect and maintain robust data ingestion pipelines while designing layered tables to transform raw data into analytics-ready formats. Collaborate with product teams to define technical criteria and ensure data foundation reliability through testing and monitoring.

1873 Sr Data Engineer – IBM DB2

Design, develop, and maintain batch and event-driven data pipelines while optimizing IBM DB2 database performance. Collaborate with cross-functional teams to integrate legacy systems with modern cloud platforms and ensure data reliability.

Fundable - Senior Data Engineer

Own the data platform from architecture through production, building concurrent ingestion and orchestrated batch and event-driven workflows for data from APIs, webhooks, files, and web scraping. Establish raw-to-curated data layers, reliable recovery and replay, data quality monitoring, and optimized PostgreSQL delivery, while integrating enrichment and LLM-based extraction.

Especialista Data Engineer (Sr.)

Design, build, and maintain scalable AWS data pipelines and optimized ETL processes using PySpark and SQL, while collaborating with stakeholders to deliver reliable data solutions. Monitor and tune pipeline performance, ensure data quality and governance, document workflows, and resolve second-level incidents.

Senior Data Engineer

The Senior Data Engineer will design, develop, and maintain scalable ETL/ELT pipelines while managing AWS workflows and orchestration tools. Additionally, the role involves leading a small team, collaborating with cross-functional stakeholders, and implementing AI-driven automation for engineering tasks.

Senior Data Engineer (LatAm Only)

Design and maintain robust data pipelines, ELT processes, and data warehouse architecture to support financial operations. Implement automated data orchestration and ensure data integrity through proactive monitoring and alerting.

Senior Data Engineer ID88015

You will document and replace legacy third-party data ingestion tools with a custom, owned ETL pipeline built within an AWS environment. Additionally, you will collaborate with data science teams to ensure output aligns with downstream attribution and scoring logic.

FinOps Engineer (Data)

Identify and deliver measurable cloud cost savings across AWS and GCP, and build reliable billing and usage data pipelines, models, and marts. Develop cost attribution, forecasting, anomaly detection, reporting, and automated governance tools while partnering with Engineering, Finance, and Product.

Sr. Data Engineer (Remote)

You will architect and lead the development of large-scale data pipelines and streaming systems to process billions of daily events. Additionally, you will own production data systems, ensuring high uptime, reliability, and scalability while collaborating with cross-functional teams.

Lead Data Engineer

The Lead Data Engineer will design, build, and maintain enterprise data pipelines and ETL workflows to ensure data accuracy and accessibility. They will collaborate with stakeholders to optimize high-volume workloads and manage AWS processing resources for effective data integration.

Senior Data Engineer ID82269

Develop and implement data pipelines and tooling for cost attribution, performance-informed financial modeling, and data transparency. Maintain end-to-end ELT/ETL processes to support stakeholders in making data-driven decisions.