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Remote Azure PySpark Data Engineer
Design and maintain ETL pipelines using Python (PySpark) and Azure Synapse Analytics to integrate and deliver data for client insights.
Remote Azure Data Engineer: ETL & Synapse Expert
Builds and maintains ETL pipelines using Python (PySpark) and Azure Synapse Analytics to deliver reliable analytical data for reporting and insights.
Azure Data Engineer – ETL, Data Quality & Synapse
Design and build data pipelines in Azure Synapse, ensuring high-quality, reliable data for analytics and reporting using SQL, PySpark, and cloud ETL/ELT tools.
Senior Data Engineer Azure • Databricks • Spark
Build and optimize scalable data pipelines and Lakehouse architectures using Azure Databricks, PySpark, and Azure cloud services for enterprise clients.
Data Engineer Senior Multicloud AWS y Azure
Build and maintain cloud data pipelines for a major Chilean bank, integrating AWS and Azure services to ensure reliable, high-quality data for analytics and BI.
Data Engineer AWS - ETL/PySpark in Cloud, Global Projects
Builds and optimizes AWS-based ETL/ELT pipelines in Python/PySpark, ensuring data quality and cost efficiency for global projects.
Data Engineer (Semi-Senior) – Build Scalable Data Pipelines
Builds and maintains scalable data pipelines using Python, PySpark, Airflow, and cloud data warehouses on AWS/Azure to process large volumes of data.
Data Engineer (contrato indefinido)
Build and maintain ETL/ELT pipelines and data warehouses on AWS, using Python, SQL, and PySpark to deliver clean datasets for analytics and reporting.
Data Engineer AWS
Build and optimize AWS-based data pipelines (ETL/ELT) using Glue, S3, Python/PySpark to ingest and transform customer data for analytics and automation.
Senior Data Engineer: Cloud Data Architect
Designs modern cloud data architectures, builds scalable ETL/ELT pipelines, and delivers analytics solutions using Azure, PySpark, and Python.
Data Engineer Senior
Design and build scalable cloud data pipelines and warehouses using Python, PySpark, and Azure services to power analytics and business insights.
Staff Data Engineer
Build and scale Checkr’s core data platform that powers identity and background checks for Uber, Airbnb, DoorDash and others, using PySpark, Kafka, AWS and modern data stacks.
Data Engineer Semi Senior
Build and maintain scalable data pipelines on Microsoft Azure, using Azure Data Factory, Databricks, PySpark, and Python to integrate and transform data for digital-transformation projects.
Azure Data Engineer (Semi Senior) – ETL & Pipelines
Designs and builds Azure-based ETL pipelines and data integration solutions using Data Factory, Databricks, PySpark, SQL, and Python.
Senior Data Engineer - Lakehouse & Cloud Pipelines
Senior Data Engineer builds scalable cloud data pipelines and Lakehouse architectures using Python, SQL, PySpark, and Azure for modern data projects.
Senior AWS Data Engineer
Senior AWS Data Engineer designs and builds scalable data pipelines and cloud data platforms using AWS services like S3, Glue, and Redshift to power analytics and AI/ML initiatives.
Senior Data Scientist â AI Strategy
Build and deploy enterprise-grade generative AI systems using LLMs, vector DBs, and agentic workflows; focus on production-grade AI apps and measurable business impact.
Senior Java Engineer with Data Engineering Experience
Senior Java engineer leads large-scale data migrations and builds petabyte-level ETL pipelines using Java, Spark, and cloud platforms, while mentoring teams and ensuring data integrity.
Xperts: Senior Java Engineer (Data Engineering)
Senior Java engineer designs and builds large-scale data migration and ETL pipelines using Java, Spark, and cloud services, while leading technical design and mentoring teams.
Data Engineering Lead
Lead the design and build of enterprise-scale data platforms using cloud tools (AWS/Azure), SQL, Python, Spark, and orchestration (Airflow) to deliver reliable, analytics-ready data for BI, AI, and reporting.