Tech jobs
Job listings
Senior Data Engineer — Remote/Hybrid Data Platform Architect
Design and build scalable data platforms, data lakes, and pipelines for enterprise clients using SQL, PySpark, and cloud services like Azure/AWS/GCP.
HUB - Data Engineer Senior
Senior Data Engineer builds and maintains ETL/ELT pipelines in Azure Synapse and SQL Server, using PySpark and Microsoft Fabric to deliver clean, governed data for analytics.
Cloud Data Engineer - Azure, PySpark & ETL Pipelines
Designs and builds scalable cloud data pipelines using Azure, PySpark, and ETL tools to enable reliable data platforms and analytics for global teams.
Data Engineer (Ingeniero de Datos)
Build and maintain scalable data pipelines and BI dashboards using Azure, Python, Power BI, and DOMO to deliver real-time insights and automated reporting for an adtech platform.
Data Engineer — Azure/PySpark Lakehouse
Designs and maintains cloud data pipelines using PySpark and Azure, focusing on SQL and data migration projects for a multinational team.
Senior Data Engineer
Senior Data Engineer builds and maintains enterprise data products on Microsoft Fabric, designing scalable ELT pipelines and lakehouse solutions while collaborating with business stakeholders to deliver trusted, reusable data assets.
Digital Health Data Engineer - Remote Latam
Builds and maintains data pipelines for digital health applications, processing multimodal biosensor time-series data (accelerometer, ECG, PPG, EEG) using Python, cloud-native tools, and AWS services.
Data Engineer Semi Senior
Designs and builds scalable AWS-based data pipelines, ELT processes, and analytical models using Python, Spark/PySpark, and SQL for enterprise analytics.
Data Engineer: Azure & PySpark ETL Pipelines
Designs and maintains ETL/ELT pipelines using PySpark and Azure/Microsoft Fabric to transform data for business teams while ensuring quality and governance.
Hub - Data Engineer Senior
Senior Data Engineer builds and maintains ETL/ELT pipelines in Azure Synapse and SQL Server, using PySpark and Microsoft Fabric to transform and govern enterprise data.
Hybrid Junior Data Engineer: Build Pipelines & Automations
Build and maintain data pipelines using Python, PySpark/Scala, and SQL/NoSQL to ensure data quality and availability for analytics and automation.
Senior Data Engineer
Design, build, and optimize ETL pipelines and data warehouses using Python, PySpark, Databricks, and cloud platforms to power marketing analytics and digital media reporting.
Senior Data Engineer
Build and maintain data pipelines using PySpark and Azure, migrating legacy SQL Server logic to modern lakehouse architectures while ensuring data quality and consistency.
Senior Data Engineer
Senior Data Engineer designing scalable, event-driven data architectures and cloud cost optimization for enterprise clients, primarily in finance, using Python, Spark, AWS, and Kubernetes.
Senior Data Engineer
Senior Data Engineer designing scalable, event-driven data architectures and cloud cost optimization in AWS for enterprise analytics and ML pipelines.
Senior Data Engineer
Senior Data Engineer builds and optimizes PySpark/EMR pipelines, a Hudi-based lakehouse, and data APIs on AWS to power real-estate analytics and ML models for lead generation and property valuation.
Data Engineer Junior
Build and maintain ETL/ELT pipelines in Azure Synapse and SQL Server, transform data with PySpark, and optimize semantic models using Microsoft Fabric and DAX.
Senior Data Engineer
Build and maintain scalable data pipelines and ETL workflows using Databricks, Apache Spark, and cloud services to power analytics and ML workloads.
Azure Data Engineer
Build and maintain large-scale data pipelines using Azure Databricks, PySpark, and SQL to process terabyte datasets and ensure data quality.
Databricks Data Engineer: Lakehouse Pipelines & PySpark
Build and maintain large-scale data pipelines using PySpark on Databricks, implementing ETL/ELT processes and lakehouse architectures for analytics.