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Data Engineer (Semi Senior) – Databricks, SQL & AWS
Designs, builds, and optimizes cloud data pipelines using Databricks, SQL, and AWS for analytics and data science teams.
Senior Data Engineer - Azure ETL for Banking (Hybrid)
Designs and maintains Azure-based ETL/ELT pipelines for a Chilean bank, using Data Factory, Databricks, Synapse, and Azure DevOps.
Senior Data Software Engineer — AI-Driven Pipelines on Azure
Builds high-performance big-data apps and cloud-native pipelines on Azure using Scala, Python, and Databricks, while integrating AI-assisted engineering practices.
Data Engineer
Build and maintain a federated lakehouse platform for a LatAm SaaS group, transforming siloed data into trusted, auditable domains that power real-time financial decisions across Chile, Mexico and Argentina.
Data Engineer
Builds and maintains ETL/ELT pipelines on Azure for a Chilean bank, using Databricks, Synapse, and Data Factory to move and transform financial data.
Data Engineer
Build and maintain a federated data lakehouse for a LatAm SaaS group, transforming siloed data into governed, multi-region domains that power analytics, APIs, and AI agents for accounting, payroll, and e-invoicing apps.
Lead Data Engineer: Java + AWS, Scalable Pipelines
Lead a team to build and scale data pipelines using Java and AWS, ensuring robust, high-performance data platforms for enterprise clients.
Senior Data Engineer – Azure Databricks & Pipelines
Senior Data Engineer builds and maintains Azure Databricks pipelines in Python to process and transform data for Accenture’s internal tech teams.
Senior Data Engineer
Design and maintain Snowflake-based data pipelines and governance solutions, ensuring privacy, quality, and compliance while collaborating on scalable data architecture.
Data Engineer Senior
Design and build scalable cloud data pipelines and warehouses using Python, PySpark, and Azure services to power analytics and business insights.
Lead Data Engineer: Automate Pipelines & Predictive AI
Lead a team to build and automate data pipelines for reporting, BI, and predictive AI using Python, Databricks, SQL Server, and Tableau.
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.
Sr. Data Engineer (Snowflake)
Build and optimize cloud data pipelines and warehouses (Snowflake/BigQuery) to power AI-driven analytics and BI for global consumer brands.
Data Engineer (SQL-focused)
Data Engineer reviews existing SQL code and ETL pipelines to validate data flows, document technical dependencies, and ensure business rules are correctly implemented in an AI services provider's platform.
Azure Databricks Data Engineer — AI-Driven Pipelines
Designs and builds scalable data pipelines on Azure Databricks and Python, integrating AI for automated classification tasks while collaborating with global teams.
Lead Data Engineer (Python+Azure) for Cloud Data Pipelines
Lead the design and build of scalable cloud data pipelines using Python, SQL, and Azure/Databricks, while mentoring engineers and optimizing data flows.
Data Engineer
Senior Data Engineer builds and maintains data pipelines and analytics solutions using Azure Databricks, Python, and cloud infrastructure, collaborating with teams to deliver data-driven insights.
Lead Data Software Engineer (Java+AWS)
Lead the design and delivery of scalable data platforms using Java and AWS, mentoring engineers and optimizing cloud-based data pipelines.