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Build and maintain scalable data pipelines on Databricks Lakehouse using Spark, Delta Lake, and orchestrators to deliver trusted datasets for analytics and AI.
Build and maintain the data pipelines and retrieval layer that power Mirai’s Generative AI products on AWS, including vector stores, embeddings, and governed datasets.
Build and maintain scalable data models in Databricks and PySpark to turn raw logistics data into reliable analytics for Mexico and LATAM, ensuring quality, governance, and reusability.
Senior Data Engineer builds scalable pipelines and data infrastructure using PySpark, Python, SQL, Azure, and Databricks to turn raw data into insights for clients.
Lead the design of scalable, AI-powered data pipelines and lakehouse architectures for a global food manufacturer, optimizing cloud costs and enforcing governance across real-time streaming and ETL workflows.
Senior role managing Databricks environments, Delta Lake tables, and multi-cloud data pipelines using Python, SQL, and PySpark for reliable data delivery.
Design and maintain scalable data pipelines, cloud data lakes/warehouses, and ETL workflows using Python, Spark, and Airflow to support analytics and ML across AWS/GCP/Azure.
Build and maintain scalable data pipelines on Databricks and Azure, optimizing ETL/ELT processes to support analytics and ML initiatives for an insurance-focused team.
Designs and builds scalable ETL/ELT pipelines and data warehouses using Azure Synapse, Fabric, and Databricks, optimizing SQL queries and implementing Medallion architectures.
Designs and builds scalable ETL/ELT pipelines and data warehouses on Azure Synapse, Fabric, and Databricks, optimizing SQL queries and Medallion architectures for HR analytics.
Senior Data Engineer builds and maintains scalable ETL/ELT pipelines and cloud data solutions for manufacturing analytics and AI/ML at a global materials-science company.
Design and build enterprise-scale data platforms using SQL, Python, Snowflake, and dbt to power analytics, AI-enabled apps, and secure data products for a global cybersecurity leader.
Build and maintain scalable data pipelines on Databricks and Azure to feed analytics, ML, and reporting for an insurance company.
Builds and optimizes scalable data pipelines using Databricks and Delta Lake, enabling analytics and ML across cloud platforms like Azure, AWS, or GCP.
Principal Data Engineer builds and scales cloud data pipelines using Databricks/PySpark, DBT, Airflow, and Snowflake to power analytics for retail, CPG, and fintech clients.
Lead hands-on design and build of scalable cloud data pipelines and platforms for manufacturing analytics and AI/ML, using Python, Spark, and AWS.
Designs and builds scalable data pipelines on Azure using Databricks, PySpark, Python and SQL, focusing on Delta Lake and CI/CD for enterprise analytics.
Build and maintain scalable data pipelines and infrastructure to power AI/ML features in Tebra’s healthcare EHR platform, ensuring reliable, high-quality datasets for model training and production inference.
Lead a team to design and build scalable Azure-based data pipelines and Lakehouse architectures using Databricks, Delta Lake, and Azure Synapse to integrate enterprise data for analytics and AI insights.
Senior Data Engineer builds and optimizes Databricks-based ETL/ELT pipelines for a global investment firm using PySpark, Delta Lake, and modern Lakehouse architectures.
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