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Design and maintain scalable AWS data pipelines using PySpark, SQL, and Terraform to build and optimize data lakes and lakehouse architectures.
Build and maintain scalable PySpark data pipelines on AWS using Glue, Lambda, and Step Functions, with Terraform for IaC and CI/CD for deployment.
Build and maintain scalable ETL/ELT pipelines and data warehouses using Python, SQL, and cloud platforms to power analytics and AI products.
We are looking for a versatile Quantitative Software Engineer to join our Data Innovation Team. In this role, you won't just be managing data; you will be building the mathematical logic that serves as the…
Designs and optimizes scalable Azure data pipelines using Databricks, ADF, Data Lake Gen2, and SQL, ensuring reliable data flows for an enterprise project.
Builds and optimizes ETL pipelines using PySpark and Databricks to move and model data in a data warehouse.
Build and maintain scalable data pipelines on Azure using Databricks, ADF, and PySpark to process and transform enterprise datasets.
Builds and maintains scalable data pipelines using Databricks, PySpark, and ETL processes to power analytics and reporting in a data warehouse.
Build and maintain scalable data pipelines and AI platforms using Snowflake, Palantir Foundry, and PySpark to power analytics and workflows for functions like HR and procurement.
Build and deploy ML models to optimize ad targeting and bid strategies for a global mobile app monetization platform using Python, PyTorch, and AWS.
Build and maintain data pipelines that integrate SAP BW with Palantir Foundry, using PySpark, SQL, and ABAP to power analytics for helicopter manufacturing.
Design and build cloud-based data pipelines and analytics solutions on Azure, Microsoft Fabric, and Databricks for enterprise clients, using Python, PySpark, and SQL.
Build and maintain ETL/ELT data pipelines using Python, PySpark, and Databricks notebooks in an agile team focused on Big Data and Cloud.
Build and own Duetto’s Python/PySpark data lakehouse that powers real-time hotel pricing decisions, migrating from batch to streaming pipelines on AWS while driving data quality and AI-assisted tooling.
Mid-level developer building and maintaining cloud-based enterprise systems for U.S. government agencies using Python, SQL, PySpark, and Azure.
Builds and maintains ETL pipelines in Azure Synapse using PySpark to move data from APIs, SQL, and files into analytics-ready warehouses for reporting and modeling.
Design and build data governance frameworks and executive reporting solutions at Apple, ensuring data integrity, privacy, and security across the company using SQL, Spark, Python, and visualization tools.
Lead a team of data engineers to build and optimize large-scale data pipelines and cloud-based platforms using Python, Spark, and Databricks for analytics and ML workloads.
Senior engineer building and maintaining scalable SIEM and security telemetry pipelines, onboarding diverse enterprise data sources, and ensuring high-quality cybersecurity data delivery to Splunk and Databricks for threat detection and analytics.
Lead a team building and optimizing large-scale data pipelines and cloud-based platforms for analytics and AI, using Python, Spark, Databricks, and cloud-native tools.
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