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We are looking for a Data Solution Architect to lead the design and evolution of modern, scalable data platforms on Microsoft AWS . In this role, you will define architecture standards, guide engineering teams, and…
Description Job Summary: The Data Engineer designs, builds, and operates reliable, scalable data pipelines on PowerSecure's Azure data platform to enable trusted analytics and self-service BI. This role partners with…
Intermediate Data Engineer builds and maintains Azure-based data pipelines and analytics platforms for a government regulatory system, using Databricks, PySpark, and SQL.
Senior Software Engineer to modernize LivePerson's data platform by migrating legacy Hadoop/Spark pipelines to Databricks, building scalable cloud-native data workflows, and ensuring data quality and reliability.
Databricks Data Engineer We are seeking an experienced Databricks Data Engineer to design, develop, and optimize scalable data solutions using the Databricks platform. The ideal candidate will build and maintain…
Designs and implements a secure federal data platform for AI systems, focusing on governance, Databricks integration, and compliance with IL4/NIST standards.
Designs and governs AI-ready data architectures for retail media and ad tech platforms, leveraging Azure, Databricks, and Snowflake to enable scalable, governed data products and semantic layers.
Develops and maintains .NET backend services on Azure for a cloud supply chain project, focusing on scalable distributed systems and data pipelines.
Develops and maintains .NET-based backend services and APIs on Microsoft Azure, focusing on cloud supply chain solutions and data pipeline migrations.
Build and modernize a scalable financial data platform using Snowflake, Databricks, and Python, focusing on reusable pipelines, AI-driven automation, and operational efficiency for enterprise investment data.
Builds and maintains scalable data pipelines and lakehouse solutions for financial services clients, focusing on ETL/ELT, data integration, and regulatory reporting using Python, SQL, PySpark, and Azure services.
Build and maintain the core data infrastructure that powers AI research, training, and production at an open-source AI lab, using distributed systems like Spark, Kafka, and Airflow.
Designs and maintains Azure-native data pipelines for a global mining company, transforming operational data into analytics-ready datasets using Azure Synapse, Databricks, and Data Factory.
Designs and maintains scalable data pipelines and models in Snowflake and Airflow using Python, enabling analytics and AI applications for enterprise clients.
Builds an AI-powered system to automatically extract, validate, and structure data from technical documents and device photos, integrating with SAP for energy infrastructure projects.
Designs and maintains scalable AI data platforms for manufacturing operations, building pipelines and frameworks to turn factory and multimodal data into AI-ready datasets.
Designs and migrates enterprise-grade data platforms, pipelines, and lakehouse architectures (e.g., Databricks) for government clients, ensuring scalability, security, and alignment with business needs.
Step into a role where you'll help shape the future of finance. As part of our Finance Transformation team, you'll collaborate with CFOs, finance leaders, and executive clients to solve their most complex…
Builds and optimizes large-scale data pipelines using Apache Spark, Databricks, and cloud technologies to process and transform financial risk data.
Leads design and mentorship for large-scale data pipelines and graph-based analytics using Spark, Databricks, and cloud platforms, ensuring performance, quality, and team growth.
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