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Build and maintain secure, scalable APIs on Kubernetes that wrap AI services (Databricks, Azure OpenAI, AWS Bedrock) for regulated insurance use cases, enforcing compliance, auditability, and real-time streaming outputs.
Manger Data Engineer Department: Data & AnalyticsReports To: Director, Data EngineeringLocation: Remote (U.S.) Position Summary Penn Foster Group is seeking an experienced Lead Data Engineer to help shape the…
Designs and implements scalable Azure and Databricks data platforms for enterprise AI solutions, focusing on data lakes, streaming analytics, and governance.
Design and build scalable Azure Databricks data pipelines and warehouses using PySpark, Delta Lake, and Azure services to power enterprise analytics and AI workloads.
Build and optimize scalable Azure Databricks pipelines and data lakes using PySpark and Delta Lake to power enterprise analytics and AI workloads.
Build and maintain petabyte-scale data pipelines in Azure Databricks and Spark to power analytics and player insights for Rockstar Games' titles.
Build and deploy real-time data pipelines and integrations for enterprise clients using Java/Python, Kafka, CDC, and Kubernetes across AWS/GCP/Azure.
The Manager, Data and Analytics is a hands-on technical leadership role responsible for the design, development, and delivery of enterprise data and analytics platforms. They define and execute the organization’s data…
Build and maintain Azure-based ETL/ELT pipelines and data models to deliver reliable, governed data for analytics and reporting at a UK care provider.
Principal AI Data Engineer builds and deploys GenAI, RAG and agentic AI prototypes using Azure AI Foundry, Databricks Mosaic AI and LangChain on Azure cloud.
Build and maintain ML pipelines on Azure and Databricks, deploy models, and set up MLOps processes for a higher-education group.
Principal Data Architect defines and leads enterprise data architecture for cloud-native platforms, designing scalable, secure data solutions to support digital transformation and data-driven decisions in wealth management.
Lead a team of data engineers to build and scale cloud-based data pipelines and warehouses using Snowflake, Spark, and AWS, while shaping Evernorth’s enterprise data strategy.
Configure and maintain Veeva Vault QMS for life-sciences quality processes, integrate with enterprise systems, and build Databricks data pipelines while ensuring compliance and audit readiness.
FULL-STACK DATA ENGINEER at MOTOR INFORMATION SYSTEMS MOTOR Information Systems, an operating group of Hearst, is actively seeking a Full-Stack Data Engineer. Ideally, a hands-on data engineer who possesses a strong…
Build and scale enterprise-grade data platforms for healthcare data using Azure, Databricks, and Spark to enable secure, governed analytics and self-service data products.
Build data products (dashboards, models, apps) that help Greystar’s business teams make faster, sharper decisions using SQL, Python, Databricks, and AI tools.
Build and scale distributed Scala/Spark pipelines on Databricks that compute audience membership for FOX’s ad platform, integrating with ad servers and optimizing performance at ad-tech scale.
Design and build enterprise-scale data pipelines and warehouses in Snowflake, integrating Databricks and cloud storage to power analytics and AI-driven decisions for a large fintech platform.
Build and optimize data pipelines and cloud infrastructure for automotive content platforms using Python, AWS, Databricks, and Kubernetes.
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