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Design and secure scalable data platforms on AWS/Azure/GCP, integrating Databricks and AI/ML pipelines while ensuring compliance and guiding customers through technical solutions.
Designs and builds data-processing pipelines and analytics tools to extract insights from structured/unstructured intelligence data using Java/Python, cloud services, and big-data frameworks like Spark and Hadoop.
Builds and optimizes large-scale data pipelines and real-time systems using Java, Spark, Python, and Hadoop ecosystem tools to support banking operations and AI-driven analytics.
Qualifications As a Data Architect, you will also be responsible for coaching and mentoring peers within WWT as the data practice grows and expands. Successful applicants must have the experience and capability to…
Stardog, the leading Enterprise Knowledge Graph platform, turns data into knowledge to power more effective digital transformations. Industry leaders including Bosch, NASA, and Raytheon use Stardog to create a flexible…
Embed with enterprise customers to prototype and deploy full-stack AI/ML applications, advising on architecture and operationalizing GenAI/agentic systems on Cloudera’s platform.
Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a…
Design, deploy, and maintain Kafka clusters in Kubernetes on AWS, using Schema Registry and Security Manager to ensure scalable, secure data pipelines for government clients.
Lead a team migrating a large-scale Hadoop/Kafka data platform from Cloudera to AWS serverless services while maintaining stability and enforcing security and compliance.
Builds and maintains scalable software systems for government missions, focusing on data analytics and cloud-based applications using Java, Python, JavaScript, and AWS.
Lead a DevOps team to build and maintain AWS-based infrastructure for federal health IT systems, using Terraform, Windows Server, and containerized .NET/Node.js workloads.
Designs and builds high-performance backend systems and distributed services for mission-critical operations, using Java, Kubernetes, and messaging technologies like RabbitMQ.
Develops and maintains Java-based enterprise data processing and knowledge management systems for intelligence operations, using Spring, ETL tools, and AI-assisted workflows.
Designs and maintains secure, cloud-native data pipelines and cybersecurity software for a federal customer using Apache NiFi, Kubernetes, AWS/Azure, and Python/Java.
Designs and builds secure, cloud-native software for cyber threat intelligence sharing using Kubernetes, Python/Java/Bash, and AWS/Azure, while integrating data flows and standards like STIX/TAXII.
Develops and maintains Java-based enterprise data processing and knowledge management solutions for intelligence operations, including ETL workflows and AI-assisted development tools.
Designs and maintains RF data processing systems and enterprise data flows for a government customer, using tools like Apache NiFi and Jira to ensure reliable data ingestion and network connectivity.
Senior Software Engineer builds and maintains large-scale analytics and real-time systems for government intel work using Java, Spring Boot, Kubernetes, AWS, and LLMs.
Build and maintain data pipelines and models for a telecom company, using SQL, Python, and ETL tools to support analytics and AI initiatives.
Designs and applies statistical models and AI/ML solutions to improve semiconductor manufacturing quality, process control, and change management in Intel’s foundry operations.
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