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The Data Engineer will design and build scalable data lakehouse platforms and ETL pipelines on AWS for a government project. The role involves implementing data quality frameworks, using infrastructure-as-code tools, and ensuring robust data governance.
OUR VISION EQUS is building the trust infrastructure for personal AI. Our product suite spans a personal AI assistant, a personal data store with per-file, user-controlled access, and a developer toolkit for agent…
Job Description Fabletics is currently looking for a DevOps Engineer II. How do you fit in? We're looking for a skilled DevOps Engineer II to join our DevOps team. You'll work across a diverse, high-scale…
Managing trillions of objects in storage, retrieving them in ms, building software that deploys to tens of thousands of hosts, designed for 99.999999999% durability. These are just a few of the numbers that give you a…
Für unser Geschäftsfeld Data, Security and Identity im Tribe Data Management and Governance (DSIDMG) suchen wir dich in Voll- oder Teilzeit ab 30 Wochenstunden als Big Data DevOps Engineer (m/w/d) in Karlsruhe. Deine…
Für unser Geschäftsfeld Data, Security and Identity im Tribe Data Management and Governance (DSIDMG) suchen wir dich in Voll- oder Teilzeit ab 30 Wochenstunden als Software Engineer Data Integration Hub (m/w/d) in…
PMO Manager | S3 | Everyday Banking (RBB) – TSB Integration | Multiple Locations | Internal MobilityCountry: United Kingdom IT STARTS HERE Santander () is evolving from a global, high-impact brand into a…
Where Ambition Meets Innovation Build a career that matches your initiative with an environment centered on innovation, collaboration, and impact. At LPL Financial, you’ll work with modern technology, supportive…
Lead with Purpose, Unlock Your Team's Passion At LPL, people leaders hold the key to the employee experience - shaping culture, driving performance, and guiding individuals to new heights. Because when that…
We’re looking for a Senior Full-Stack Engineer who is strong in .NET and Angular , but equally comfortable adapting across technologies and stacks when the project calls for it. You’ll join our engineering team on a…
Optum Tech is a global leader in health care innovation. Our teams develop cutting-edge solutions that help people live healthier lives and help make the health system work better for everyone. From advanced data…
Designs and migrates on-premises big data platforms (Netezza) to AWS, building scalable pipelines, ETL/ELT workflows, and real-time data processing systems using AWS services like EMR, Redshift, and Airflow.
Cloud Data Engineer on a 12-month contract building and maintaining AWS infrastructure, MuleSoft integrations, and data pipelines for a child health research program at MCRI.
Senior Fullstack Engineer designing and building cloud-native eClaims and customer portals for an Australian insurance distributor, focusing on seamless digital experiences and modernizing legacy systems with .NET, React, and AWS.
Senior Full-Stack Engineer at an AI startup driving end-to-end product development—from architecture and coding to deployment and ops—using React/Vue/Angular, Node.js/NestJS, Python/Go, AWS, and AI-assisted dev tools.
Design and scale large-scale, data-intensive backend systems and REST APIs, mentor engineers, and improve cloud infrastructure using TypeScript, Node.js, Python, C#, and AWS.
Build and deploy autonomous AI agents that handle data engineering tasks (ingestion, transformation, validation, remediation) on AWS, using LLMs, agentic frameworks, and RAG systems with minimal human intervention.
Senior AI Platform Engineer on an Advanced Analytics team, transforming machine learning and Generative AI solutions into secure, scalable, production-ready applications in a hybrid/onsite role.
Leads data transformation and migration for NSW Fair Trading’s digital modernization, ensuring accurate, compliant data for regulatory and customer-facing systems. Core focus: ETL, SQL, AWS, and Salesforce integrations.
Lead Data Engineer at RBC responsible for end-to-end delivery of an enterprise-scale, AI-ready data platform — shaping data flows, supporting AI/ML pipelines, and driving analytics. Core tech includes SQL, Kafka, event streaming, and Lakehouse architectures (Delta Lake, Iceberg).
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