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This Data Engineer role involves building and maintaining scalable data pipelines and analytics solutions within the asset management sector. The position requires expertise in Snowflake, Azure, Python, and dbt, with a focus on delivering AI-enabled data platforms.
The Azure Data Engineer will design and maintain scalable cloud-based data pipelines and ETL frameworks using Azure services like ADF, Databricks, and Synapse. The role requires strong programming skills in Java or C# to build reusable components and integrate data across enterprise systems.
A Senior Full Stack Software Engineer designs, develops, and maintains scalable healthcare technology solutions using C#, .NET, React, TypeScript, and Microsoft Azure, building APIs, integrating third-party systems, and improving application architecture.
Builds and maintains full-stack .NET applications, handling both frontend (Angular/React) and backend (.NET Core) development, with a focus on performance, security, and cloud-native solutions using Azure.
Seneca Technologies is part of the Seneca Nation Group (SNG) portfolio of companies. SNG is Seneca Holdings’ federal government contracting business that meets mission-critical needs of federal civilian, defense, and…
The impact you will make You will be responsible for the development of new features and tools to support our industry leading healthcare software. As a Software Engineer at FinThirve, you'll play a vital role in…
VetsEZ is currently looking for a Senior Azure Integration Engineer for a 100% remote position supporting a large federal government healthcare modernization project. This role will lead the design, development, and…
Build secure, scalable APIs and cloud-native services on Azure to integrate VA healthcare systems with DoD data for a federal modernization project.
Python QA Engineer validating backend services, data processing, and calculation logic for the Nexus application. Focuses on end-to-end data validation across services, APIs, and databases, collaborating with teams in an Agile environment. Core technologies: Python, Azure Functions, SQL.
Location: Roma, LAZIO - Italia Può ottenere maggiori dettagli sulla natura di questa posizione e sui requisiti per i candidati leggendo quanto segue. Area: AI, Data & Hyperautomation Modalità di lavoro: Ibrido…
Overview Join Faktion, a leader in designing and developing enterprise‑level AI solutions across various sectors. We are at the forefront of machine learning and artificial intelligence, creating innovative solutions…
Join Faktion, a leader in designing and developing enterprise-level AI solutions across various sectors. We are at the forefront of machine learning and artificial intelligence, creating innovative solutions that drive…
Designs, builds, and migrates enterprise-scale Azure environments, automating infrastructure with IaC (Terraform/Bicep) while ensuring security, scalability, and resilience for public/private sector clients.
Design and deliver cloud-native, AI-powered enterprise applications using .NET, Azure, and generative AI tools, leading full-stack development and customer engagements.
Full Stack Software Engineer building .NET services and Angular front-ends (50/50 split) using SQL and Azure services for a global cloud provider's capacity and supply chain systems.
Builds and maintains Azure-based data pipelines, pipelines, and cloud data solutions; works with Python, SQL, and Azure tools like Databricks and Synapse to optimize data workflows and collaborate with stakeholders.
Design and manage Azure-based CI/CD pipelines, implement infrastructure as code with Terraform and Ansible, and manage cloud-native containerized applications on Azure.
Designs and scales GenAI-powered applications for ZEISS, focusing on enterprise-grade solutions like copilots, agents, and smart workflows using Azure and LLMs.
Build and improve e-commerce portals for mining and construction using .NET and Azure, integrating Agentic AI for automation and better user experiences.
DevSecOps senior engineer responsible for building and maintaining enterprise cloud platform CI/CD pipelines, infrastructure as code with Terraform, and container/serverless architectures across Azure and AWS.
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