8,326 Agile jobs available for remote work from home. Apply for positions such as Data Engineering Expert, Partner Integration Manager (all genders) | International, CRM Marketing Specialist (for pooling), and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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The role involves designing and deploying advanced Power BI solutions and managing complex ETL pipelines across Azure data services. You will also be responsible for optimizing data storage, performing SQL query tuning, and collaborating with cross-functional teams to deliver high-quality data insights.
You will build and manage partnerships with European e-commerce providers to drive seller success and marketplace growth. You will act as a bridge between partner solutions and internal teams to ensure seamless integration and high adoption rates of new features.
The CRM Marketing Specialist will lead the daily operations of CRM programs, including planning, executing, and optimizing multi-channel campaigns. They will also manage audience segmentation, track performance KPIs, and collaborate with cross-functional teams to drive customer retention and loyalty.
Design, develop, and maintain high-performance Windows desktop applications for document management and workflow automation. Collaborate with cross-functional engineering teams to integrate cloud-based backends and optimize application performance.
The Integration Engineer will design, build, and maintain scalable data flows and integration pipelines across enterprise systems including ERP, HRIS, and FinOps platforms. They will also implement automation scripts, manage CI/CD processes, and ensure system reliability through monitoring and observability.
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The role involves leading complex ERP/SCM/HCM/EPM consultancy projects for strategic clients while ensuring project health, budget adherence, and customer satisfaction. You will manage cross-functional teams, develop integrated project plans, and drive technical solutions to meet business challenges.
You will manage a portfolio of enterprise customer accounts, overseeing the full software implementation lifecycle from scoping and requirements gathering to configuration and UAT. Additionally, you will provide ongoing post-implementation support, manage service desk tickets, and contribute to internal knowledge base development.
You will drive manual and automated quality assurance efforts across live casino platforms to ensure product stability and scalability. This involves designing test cases, executing frontend and backend testing, and collaborating with cross-functional teams to embed quality into the development lifecycle.
The Support Engineer will resolve customer support cases, troubleshoot installation issues, and reproduce bugs. They will also act as a liaison for the community and maintain technical documentation and knowledge base content.
Lead projects from initiation through delivery, managing scope, planning, budgeting, and resource coordination. Facilitate project stand-ups while maintaining a focus on customer outcomes and clear stakeholder communication.
Implement and operationalize secure, scalable backend and frontend services with a focus on API-first design and event-driven architectures. Integrate blockchain networks and Web3 SDKs while maintaining high test coverage and technical documentation.
Develop and extend features within the existing product suite while participating in the full agile development process. Collaborate with QA, product owners, and the development team to remediate issues and implement new product features.
The Data Engineering Expert will design, develop, and deploy complex Power BI solutions and ETL pipelines to provide actionable business insights. They will also manage data storage in Azure, optimize query performance, and mentor team members on best practices.
Design, develop, and deploy complex Power BI solutions and ETL pipelines to provide actionable business insights. Manage data storage in Azure, optimize performance for SQL and DAX queries, and contribute to cross-functional team development.
You will design and develop scalable, maintainable, and future-proof software architectures while ensuring high standards for performance, security, and quality. Additionally, you will provide technical leadership by coaching development teams and driving modernization efforts through refactoring and migration strategies.
The consultant will analyze business requirements to design and implement scalable data and integration solutions using Informatica technologies. They will collaborate with cross-functional teams to support data governance, data modeling, and project delivery within an Agile framework.
The developer will maintain and improve existing applications while independently implementing new features and enhancements. They will also contribute to the development of AI-driven solutions, including LLM-based chatbots and backend services.
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The Business Analyst will gather and document requirements for banking FAQ systems and collaborate with development teams to integrate chatbot solutions. They are also responsible for monitoring user feedback to improve response quality and ensuring project compliance with banking regulations.
The Automation Engineer will build and maintain infrastructure automations to support cloud provisioning and demo environment management. They will also assist in CI/CD pipeline implementation and ensure the reliability and scalability of demo systems.
You will build, test, and maintain business-critical data products including lakehouses, pipelines, and AI-driven solutions using Microsoft Fabric and Azure. You are also responsible for direct technical communication with clients to clarify requirements and explain technical decisions.
You will execute quality activities such as testing and risk assessment to ensure quality bars are met across the software development life cycle. Additionally, you will collaborate with artists, producers, and remote QA professionals to deliver results in a high-pressure, agile environment.
The Project Manager will lead and manage compliance programs, continuous improvement initiatives, and project staff execution across assigned service programs. They are responsible for ensuring adherence to governance standards, managing project resources, and serving as the primary interface with the customer.
The SQA Tester will design, develop, and implement testing methods to ensure products meet specifications while collaborating with developers and end users. Responsibilities include creating test plans, tracking defects, and monitoring test processes for continuous improvement.
The Cloud Architect will design and guide the implementation of enterprise-scale cloud solutions while leading cross-functional teams through the software development lifecycle. They are responsible for modernizing legacy environments, building cloud-native architectures, and implementing automated DevOps pipelines.
You will collaborate with engineering and product teams to mature security practices and build automated, production-quality security tooling. Additionally, you will conduct security assessments, provide architecture advice, and support the adoption of AI-native systems.
Create innovative, must-have insights and provocative visions regarding enterprise AI strategy for C-level clients. Provide actionable advice and sales support through virtual and in-person interactions to help clients achieve mission-critical objectives.
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The Senior Director will create innovative, must-have insights and market predictions to guide enterprise leaders in AI and cloud infrastructure. They will act as a trusted advisor to clients, delivering actionable advice through virtual and in-person engagements while supporting sales and research teams.
The Business Analyst will collaborate with clients and engineering teams to identify data requirements and translate complex workflows into actionable automation specifications. They are responsible for navigating payer portals, documenting processes, and validating automated solutions against manual workflows.
You will balance development velocity with system reliability by implementing service level objectives and automating toil. You will also investigate production issues across the stack and collaborate with engineering teams to improve service performance.
You will design, build, and deploy end-to-end machine learning models for supply chain prediction problems like ETA/ATA forecasting. Additionally, you will mentor other data scientists and translate model performance improvements into tangible business impact.
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