697 Big Data jobs available for remote work from home. Apply for positions such as Business Development & Solutions Executive, Staff Software Engineer - Semantic Foundation, Staff Software Engineer - Semantic Foundation, and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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The role involves managing complex sales opportunities, including RFI responses, commercial modeling, and technical proof-of-concepts. You will also be responsible for building long-term stakeholder relationships and maintaining pipeline health within the CRM.
The Staff Software Engineer will own the orchestration and containerization stack while driving initiatives in CI/CD automation, observability, and data governance. They will bridge the gap between data engineering, infrastructure, and operations to ensure a robust, production-grade data platform.
The Staff Software Engineer will architect, scale, and maintain multi-cloud data infrastructure while taking ownership of the orchestration and containerization stack. They will drive initiatives in CI/CD automation, observability, data governance, and cloud cost optimization to support enterprise data workflows.
You will design and implement a next-generation data platform while leading architectural decisions and mentoring engineering teams. You will also collaborate with cross-functional teams to align technical strategies with product goals and ensure high availability and data governance.
You will drive data and AI architecture decisions while providing insights to influence scalable data solutions. Additionally, you will educate customers on resilient, secure architectures and translate complex client needs into actionable requirements.
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The Regional Vice President will drive revenue growth by managing the full sales cycle, from prospecting and lead generation to closing contracts within an assigned territory. They will collaborate with internal teams to provide specialty service line solutions while maintaining long-term client relationships and meeting budgeted sales goals.
The AI Engineer will design, build, and deploy advanced AI and Generative AI solutions across healthcare platforms to improve outcomes and operational efficiency. This role involves managing end-to-end AI model development, data processing, and system integration while ensuring compliance with healthcare regulations.
You will act as a principal technical advisor and advocate for customers, driving the adoption and operational health of their AWS environments. You will collaborate with internal engineering teams to resolve technical issues and provide strategic guidance to senior leadership.
Lead and mentor a team of data scientists to develop cutting-edge threat detection and agentic AI systems for cybersecurity. Drive the technical strategy for machine learning initiatives while collaborating across functions to deliver innovative security solutions.
The analyst will design and maintain interactive dashboards to visualize complex military aircraft maintenance data and support CBM+ initiatives. They will also provide domain expertise to guide AI/ML model development and conduct exploratory data analysis to identify operational trends.
Lead the development of scalable data pipelines and analysis systems using large secondary data sources like Medicare and Medicaid claims. Provide best practice solutions for data processing optimization and mentor junior developers on technical standards.
The Data Architect will design and oversee scalable data infrastructure while collaborating with stakeholders to translate business requirements into effective data engineering solutions. They are responsible for defining data models, ensuring data quality, and providing technical guidance to engineering teams throughout the implementation process.
Design, model, and develop the GCP data ecosystem including data lakes and warehouses while ensuring optimal performance. Provide technical troubleshooting, mentor junior engineers, and collaborate directly with clients to define business requirements.
You will build and prototype full-stack AI applications while partnering with strategic customers to drive AI use cases from prototype to production. Additionally, you will shape enterprise AI strategy and codify successful solution patterns into repeatable architectures.
The Lead Engineer will spearhead AI/ML development efforts, designing and deploying Agentic AI solutions within the ServiceNow ecosystem. They will also mentor a team of developers while managing complex projects across cloud platforms and big data environments.
You will own the product vision, roadmap, and execution for internal technical initiatives, focusing on data-intensive systems and foundational datasets. You will also lead cross-functional efforts to improve the quality, reliability, and usability of internal platforms and datasets.
Lead the design and implementation of shared AI observability and security platform capabilities to detect and mitigate risks in generative AI systems. Collaborate with cross-functional teams to build large-scale data processing pipelines and establish reusable engineering patterns for AI safety.
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The Senior AWS Data Architect will guide the technical team in data architecture decisions, standards, and cloud best practices. They will also oversee the design and implementation of scalable data solutions, including Data Lake and Lakehouse architectures.
The technician will manage U.S. territory maintenance, product testing, and provide on-site and remote technical support for satellite communication systems. They will also serve as the primary interface for partners, deliver customer training, and ensure proper tracking of equipment and repair activities.
Design, develop, and deploy advanced AI and Generative AI solutions for healthcare platforms while ensuring system integration and performance optimization. Collaborate with cross-functional teams to automate workflows and maintain compliance with healthcare industry regulations.
Lead a high-performing engineering team to develop and implement advanced AI solutions, including LLM-powered decision automation and fraud detection. Define technical vision, establish governance frameworks, and partner with stakeholders to align engineering roadmaps with business priorities.
Design, build, and maintain scalable big data pipelines and architectures to support robust data solutions. Collaborate with cross-functional teams to implement data integration, transformation, and processing solutions.
You will design, build, and maintain scalable data platforms and automated pipelines to support product and business teams. Additionally, you will define technical standards, ensure data quality and observability, and collaborate on strategic architecture decisions.
The Sovereign Cloud Sales specialist will lead the strategy and execution for Sovereign Cloud opportunities across EMEA by building relationships with key vendors and customers. This role involves driving internal and external sales motions, managing regional forecasts, and aligning cross-functional teams to deliver revenue-producing outcomes.
The Lead Database Administrator will deploy, monitor, and optimize SQL Server and cloud-native AWS database systems to ensure high performance and reliability. They will collaborate with systems engineers and developers to modernize data platforms and automate administrative processes.
The Staff Engineer will design and implement complex software solutions while providing technical leadership, mentoring, and guidance across the organization. They will also define engineering standards, manage technology vendors, and lead the resolution of critical incidents to ensure resilient enterprise systems.
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The Lead Data Architect is responsible for defining corporate data architecture, standards, and metadata management policies while overseeing data modeling and integration projects. They also lead the design and implementation of master and reference data management solutions while mentoring team members.
The Staff Threat Analyst will serve as the operational architect for Advertiser Fraud, establishing strategy and building foundational detection playbooks. They will partner with cross-functional teams to convert adversarial insights into scalable automated defenses.
The Data Scientist will collaborate with stakeholders to collect, clean, and analyze large datasets to support strategic initiatives. They are responsible for developing predictive models and mentoring users on interpreting data to derive actionable insights.
You will architect and build a scalable, modern data platform to support batch and streaming use cases while ensuring high availability and performance. You will also collaborate with cross-functional teams to operationalize data engineering and machine learning capabilities for real-time decision-making.
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