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The lead will design, build, and operate the bank's new data warehouse on Microsoft Fabric, managing ingestion pipelines and the semantic layer. They will also ensure data trustworthiness through robust security, governance, and AI-enabled reporting in a regulated environment.
Design, develop, and maintain scalable data pipelines and ETL workflows using Python and SQL within an AWS cloud environment. Collaborate with cross-functional teams to translate business requirements into secure, high-quality data solutions while adhering to Agile delivery processes.
The Senior Cloud Infrastructure Engineer will own the design, resilience, and day-to-day health of infrastructure across AWS and hybrid environments. Responsibilities include managing disaster recovery, security compliance, CI/CD pipelines, and supporting cloud migration efforts.
You will design and develop large-scale, cloud-native, multi-tenant data services and pipelines to support healthcare provider data management. The role involves full ownership of the software development lifecycle, including planning, coding, testing, and performance optimization.
The Product Manager will own product areas within AI Finance, defining user problems, roadmaps, and success metrics. They will collaborate with engineering, design, and operations teams to launch features and drive continuous product improvements.
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You will own product areas within AI Finance, defining user problems, roadmaps, and success metrics while collaborating with engineering and design teams. You are responsible for launching features, monitoring performance, and driving iterative improvements based on data and user feedback.
You will own product areas within AI Finance, defining user problems, roadmaps, and launch plans while collaborating with engineering and design teams. You are responsible for turning complex financial products into simple customer journeys and driving continuous product improvements based on data and feedback.
The Product Manager will own product areas within AI Finance, defining user problems, roadmaps, and success metrics. They will collaborate with engineering, design, and operations teams to launch features and drive continuous product improvements.
You will own product areas within AI Finance, defining user problems, roadmaps, and success metrics while collaborating with engineering and design teams. You are responsible for launching features, monitoring performance, and driving iterative improvements based on data and user feedback.
You will build and maintain backend systems, APIs, and data pipelines that connect user behavior to real-time learning AI. Additionally, you will champion engineering practices like AI-assisted coding and take ownership of production systems by managing logs, traces, and testing.
You will define and build the security architecture for AI systems and the surrounding cloud platform, ensuring secure defaults and robust controls. This role involves hands-on engineering, adversarial testing, and embedding security practices directly into the development lifecycle.
You will design and implement infrastructure solutions, including storage systems, file servers, and middleware for high-profile clients. The role involves collaborating with sales and presales teams to deliver large-scale projects for universities and major corporations.
You will build and extend Server Driven UI components and contribute to streaming APIs to deliver real-time chat experiences. Additionally, you will write production-grade code, instrument platform reliability, and participate in on-call rotations.
The IT Systems Administrator ensures the stability, security, and efficiency of IT infrastructure supporting healthcare revenue cycle operations. Responsibilities include installing and configuring systems, monitoring performance, applying security protocols, and providing technical support to end-users.
The Salesforce Architect will own end-to-end solution architecture for Agentforce and Revenue Cloud, designing complex agentic workflows and integration patterns. They will also lead architecture reviews, provide technical governance, and mentor development teams to ensure high-quality delivery.
The Field Engineer will manage and execute commissioning activities for modular data centers, ensuring all electrical and mechanical systems meet performance and reliability standards. This role involves troubleshooting onsite issues, coordinating with project stakeholders, and ensuring compliance with health, safety, and environmental requirements.
The Field Service Engineer is responsible for the installation, maintenance, and repair of security and detection systems at customer sites. They will diagnose performance issues, provide technical support, and collaborate with internal teams to ensure customer satisfaction.
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The Field Service Engineer is responsible for the installation, maintenance, and repair of security and detection systems at customer sites. They must diagnose performance issues, provide technical support, and ensure customer satisfaction through proactive maintenance and training.
The Senior BESS Project Engineer will lead complex battery energy storage system projects from design through commissioning while serving as a technical resource for the team. Responsibilities include reviewing system designs, overseeing controls programming, and coordinating utility-required testing to ensure project functionality.
You will design and support ETL workflows to extract, transform, and load legacy healthcare data into athenahealth systems. The role involves collaborating with cross-functional teams to ensure data accuracy, consistency, and compliance with interoperability standards.
The Manager of Strategic Analytics is responsible for identifying, scoping, and leading internal data analysis projects to guide strategic decision-making. They will also manage junior analysts, develop data quality metrics, and report strategic insights to company leadership.
The manager leads a team responsible for delivering operational reporting, dashboards, and analytics to provide visibility into Customer Success performance. They partner with leadership to translate business needs into actionable insights and ensure the accuracy and efficiency of reporting frameworks.
The AI Operations Engineer will build and operate large-scale data systems to support AI training and evaluation pipelines. Responsibilities include managing data ingestion, transformation, quality assurance, and high-throughput delivery for training jobs.
You will collaborate with cross-functional teams to develop, test, and deploy high-quality features across the Angular frontend and Python backend. Additionally, you will participate in code reviews, task planning, and incident response efforts to maintain software quality.
You will take end-to-end ownership of features, from architecture and design to deployment and support. You will also collaborate with cross-functional teams to build high-quality software while driving task planning and code reviews.
You will lead technical direction and mentor team members across both the Angular frontend and Python backend. Additionally, you will take ownership of complex features and architectural decisions while fostering a culture of collaboration and quality.
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Develop and execute comprehensive strategies for RIS data migration while collaborating with stakeholders to gather requirements. Perform data extraction, cleaning, and validation to ensure successful system go-live and provide ongoing support.
You will lead the technical strategy for customer accounts, designing scalable, production-grade solutions spanning data engineering, ML/AI, and real-time analytics. Additionally, you will serve as a trusted advisor to customer technical leads and drive platform adoption through deep technical expertise.
You will drive technical and consumption strategy for complex customer engagements while serving as a trusted advisor on enterprise data and AI strategy. You will also orchestrate cross-functional teams to deliver enterprise-grade solutions and mentor junior solutions architects.
The Business Analyst will gather and document requirements while partnering with stakeholders to drive process improvements and technology-enabled solutions. They are responsible for analyzing business performance data, identifying operational bottlenecks, and ensuring project deliverables align with organizational goals.
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