Data Engineer for Enterprise AI & ERP Modernization

Location: San Jose, CA or New York CityRemote: Considered; travel requiredAbout Tessera Labs: Tessera Labs is at the forefront of transforming how enterprises implement and leverage Artificial Intelligence. Supported by Foundation Capital and driven by a top-tier founding team, we develop multi-agent AI systems that streamline complex business workflows across major platforms such as SAP, Salesforce, Workday, Snowflake, MuleSoft, and beyond.Our Mission: Our goal is to deliver genuine AI automation to enterprises with speed, precision, and measurable outcomes. We prioritize agility, take ownership, and innovate at the cutting edge of applied AI.Why This Role is Essential: This position empowers Forward Deployment Engineers (FDEs) to facilitate swift and secure AI-driven ERP modernization. You will play a vital role in enhancing migration speed, ensuring operational continuity, and enabling data-informed decision-making. Your work will lay the groundwork for enterprise-scale AI and analytical solutions in complex environments, positioning you at the forefront of enterprise AI and ERP transformation.Role Overview: As a Data Engineer, you will collaborate closely with Forward Deployment Engineers (FDEs) to drive rapid ERP modernization and AI transformation for our enterprise clients. Your primary focus will be on data harmonization, cross-system integration, and developing data pipelines, ensuring that AI solutions and enterprise workflows are supported by high-quality, reliable, and well-structured data.This role requires expertise in ETL processes, relational schema modeling, data mapping, data cleaning, and pipeline logic for structured/tabular data. A lightweight MLOps component may be involved, focusing on structured datasets and potentially requiring distributed processing with PySpark or ML data engineering techniques. Note that there are no downstream responsibilities concerning model training, serving, or deployment.Candidates should bring a deeper understanding of ERP-centric data compared to typical ML data engineering roles, along with robust generalist engineering skills to construct scalable, production-grade pipelines. Ideal candidates will have expertise in SAP data coupled with modern data engineering or machine learning enablement experience; strengths in one area with the willingness to learn the other are acceptable.Key Responsibilities:Data Harmonization: Integrate, reconcile, and standardize structured data across ERP, CRM, finance, and analytical systems.

At Extreme Networks, we serve over 50,000 customers worldwide with our cutting-edge, cloud-driven networking solutions. Our clients rely on our award-winning services and exceptional support to propel their digital transformation initiatives, achieving remarkable advancements in their operations. With consistent double-digit growth each year, we are uniquely positioned to deliver scalable results.We prioritize inclusion as one of our core values, fostering a workplace that embraces diversity and cultivates an environment where every employee can thrive. Join us and be part of a team that values your unique contributions!Take the opportunity to be a part of something monumental at Extreme! As a global leader in networking, now is the perfect time to join our innovative team.Position: AI Staff Machine Learning Engineer - Generative AI, Machine Learning, Graph ML, Big DataExperience: 5 to 14 YearsWork Arrangement: Hybrid/RemoteOur AI Core group is at the forefront of developing platforms and solutions centered around Generative AI, including AI Agents, Retrieval-Augmented Generation (RAG), Knowledge Bases, Data Mining, Anomaly Detection, and fine-tuning Large Language Models (LLM). These innovations drive our flagship Extreme products while paving the way for entirely new offerings. We are committed to transforming how businesses manage networks by creating intelligent, high-performance multi-agent systems that can perceive, learn, and act in real-time. At Extreme, innovation is not just welcomed; it is expected. Join us to help shape the future of network intelligence!

About the OpportunityJoin a leading global networking organization that is revolutionizing the way businesses manage their networks. Our AI Core group is pioneering innovative platforms in Generative AI, AI Agents, RAG, Knowledge Bases, Data Mining, Anomaly Detection, and LLM fine-tuning, all of which are integral to our flagship products and the creation of new offerings. Here, innovation is not just welcomed; it's a fundamental expectation.The RoleAs an AI ML Engineer, you will serve as a pivotal technical leader and thought leader, influencing our ML strategy and developing intelligent, high-performance multi-agent systems that can perceive, learn, and react in real time.Your ResponsibilitiesDefine and guide the technical vision for ML solutions across our products and platforms.Oversee the complete software development lifecycle, from design and code reviews to deployment and operational management.Design high-performance, scalable microservices, including both synchronous and asynchronous web services.Create real-time inference pipelines for complex models utilizing Triton, TensorRT, and mixed-precision computing.Mentor fellow engineers, establish technical direction, and cultivate a robust team culture.Promote engineering excellence, system resilience, and ongoing operational enhancements.

About EtchedEtched is at the forefront of innovation, developing specialized AI chips designed for unique model architectures. Our flagship product, Sohu, offers exceptional performance with significantly higher throughput and lower latency than traditional GPUs, making it ideal for advanced applications like real-time video generation and complex reasoning agents.Job OverviewAs Etched transitions from research and development to full-scale global manufacturing, the intricacies of our financial and operational systems are rapidly evolving. We are seeking a proactive Systems Engineer to take ownership of our financial systems' technical framework. Your role will begin with ERP systems and expand to encompass data infrastructures that link finance with manufacturing, logistics, and overall operations, playing a pivotal role in our growth.You will be the lead architect and developer for our ERP and financial data workflows, focusing on architecture, implementation, and long-term scalability. Initially, your efforts will center on ERP systems, with expectations to broaden your responsibilities into data engineering and infrastructure management over time.This is a hands-on role where you will fully own the systems, from design to implementation, ensuring they are robust and scalable.Key ResponsibilitiesManage Core Financial SystemsAct as the principal technical owner of Etched’s ERP and financial systems.Lead the architecture, implementation, and continued support of these systems.Serve as the primary project manager and developer for NetSuite projects.Develop Financial Data InfrastructureDesign and implement a comprehensive financial data lake or warehouse.Generate clean, organized datasets for financial analysis and forecasting.Maintain data integrity, traceability, and accuracy across all systems.Integrate Financial Systems with Hardware OperationsCreate integrations spanning manufacturing, supply chain, logistics, and reverse logistics.Accurately model real-world physical processes in software.Ensure financial data accurately reflects operational realities.Implement Comprehensive SolutionsOversee the entire process from design to execution.

Join Cinarra as an AI/ML Engineer and play a pivotal role in our AI team, focusing on model development and training. In this dynamic position, you'll actively engage in building, training, and enhancing machine learning models, while preparing and curating large datasets. Your contributions will significantly impact model accuracy, performance, and scalability. You will leverage modern machine learning techniques, including transformer-based and representation learning models, collaborating closely with engineers, data scientists, and product partners.Key ResponsibilitiesDesign, train, and assess machine learning and deep learning models.Prepare and preprocess substantial datasets for model training and inference.Implement and refine model architectures for effective data linking and representation learning.Work alongside engineering and product teams to seamlessly integrate models into production environments.Evaluate model performance and provide insightful recommendations for enhancements.

Veeam is recognized as the Data and AI Trust Company, dedicated to empowering organizations to gain a comprehensive understanding of their data and AI, ensuring they are secure and resilient to facilitate the safe scaling of AI technologies. As a frontrunner in data resilience and security posture management, Veeam is expertly positioned at the intersection of identity, data, security, and AI risk management. With its headquarters in Seattle and a presence in over 30 countries, Veeam safeguards the operations of more than 550,000 customers globally, who rely on us to keep their businesses thriving. Join us in our fearless journey forward, as we grow, learn, and make a significant impact for some of the most prominent brands in the world.About the RoleWe are seeking a talented Analytics Engineer to become a vital part of our internal Data Management team, enhancing data-driven decision-making throughout the organization. In this pivotal role, you will be responsible for designing and maintaining scalable data models, pipelines, and transformation processes that are essential for analytics, reporting, and data science initiatives. You will work in close collaboration with analysts, data scientists, and engineering teams to ensure the data is reliable, efficient, and structured to support valuable business insights and strategic objectives.What You’ll DoDesign scalable and dependable data marts and transformation processes to meet analytics and reporting requirements.Collaborate with data analysts, data scientists, and business stakeholders to comprehend data requirements and convert them into effective data solutions.Develop optimized data models and schemas that facilitate efficient storage, retrieval, and analysis of large datasets.Create ETL and ELT pipelines that transform raw data from diverse sources into structured datasets for analytics and reporting.Partner with data, architecture, and DevOps teams to ensure the scalability, performance, and reliability of data systems.Monitor data pipelines and systems to troubleshoot issues and identify areas for enhancement.Document data architectures, flows, and processes to promote transparency, collaboration, and maintainability.

As the Director of Compliance Data Science & AI at OKX, you will lead the integration of advanced data science and AI technologies into our compliance framework. Your expertise will drive innovative solutions that enhance compliance processes and ensure regulatory adherence.Key Responsibilities:Develop and implement data-driven compliance strategies leveraging AI insights.Collaborate with cross-functional teams to identify compliance risks and create effective mitigation strategies.Monitor the effectiveness of compliance programs and recommend improvements.Stay abreast of regulatory changes and ensure compliance practices align with industry standards.

Join FloQast as a Solutions Data Engineer and play a critical role in shaping our data-driven solutions. In this position, you will leverage your expertise in data engineering to design, develop, and implement solutions that enhance our operational efficiency and drive success for our clients.

Archer Aviation, located in San Jose, California, is pioneering the future of sustainable air mobility by developing an innovative all-electric vertical takeoff and landing aircraft. Our mission is to enhance air mobility while significantly reducing noise pollution. We are committed to advancing technology that will redefine air transportation.At Archer, we embrace challenges and strive for excellence through diversity and inclusion. We believe that a diverse workforce fosters innovation, insight, and ultimately leads to greater success. Our workplace is dedicated to creating an equitable environment that celebrates the unique contributions of all team members. Senior Enterprise Application Security Engineer (Hybrid-San Jose)Job OverviewWe are seeking an exceptional Senior Enterprise Application Security Engineer to architect and secure the cloud infrastructure driving the next wave of sustainable air mobility. The ideal candidate is a proactive collaborator with outstanding communication skills and a comprehensive understanding of cloud security. In this role, you will safeguard our cloud-native environments (AWS/Azure) and protect our telemetry, flight operations, and enterprise systems from advanced persistent threats. You will bridge DevOps and Security by embedding secure design principles into our Infrastructure as Code (IaC) and CI/CD pipelines, ensuring compliance with aviation and federal standards (NIST CSF, 800-53, FedRAMP, DO-326A).Key ResponsibilitiesCloud Architecture & Hardening: Design, implement, and maintain robust cloud architectures in AWS and Azure. Enforce zero-trust principles and least-privilege access utilizing advanced IAM policies and roles.Infrastructure as Code (IaC) Security: Lead the security review and automated scanning of IaC templates (Terraform, CloudFormation, Helm) to preemptively prevent misconfigurations.DevSecOps & Automation: Integrate security tools (CSPM, CWPP, Secret Scanning) into CI/CD pipelines (Jenkins, GitLab, GitHub Actions) to facilitate rapid and secure deployments.Kubernetes Security: Implement security controls for Kubernetes clusters, ensuring compliance with industry best practices.

Join OKX as a Principal AI Engineer specializing in AI Agent Development. In this pivotal role, you will spearhead the design and implementation of cutting-edge AI agents that drive automation and enhance user experience. Collaborating with cross-functional teams, you will leverage your expertise in artificial intelligence to innovate and propel our technology forward.

AppZen stands at the forefront of autonomous spend-to-pay software, leveraging patented artificial intelligence to meticulously process data from thousands of sources. Our innovative solutions empower organizations to gain comprehensive insights into enterprise spending, facilitating more informed business decisions. By integrating seamlessly with existing accounts payable, expense, and card workflows, AppZen transforms data into actionable insights, ensuring rapid processing and minimizing instances of fraud and unnecessary expenditures. Trusted by global enterprises, including one-third of the Fortune 500, our invoice, expense, and card transaction solutions replace manual finance processes, enhancing the speed and agility of businesses worldwide. Discover more at www.appzen.com.As an Integration Engineer at AppZen, you will play a pivotal role in designing, implementing, and maintaining integrations between our platform and client enterprise systems. This hands-on technical position demands a focus on delivering robust and scalable integration solutions. You will collaborate closely with customer technical teams, craft code, configure iPaaS platforms, troubleshoot production issues, and ensure seamless data flow across systems. If you thrive on solving intricate integration challenges and take pride in the direct impact of your work on customer success, this is the ideal role for you.

Job Title: AI Data Center Business Development ManagerOffice Location: San Jose, CAJob Type: Full-TimeWork Model: Onsite About SK hynix AmericaAt SK hynix America, we are at the forefront of semiconductor innovation, crafting advanced memory solutions that empower a wide range of technologies from smartphones to data centers. As a global leader in DRAM and NAND flash technologies, we are driving the evolution of mobile technology, enabling cloud computing, and pioneering future technologies. Our state-of-the-art memory solutions are integral to the most advanced electronic devices and IT infrastructure, enhancing performance and user experiences in the digital world.We seek imaginative minds to join our mission of shaping the future of technology. At SK hynix America, you will be part of a dedicated team that is pioneering groundbreaking memory solutions while prioritizing sustainability. We are not just adapting to technological shifts; we are leading them, with significant investments in artificial intelligence, machine learning, and eco-friendly operational practices. As we expand our market presence and push the boundaries of semiconductor technology, we invite you to embark on a journey to create the next generation of memory solutions that will define the future of computing.About This Role:This role is pivotal in leading the commercialization and monetization strategy for SK AI's Data Center Testbed, transforming our technical infrastructure into viable business models, including Testbed-as-a-Service (TBaaS) offerings. As a strategic member of the AI Infrastructure Solutions team, you will architect new business models leveraging our AI datacenter capabilities to generate revenue streams through partnership-based service offerings. A unique blend of strategic insight, financial expertise, and ecosystem development knowledge is essential to design innovative contribution models—spanning monetary investments, in-kind resources, and equity partnerships with technology solution providers. You will establish the organizational framework and RACI (Responsibility Assignment Matrix) across SK Group member companies while ensuring the seamless execution of commercialization initiatives. The ideal candidate will have a deep understanding of cloud service economics, GPU-as-a-Service (GPUaaS) business models, and experience structuring mutually beneficial partnership frameworks that drive sustainable ecosystem growth.

Join a thriving team at Extreme Networks, where over 50,000 customers worldwide rely on our innovative, cloud-driven networking solutions to elevate their digital transformation journey. Our commitment to providing top-tier services and support has positioned us as a leader in scalable networking solutions, experiencing double-digit growth year after year.At Extreme, inclusion is a fundamental value that shapes our workplace culture. We celebrate diversity and strive to create an environment where every employee flourishes because of their unique perspectives.Be part of a pioneering journey with Extreme! As a global networking leader, now is the perfect time to join our dynamic team.Position: Senior Machine Learning Engineer - Generative AI, Machine Learning, Graph ML, Big DataExperience: 5 to 14 YearsWork arrangement: Hybrid/RemoteOur AI Core group is revolutionizing platforms and solutions for Generative AI, which include AI Agents, Retrieval-Augmented Generation (RAG), Knowledge Bases, Data Mining, Anomaly Detection, and LLM fine-tuning. These advancements are integral to our flagship Extreme products and are paving the way for new offerings. Together, we are transforming how organizations manage networks through the development of intelligent, high-performance multi-agent systems that can perceive, learn, and respond in real-time. At Extreme, innovation is not just encouraged; it is an expectation. Join us in shaping the future of network intelligence.

Join FloQast as a Senior Staff Engineer, Data, and become an integral part of our technical leadership team. In this role, you will spearhead the design, implementation, and continuous enhancement of FloQast’s core data platform. You will set the standards for data ingestion, governance, storage, processing, and access that empower our product and analytics systems. Your contributions will establish a robust, scalable, and secure data foundation that enables our engineering, product, and business operations teams to thrive.Note: Visa sponsorship is not available at this time.

Role overview SoftwareMind is looking for a Senior Fullstack AI Engineer based in San Jose. This position centers on building advanced AI solutions, handling projects from initial concept through to deployment. The role blends hands-on software development with cross-team collaboration to create products that address client needs. What you will do Design and develop AI-driven applications, working across both front-end and back-end systems Collaborate with colleagues from various disciplines to deliver reliable, maintainable software Apply technical expertise throughout the product lifecycle, from concept through deployment

Company OverviewAt TENEX, an innovative leader in Managed Detection and Response (MDR) solutions, we harness the power of AI and automation to bolster cybersecurity defenses. Our mission is to empower organizations by enhancing their security posture with state-of-the-art threat detection, swift response capabilities, and ongoing protection. Our team consists of seasoned experts specializing in cybersecurity, automation, and AI solutions. With backing from prominent investors, we are on an exciting growth trajectory and are actively searching for exceptional talent to help us redefine the MDR landscape.As a Principal AI Engineer, you will play a pivotal role in designing, developing, and optimizing cutting-edge AI systems that are scalable and high-performing. Your expertise will be crucial in shaping the architecture of our AI-driven cybersecurity solutions, while you also provide mentorship to engineering teams and foster technical innovation.Culture is a cornerstone of TENEX—visit our culture deck at culture.tenex.ai to see how we embody collaboration and community through in-person engagement.Please note: This position requires being onsite Monday through Thursday at our San Jose, CA location, with the option for remote work on Fridays.

Join Sonsoft Inc. as a Big Data Engineer specializing in Hadoop and Spark. In this role, you will leverage your expertise in big data technologies to design, develop, and optimize data pipelines that support our innovative analytics solutions. You will work closely with cross-functional teams to transform raw data into actionable insights, driving key business decisions.

Join FloQast as a dynamic Engineering Manager to spearhead our AI transformation engineering team. This role offers a unique blend of technical leadership and people management, empowering you to foster both technical excellence and team development. In this position, you will engage in hands-on coding, architect innovative solutions, and mentor a skilled engineering team, driving growth and success.This position is based in our San Jose, CA office, requiring three days on-site each week (hybrid work model).

Join Our Team as a Data Engineer!Location: San Jose, CAContract Duration: 3+ months (with potential for extension)We are seeking a talented Data Engineer with extensive experience in Big Data technologies. The ideal candidate will have over 8 years of proficiency in Java, Python, and Scala, along with hands-on experience in Spark and Machine Learning. You will play a crucial role in data mining and analysis, transforming unstructured data into actionable insights.Key Responsibilities:Gather and process large-scale raw data through scripting, web scraping, API calls, and SQL queries.Collaborate with the engineering team to design and implement algorithms for data processing.Convert unstructured data into formats suitable for analysis and conduct thorough analyses.Support business decisions with ad hoc analyses as necessary.Extract and manipulate data from various relational databases using quantitative and visualization tools.Guide the selection of appropriate modeling techniques to develop robust predictive models.Establish processes for validating and updating predictive models regularly.Analyze healthcare service utilization patterns to model outcomes and scenarios for innovative healthcare delivery models.Work closely with internal teams to enhance the applicability of predictive models within core software products.Conduct statistical analyses to prioritize initiatives that maximize success.Identify opportunities for improvement and communicate actionable plans.Perform strategic data analyses to meet business objectives.Explore data to uncover opportunities for enhanced business performance.Develop a deep understanding of business processes and strategies to provide insightful analysis to management.

Company Overview:TENEX is a pioneering provider of Managed Detection and Response (MDR) solutions, driven by artificial intelligence and automation. We empower organizations to bolster their cybersecurity defenses through cutting-edge threat detection and swift response capabilities. Our team comprises seasoned professionals with extensive backgrounds in cybersecurity, automation, and AI technologies. Supported by prominent investors, we are on a rapid growth trajectory and are looking for exceptional talent to join us in transforming the MDR landscape.As the Director of AI/ML Software Engineering, you will serve as a key technical leader, responsible for shaping our technical vision and managing multiple engineering teams. You will drive the development of scalable, high-performance AI systems that underpin our advanced cybersecurity solutions. Your role will be critical in defining the architecture and ensuring our product strategy aligns seamlessly with our technical objectives.Collaboration with product and design teams will be essential, as you will make pivotal technical decisions and steer the evolution of our platform. This is a remarkable opportunity to tackle complex engineering challenges in security, AI, and distributed systems, all while advancing your career in a leadership capacity as our company expands.Location: This position requires onsite work from Monday to Thursday at our San Jose, CA, Sarasota, FL, or Kansas City, MO office, with remote work available on Fridays.