Jobs in United States

Data Analytics Engineer in United States

2,501 active opportunities · Updated October 2026

Explore current data analytics engineer jobs across United States. Filter by work mode, employment type, experience, department, date posted and distance.

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📍 Austin, Texas, United States· Full-time
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1671 About the Role We are seeking a Senior Signal Integrity Engineer to develop, validate, and optimize high-speed signaling solutions across blade- and rack-level architectures for advanced compute platforms. This role sits at the intersection of silicon, package, interconnect, board, and system design , with a strong emphasis on hands-on measurement, simulation correlation, and cross-functional technical communication. Key Responsibilities End-to-end signal integrity analysis for blade- and rack-level system architectures. Analyze and optimize high-speed and low-speed I/O interfaces, including PCIe Gen4/5/6, Ethernet, DDR, SerDes, SPI , I2C, etc . and related interconnects. Perform time-domain and frequency-domain simulations using tools such as Ansys HFSS, Keysight ADS, Cadence Sigrity, CST, SPICE , or similar. Support hands-on lab validation using VNA, TDR, BERT, and high-speed oscilloscopes . Correlate simulation results with lab measurements to identify margin gaps, debug issues, and improve design methodology. Collaborate with silicon, package, board, connector, cable, and system design teams to optimize I/O channel performance. Work with interconnect vendors and ODMs to guide board layout, stack-ups, routing rules, and system design decisions. Review schematics, layouts, simulation results, and validation data for blade, backplane, and rack-level hardware. Prepare and communicate clear validation reports, measurement summaries, debug findings, and technical recommendations to internal teams, vendors, and senior technical stakeholders. Required Qualifications Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, or a related field . Strong experience in signal integrity for high-speed digital systems. Hands-on measurement expertise using VNAs, TDRs, BERTs, and high-speed oscilloscopes . Experience measuring and analyzing S-parameters, impedance profiles, eye diagrams, jitter, timing margins, insertion loss, return loss, and cro

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📍 San Francisco, California, United States· Full-time
✓ High-confidence listingCompany trend -82%
Quick readStrong listing-quality and freshness signals

About the Team OpenAI’s Hardware organization develops silicon and system-level solutions designed for the unique demands of advanced AI workloads. The team is responsible for building the next generation of AI-native silicon while working closely with software and research partners to co-design hardware tightly integrated with AI models. In addition to delivering production-grade silicon for OpenAI’s supercomputing infrastructure, the team also creates custom design tools and methodologies that accelerate innovation and enable hardware optimized specifically for AI. About the Role We are looking for an experienced Mechanical Engineer with 7+ years of experience in design of IT hardware from chip/package to system levels. You’ll work alongside experts in thermal, mechanical, electrical, software, and systems engineering to support the design, analysis, and validation of mechanical and thermal systems that ensure the reliability, efficiency, and longevity of mission-critical hardware. This position requires strong analytical skills, hands-on testing experience, and the ability to work in a fast-paced, cross-disciplinary environment. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Lead mechanical design for AI supercomputer product in the data center application Collaborate with the cross functional team to design and optimize thermal solutions for data center hardware, including chips, power modules, and system-level cooling architectures Collaborate with cross-functional teams to integrate thermal management strategies into hardware design, from concept to mass production Design and validate mechanical systems, including chassis, enclosures, cooling systems, and high-power connections, ensuring alignment with performance and reliability standards. Perform 3D modeling, FEA, tolerance analysis, and prototyping, ensuring manufacturability and a

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📍 San Francisco, California, United States· Full-time· Remote
✓ High-confidence listingCompany trend -80.4%
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ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE We're hiring a Product Data Scientist to establish how product decisions at Baseten are made with data. You'll work directly with Product and Engineering, alongside GTM to determine measurement, strategy, experimentation and implementation. This is a foundational, hands-on role. You'll define what success looks like across a technical, usage-based platform and turn ambiguous questions into analyses, forecasts, and experiments that shape product strategy. You'll work from clickstream and product events through inference telemetry and observability data, helping Baseten make faster decisions about reliability, performance, adoption and developer experience. RESPONSIBILITIES Partner directly with Product and Engineering: frame the questions that matter, define success criteria, and turn analysis into roadmap, launch, and prioritization decisions. Define how product success is measured: establish metrics across activation, adoption, retention, expansion, reliability and user experience. Support experimentation and launches: design measurement plans, analyze A/B experiments and controlled rollouts, and translate results into product decisions. Diagnose reliability and scaling behavior: join customer signals with request, replica, deployment, and cluster telemetry to find patterns in release bottlenecks, unhealthy replicas, and models without traffic. Define the enterprise customer journey and measure feature adoption

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📍 Bellevue, Washington, United States· Full-time
✓ High-confidence listingCompany trend -92.9%
Quick readStrong listing-quality and freshness signals

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Snowflake runs large scale cloud infrastructure to deliver its own service — production and internal deployments, Kubernetes fleets, CI/CD, etc. Our cloud spend is in billions of dollars per year. The Cloud Efficiency team builds a unified, self-serve cloud efficiency platform along with AI skills and agents that makes spend observable, attributable, governable while driving recommendations and optimization of our cloud spend. AS A SOFTWARE ENGINEER AT SNOWFLAKE YOU WILL: Design, develop, and maintain scalable platform for resource ownership registry, usage attribution, utilization measurement, and cost modeling. Build AI agents, tools and automation to enhance system monitoring, alerting, and root cause analysis. Improve and optimize data ingestion, storage, and query efficiency for cloud utilization, cost and efficiency data at scale. Collaborate with teams across Snowflake to understand attribution and observability needs and implement solutions that improve operational visibility. Contribute to open-source and industry best practices in monitoring and distributed systems monitoring. Ensure high availability, reliability, and performance of team-managed platforms by participating in on-call rotations and incident management. Partner with Finance, Product and Engineering

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📍 San Francisco, California, United States· Full-time· Remote
✓ High-confidence listingCompany trend -82%
Quick readStrong listing-quality and freshness signals

About the Team: OpenAI’s Hardware organization develops AI-native silicon and system-level solutions for the unique demands of advanced AI workloads. Building on efforts like Jalapeño, the team is developing future generations of AI-native silicon and tightly integrated systems to power the next generation of frontier models. By co-designing chips, systems, tools, and methodologies, the team helps deliver faster, more efficient, and production-ready hardware for OpenAI’s supercomputing platform. In this role you will: As a Hardware Test Engineer, you will work on Machine Learning/AI hardware system projects to craft the solutions for current and future data center deployments. You will bring a strong understanding of hardware system testing, excellent project management skills, and the ability to collaborate across multiple teams to ensure efficient lab operations. You will be responsible for designing, implementing, and executing comprehensive test plans that ensure the reliability, performance, and scalability of our supercomputing hardware systems. You will develop detailed test plans and methodologies tailored to hardware components, including processors, memory modules, custom accelerators and interconnects. You will collaborate with hardware design, manufacturing, firmware teams and vendors to identify, analyze, and resolve issues affecting hardware, power, thermal and high-speed interconnects. You will perform in-depth debugging on the hardware system Excellent analytical skills to diagnose hardware issues, troubleshoot problems, and propose solutions. Ability to interpret complex test data, identify trends, and draw meaningful conclusions. High-speed links, with a focus on SerDes (Serializer/Deserializer) technology to assess signal integrity, error rates, and overall link performance. You will collaborate with the lab manager to maintain the equipment and hardware systems, including oscilloscopes, thermal test chambers, liquid cooling systems, and other mea

PythonAWSRestMachine Learning
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📍 Ny Nyc Metro, United States· Remote
✓ Quality checkedCompany trend +310%

Become a part of our caring community The Senior Full Stack Engineer Performs software engineering activities in all layers of the stack, from setting up the database to programming in the back-end and the appearance at the front-end. The Senior Full Stack Engineer work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. As Centerwell builds its AI engineering function from the ground up, we need a platform foundation strong enough to support everything that comes next. As Lead Full-Stack Engineer focused on platform and API engineering, you will design and build the service layer that connects AI capabilities, data systems, and product frontends—setting the standards for how services are built, secured, and operated across the team. You will work with meaningful architectural scope, making decisions that span API design, security patterns, and deployment practices. The platform you build will serve care teams and patients across hundreds of Centerwell clinics. If you want to build platforms that others build on—and do it in service of better primary care—this is the role for you. Key Responsibilities Platform and API Architecture: ** Design and lead development of core backend services, REST and GraphQL APIs, and service-to-service integrations that connect all layers of Centerwell's AI product stack. Security and Compliance by Design: ** Establish patterns for authentication, authorization, rate limiting, PHI access control, and audit logging. Ensure HIPAA compliance is embedded in platform design from day one—not bolted on after the fact. AI and LLM Integration Patterns: ** Define and implement reusable patterns for integrating AI capabilities into product

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📍 San Francisco, California, United States· Full-time
✓ Quality checkedCompany trend -80.6%

About Sentry Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. About the Role At Sentry, Support is an engineering discipline. Our customers are the greatest technical minds in the world—developers at elite enterprises building the future of software—and they deserve answers that go deeper than a knowledge base link. We're looking for an APAC Technical Support Engineer based in San Francisco to join our global Support Engineering team. This role is designed to provide APAC coverage to our users; with the shift being Sunday through Thursday 4PM-12AM PST. We are architecting the Technical Support engine . We’re looking for an experienced engineer to help us redefine the standard of technical support by combining deep human expertise with autonomous agentic systems. You are a debugger of both code and systems. You will treat support volume as a data signal to build automated resolution paths, ensuring our human engineers only touch the most complex, high-impact architectural puzzles. Sentry Support Engineers aren't just clearing queues; they are Orchestrators . You will engage with our users across GitHub, Discord, and our internal systems, while acting as the Technical Lead for our Agentic Ops. You ensure that when a developer asks a complex question, our systems have the right context and a seamless "Human-in-the-Loop" path to you when deep, nuanced expertise is required. In this role you will Master the Sentry Ecosystem & Support Elite Developers Deep-Dive Debugging: Perform root-cause analysis on complex issues and distributed tracing gaps across polyglot environments. Support the Great Minds: Act as a strategic consultant for senior engineers at our largest enterprise customers, s

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📍 New York City, NY, United States· Full-time
✓ High-confidence listingCompany trend -99.2%

From $10K/yr

Quick readStrong listing-quality and freshness signals

About Ramp Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $200B in annualized spend flows in and out of 70,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. About the Role The Product Security team helps make Ramp the most secure place for our customers to collect, manage, and put to work their business’ financial information. Our work centers in three areas: Ramp builds products with an eye for security Ramp detects and responds to threats before they cause harm Security powers Ramp’s growth Check out our Engineering Blog for more on our tech stack, mission and values! What You’ll Do Build security-focused application primitives and integrate them into our existing products Design and deploy platform-level mitigations to common security issues Lead remediation of prioritized issues across our technology stack: collaborating with other engineers to triage and fix vulnerabilities discovered internally, through penetration testing, and through our bug bounty program Partner with engineering teams to design and deploy solutions which are inherently secure Champion the use of tooling (linters, static analysis, posture assessment scanners, query inspectors, etc.) which help Ramp engineers build secure system

PythonAWSRestAI
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📍 United States· Full-time
✓ High-confidence listingCompany trend -93.7%

From $101K/yr

Quick readStrong listing-quality and freshness signals

We are seeking a Salesforce Engineer III to design, build, and support secure, scalable Salesforce solutions that support critical business operations. This is a senior individual contributor role requiring strong hands-on technical expertise, sound engineering judgment, and experience working in regulated environments. This position supports systems and data subject to FedRAMP and other U.S. government compliance requirements. Due to the nature of the work, U.S. citizenship is required. This role will be based remotely in the United States. What You’ll Do Design, build, and maintain Salesforce solutions across sales, service, customer, and operational workflows Implement functionality using Salesforce configuration, Flows, Apex, Lightning Web Components (LWC), SOQL, and platform automation Develop and support integrations between Salesforce and external enterprise systems Translate business requirements into secure, scalable, and maintainable technical solutions Participate in technical design reviews, sprint planning, code reviews, testing, deployments, and production support Troubleshoot and resolve issues related to automation, integrations, data integrity, and system performance Create and maintain technical documentation, support UAT and regression testing, and assist with user enablement Ensure all solutions comply with Salesforce best practices, internal security standards, and regulatory requirements Leverage AI-powered development tools to improve productivity and analysis, while adhering to security and compliance guidelines Responsibilities Technical Delivery: Own end-to-end delivery of Salesforce features using a mix of declarative and programmatic solutions Secure Engineering: Design and implement solutions that meet FedRAMP, security, and compliance requirements, including least-privilege access and auditability Integration Design: Build and maintain secure integrations between Salesforce and downstream systems Engineering Excellence: Maintain high st

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📍 San Francisco, California, United States· Full-time
✓ Quality checkedCompany trend -82%

About the Team OpenAI for Financial Services is part of OpenAI's Verticals organization, which focuses on accelerating the economy and knowledge work. We build AI products for financial institutions and the professionals who power them, from investment bankers and research analysts to investors and other financial services teams. We combine OpenAI's models, financial data, and enterprise knowledge to help professionals research companies, analyze markets, and produce high-quality work in the tools they use every day. We're a small, entrepreneurial team working closely with customers and partners across research, product, design, engineering, and go-to-market to bring new capabilities from idea to production. About the Role We're looking for full-stack engineers to build new, AI-native products on top of ChatGPT Work and Codex. This is zero-to-one work: you'll help define how financial professionals research, analyze, and make decisions alongside AI. You'll own the experience across the stack, work directly with customers to understand their workflows, and collaborate across OpenAI to turn new model capabilities into products that professionals can trust. Your work will shape how some of the world's largest financial institutions adopt AI and how financial knowledge work gets done. In this role, you will: Build a new financial services app within ChatGPT Work and Codex, creating intuitive AI-native experiences for company research, financial analysis, document review, and professional work products. Develop new product experiences around enterprise memory that learn from an organization's knowledge, workflows, and context, and adapt to how its teams work. Develop the APIs, services, and integrations required to connect user experiences with financial data providers, enterprise systems, and OpenAI's models. Work closely with product and design to turn ambiguous customer problems into polished, useful, and reliable products. Work directly with financial institutions to

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📍 Oregon, Hillsboro, United States
✓ High-confidence listingCompany trend +315.4%
Quick readStrong listing-quality and freshness signals

Job Details: Job Description: The Intel Logic Technology development (LTD) organizations delivers process technology innovation to drive Intel's product roadmap. We give you opportunities to transform technology and create a better future by delivering products that touch the lives of every person on earth. As a global leader in innovation and new technology, we foster a collaborative, supportive, and exciting environment where the brightest minds in the world come together to achieve exceptional results. We provide benefits that promote a healthy, enjoyable life: excellent medical plans, wellness programs, and amenities, time off, recreational activities, discounts on various products and services, and many more creative perks that make Intel a Great Place to Work. As a Process Integration Development Engineer, you will play a pivotal role in advancing Intel's semiconductor process technologies within the Logic Technology Development (LTD) group. Your day-to-day involves designing, optimizing, and implementing integrated process solutions that drive Intel's next-generation technology. By leveraging your expertise in process integration, yield analysis, and data-driven problem solving, you will contribute directly to the seamless transition of emerging technologies from development to high-volume manufacturing, ensuring Intel remains at the forefront of semiconductor innovation. Job Responsibilities include but are not limited to: ​ LTD Semiconductor Senior Process Integration Development Engineers are responsible for leading scientific research enabling the manufacture of innovative device architectures but not limited to: Lead scientific research enabling the manufacture of innovative device architectures coupled with the realization of these architectures. <li

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📍 Boise, ID - Main Site, United States
✓ High-confidence listingCompany trend +1266.7%
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Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Department Intro: The Advanced Packaging Technology Development (APTD) department at Micron Technology is shaping the future of memory and storage technology through advanced packaging innovation. Our team develops the processes, automation, and manufacturing capabilities that enable next-generation semiconductor products. Working closely with global R&D and manufacturing partners, we turn new ideas into scalable solutions that help maintain Micron’s leadership in the industry. Position Overview: As a Process Engineer, you will play a key role in improving the quality, reliability, and manufacturability of future memory products. This position combines hands-on problem solving, process optimization, and cross-functional collaboration in a fast-paced development environment. You will help drive technical advancements, influence technology roadmaps, and contribute directly to the success of next-generation semiconductor solutions. Responsibilities: Optimize automation, equipment, and process performance to improve product quality, reliability, and cost Develop and enhance host, automation, and data systems to accelerate learning and decision-making Perform root cause analysis and failure investigations using methodologies such as FMEA, 8D, SPC, and FDC Partner with equipment, process development, and process integration teams to develop and implement new solutions Support pilot line operations and technology transfer to high-volume ma

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📍 Boise, ID - Main Site, United States
✓ High-confidence listingCompany trend +1266.7%
Quick readStrong listing-quality and freshness signals

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Micron has an opening for a Photolithography Engineer (Level 2 or 3) at our Boise, Idaho facility. This position is part of Micron’s Technology Development organization, where advanced ideas become manufacturable technologies. Our team works at the leading edge of memory innovation, partnering across design, integration, manufacturing, and equipment suppliers to enable the next generation of semiconductor devices. This is where curiosity, experimentation, and impact come together. As a Photolithography Engineer, you will play a key role in developing and integrating lithography processes that directly shape future memory technologies. You will work hands-on with tools, materials, layouts, and data, while leveraging Artificial Intelligence and other software, collaborating with global partners to move innovations from R&D into high-volume manufacturing. This role offers broad technical exposure and the opportunity to influence device performance, yield, and cost at scale. Responsibilities: Develop and integrate photolithography unit processes for advanced memory technologies Perform material evaluations, reticle, and layout development, OPC, overlay optimization, and process window analysis Drive yield improvement, failure analysis, and device performance optimization Partner with equipment vendors to evaluate tools and improve process capability Document processes, communicate results, and support technology transfer to manufacturing Leverage Artifi

Artificial IntelligenceAIRecruitment
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📍 Berkeley, United States
✓ High-confidence listingCompany trend +515.8%
Quick readStrong listing-quality and freshness signals

Associate Loads and Dynamics Engineer Company: The Boeing Company The Boeing Defense, Space & Security (BDS) organization is seeking an Associate Loads and Dynamics Engineer to support fixed-wing aircraft programs located in Berkeley, Missouri . As an Associate Loads & Dynamics Engineer, you will support loads and dynamics assessments for various aircraft programs within the Air Dominance division. This position requires strong analytical problem solving skills and familiarity with one or more of the following: external loads, structural dynamics, aeroelastic stability, aerodynamics, aircraft stability and control, and finite element modeling. The ability to effectively coordinate with teammates, internal suppliers, and customers is also required. Position Responsibilities Assist in developing air vehicle requirements Create vehicle-level models for loads and dynamics analysis Perform loads and dynamics analysis to support air vehicle design (e.g. flight and ground simulations for loads, flutter/divergence analysis, noise & vibration assessments) Assist in developing flight and ground test requirements and plans Support ground and flight testing by performing pre-test analysis, real-time monitoring of test conditions, post-processing of test data, and documentation of test results Support airworthiness activities with regulatory agencies and internal/external customers via correspondence, presentations, and documentation Assist in developing vehicle flight envelope and operational limits Basic Qualifications (Required Skills and Experience): Bachelor of Science degree in

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📍 United States· Remote
✓ High-confidence listingCompany trend +310%
Quick readStrong listing-quality and freshness signals

Become a part of our caring community The Associate VP, Quality Engineering carries out procedures to ensure that all information systems products and services meet organization standards and end-user requirements. The Associate VP, Quality Engineering requires a in-depth understanding of how organization capabilities interrelate across segments and/or enterprise-wide. The Associate VP, Quality Engineering performs and leads tests of software to ensure proper operation and freedom from defects. May create test data for applications. Documents and works to resolve all complex problems. Reports progress on problem resolution to management. Devises improvements to current procedures and develops models of possible future configurations. Acts as information resource about assigned areas to technical writers. Performs complex work flow analysis and recommends quality improvements. Decisions are typically related to intradepartmental coordination, development and implementation of strategic plans, and business outcomes, and develops and implements strategic plans for the scope of management that are aligned with the Segment or Business strategy. Use your skills to make an impact Required Qualifications Bachelor's degree in a technology field Extensive experience in the information technology field Demonstrated success in leading and developing a team of associates. Expertise in software testing methodologies Record of success in leading quality improvement initiatives Certified Software Test Engineer (CSTE) designation. Must be passionate about contributing to an organization focused on continuously improving consumer experiences Preferred Qualifications Master's degree in a technology field Additional Informa

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