Data Engineer Jobs

About Graphcore Graphcore is a global leader in artificial intelligence computing systems. We design advanced semiconductors and data center hardware that deliver the specialized processing power needed to advance AI while improving the efficiency required for broad adoption. As part of SoftBank Group, Graphcore belongs to a family of companies developing some of the world’s most transformative technologies. Our new AI Engineering Campus in Austin will play a central role in building the future of AI computing. The Opportunity As a Mechanical Engineering Intern, you will contribute to the mechanical design and thermal validation of advanced AI hardware. Working alongside experienced mechanical and thermal engineers, you will gain hands-on experience with 3D computer-aided design (CAD), laboratory setup, test development, prototype evaluation, and engineering documentation. Type: 12-week summer internship Timing: May - August (exact dates to be confirmed) Commitment: Full-time What You’ll Do Contribute to mechanical design activities using Creo or comparable 3D CAD software, including part modeling, assemblies, drawings, and design updates under the guidance of experienced engineers. Work with the thermal engineering team to develop test procedures and help set up laboratory capabilities for evaluating AI hardware. Support thermal and mechanical testing using appropriate laboratory equipment; collect, organize, and analyze test data. Assist the mechanical and thermal design teams with prototype evaluation, troubleshooting, design verification, and documentation of findings. Collaborate with cross-functional engineering partners, communicate progress and issues clearly, and follow applicable laboratory and safety procedures. What You’ll Bring Current enrollment in a bachelor's, master's, or doctoral program in mechanical engineering or a related discipline during the internship. Students in other disciplines with relevant mechanical engineering exper

Strength in Trust OneTrust’s mission is to enable innovation through the responsible use of data and AI. We believe that ensuring data is trusted shouldn’t slow teams down—it should accelerate what’s possible. This led us to develop the first technology platform for responsible data use in 2016. Today, with AI representing the latest and most impactful expansion of data yet, OneTrust is once again redefining what responsible innovation looks like. OneTrust, the AI‑Ready Governance Platform™, unifies regulatory intelligence, automation, and connected governance workflows so businesses can continue to move at the speed of AI while ensuring good governance to prevent data misuse at scale. Trusted by thousands of organizations worldwide, OneTrust is shaping the future where trusted data becomes a transformative force for business and society. The Challenge We're looking for a Staff Software Engineer with a passion for solving problems to join our agile Product Engineering team at OneTrust. Senior Software Engineers own the delivery of complex features end-to-end and are a go-to technical resource for their immediate team. Your Mission Execution & Delivery Independently own delivery of complex features or components from design through production, requiring evaluation of multiple interacting factors. Drive system architecture and component-design discussions for your area of ownership. Collaboration & Influence Partner closely with Product, UX, and other engineers to shape solutions during planning, not just execution. Network with senior engineers across the org to align on shared technical decisions. Stays curious and has the ability to ideate, innovate & improve by identifying patterns that can bring quality and velocity improvements Quality & Craft Conduct peer code reviews and help set the quality bar for your team. Champion testing practices, including explorat

Strength in Trust OneTrust’s mission is to enable innovation through the responsible use of data and AI. We believe that ensuring data is trusted shouldn’t slow teams down—it should accelerate what’s possible. This led us to develop the first technology platform for responsible data use in 2016. Today, with AI representing the latest and most impactful expansion of data yet, OneTrust is once again redefining what responsible innovation looks like. OneTrust, the AI‑Ready Governance Platform™, unifies regulatory intelligence, automation, and connected governance workflows so businesses can continue to move at the speed of AI while ensuring good governance to prevent data misuse at scale. Trusted by thousands of organizations worldwide, OneTrust is shaping the future where trusted data becomes a transformative force for business and society. The Challenge We're looking for a Staff Software Engineer to help lead technical direction in support of D eveloper E xperience at OneTrust. Staff Engineers determine their own approach on complex, often ambiguous assignments, and their technical judgment is trusted well beyond their immediate team. Your Mission Technical Leadership & Architecture Lead design and architecture for major features or components, ensuring alignment with the broader system architecture. Independ ently d etermine approach and methods on complex, ambiguous assignments without an established playbook. Cross-Team Collaboration Partner with other engineering teams, and architecture to shape solutions before implementation begins. Build working relationships and technical credibility beyond your immediate team. Quality & Standards Establish and champion engineering best practices adopted by your team and beyond. Maintain a strong focus on customer outcomes Mentorship Mentor Senior and mid-level engineers, helping them grow their techni

This is Adyen Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster. The Opportunity Adyen is building a top-tier AI engineering organization in Amsterdam, San Francisco and Madrid to drive our next chapter of innovation using AI globally across the entire company. This is a highly technical, hands-on role focused on the exploration and application of cutting-edge AI research within the financial technology sector. As a Senior AI Research Engineer, you will operate with a high degree of autonomy and responsibility , delivering strategic, high-impact outcomes that bridge the gap between advanced AI research and production-grade applications at a global scale, potentially impacting trillions of dollars in transactions annually. What You'll Do: Innovate and Deploy: Drive the execution of Adyen's AI strategy , focusing on the practical application of Generative AI (GenAI) and other AI methodologies in finance . This includes contributing to Adyen's efforts in key research areas such as AI agents for data analysis and operational workflows , human-in-the-loop for integrity risk , and development of foundation models . For instance, you might contribute to initiatives like the Data Agent Benchmark for Multi-step Reasoning (DABStep) , which evaluates AI agents on real-world data analysis tasks, including those from the financial sector. Build Production-grade Applications: Bridge the gap between cutti

At Scale, our mission is to develop reliable AI systems for the world's most important decisions. For 10 years, Scale has provided the high-quality data and full-stack technologies that power the world's leading models, and has helped enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. Public Sector engineers build the core product including the systems required to ingest and process federal datasets that support real-time decision-making in contested environments. As a New Grad Software Engineer on this team, you will own meaningful, mission-facing work from day one: shipping features, sitting with the government stakeholders who use them, and iterating fast. Example Projects Build multi-layered guardrails that keep agents safe and predictable in high-stakes federal environments Optimize data retrieval for agents, including RAG pipelines over large, heterogeneous federal datasets Build orchestration for fleets of asynchronous agents running long-horizon tasks Develop systems that automatically alert users to deviations and anomalies in incoming data Create interfaces that illustrate how an agent reached a decision, so operators can audit and trust its output Develop data pipelines and ML infrastructure that make previously siloed government data sources accessible to agents Build evaluation infrastructure that measures model reliability against mission requirements Ship full-stack tooling that lets analysts query, visualize, and explore mission data Deploy and harden applications into secure, air-gapped, and cloud-native government environments Requirements A graduation date in Fall 2026 or Spring 2027 with a Bachelor's degree (or equivalent) in a relevant field (Computer Science, EECS, Computer Engineering, Statistics) Product engineering expe

Here's a summary of the role: You're a hands-on engineer who enjoys solving complex data challenges at scale. You'll join the Data Hub team, building the shared data platform that supports reporting, analytics, AI, and Data Science initiatives across Diligent. Working with Python, SQL, AWS, and cloud-native technologies, you'll help process, organize, and enrich large volumes of data while developing scalable services and modern data solutions. You'll collaborate closely with Product Managers, Engineering Managers, and fellow engineers to deliver high-quality features, improve platform capabilities, and shape the future of our data ecosystem. If you enjoy ownership, solving challenging problems, experimenting with new technologies, and working in a collaborative environment, you'll fit right in. Here's a breakdown of what you'll do (not all of it, just the important stuff): Design, develop, review, and test features and user stories following Agile development practices Contribute to core platform development and integration projects across multiple systems Participate in shaping the future architecture of the product , including designing scalable backend services and prototypes Collaborate with Product Owners and Engineering Managers to analyze, refine, and document technical requirements Build and maintain cloud-native solutions and microservices-based applications Leverage AI-assisted development tools , code assistants, and modern engineering workflows to improve delivery efficiency Support the creation and maintenance of high-quality operational and technical documentation Continuously identify opportunities to improve engineering processes, quality, and team effectiveness These are the essentials you'll need to get an interview: 2+ years of experience in a hands-on software development role within a commercial software environment Strong programming experi

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. Responsibilities include, but not limited to: ​ Key Responsibilities Develop systems to optimize operational performance across manufacturing platforms. Design, build, and deploy predictive models related to equipment utilization and performance enhancement. Analyze manufacturing data to identify bottlenecks and optimization opportunities for both short-term and long-term planning. Build and deploy LLM-based AI solutions to support fab operations, enabling smarter decision-making and improved operational efficiency. Collaborate closely with PMs, IT, and Core AI teams to drive cross-functional AI initiatives. Build interactive dashboards and visualizations to support data-driven decision-making. Work within the GCP environment for model training, deployment, and maintenance. Explore and implement MLOps, AutoML, and other advanced techniques to enhance model performance and reliability. Required Qualifications Master’s degree or above in Computer Science, Statistics, Engineering, or related fields 3&#43; years of experience in data science Proficient in Python, SQL, TensorFlow or other deep learning frameworks Skilled in data visualization tools Strong communication skills and experience in cross-functional collaboration </li

The mission of The New York Times is to seek the truth and help people understand the world. That means independent journalism is at the heart of all we do as a company. It’s why we have a world-renowned newsroom that sends journalists to report on the ground from nearly 160 countries. It’s why we focus deeply on how our readers will experience our journalism, from print to audio to a world-class digital and app destination. And it’s why our business strategy centers on making journalism so good that it’s worth paying for. About the Role, Mission or Department Overview As a Senior Engineer, Marketing, you'll be embedded with the Marketing team, providing us with technical leadership, consulting, and systems thinking. You'll assemble the orchestration systems, integrations, and AI capabilities that help teams work faster, and in more data‑driven ways. You will lead end‑to‑end design, implementation, and management of the marketing campaign lifecycle system, integrations, internal tools, and learning/experimentation infrastructure. You will report to our Director, Advertising Systems. Responsibilities: You will write high-quality, secure, and well-tested code, contributing to standards and documentation for Marketing infrastructure, data models, and tools You will build the campaign lifecycle orchestration backbone You will build integrations and internal tools that connect project management, collaboration, creative, media, and email/lifecycle platforms You will work with Marketing partners as a technical advisor, translating needs into designs You will integrate AI agents and automations (including LLM-powered flows) into Marketing workflows according to company GenAI guidance You will design and operate data pipelines and models that ingest marketing and performance data into a data layer, supporting experimentation and analytics workflows You will deliver abstractions and APIs that ensure AI systems and our users to create campaign wrap-ups, insights, next-t

Our Purpose Mastercard powers economies and empowers people in 200&#43; countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Data Scientist What is the opportunity? We are seeking a highly skilled and motivated Data Scientist to join our Cyber Analytics team within the Security Solutions Data Science organization. This role is critical to driving advanced analytics initiatives, improving fraud detection capabilities, and supporting strategic decision-making across cybersecurity and payment fraud domains. What will you do? • Gain subject matter knowledge on web application security, commonly exploited cyber vulnerabilities, and methods of online and payment card fraud including the common points of purchase for compromised cards. • Build, develop, and maintain innovative data-driven analytical solutions, including predictive models and machine learning algorithms, on large volumes of data to support analytics and reporting needs across products, markets, and services. • Competently handle large datasets, sifting for patterns and trends and translating those insights into technical rules and solutions. • Combine cybersecurity and transaction data into new and insightful views of fraud and vulnerability across the Mastercard network. • Collaborate with cross-functional teams including product, engineering, and operations to understand product, usage, and data pipelines as well as delivering scalable solutions. • T

This is Adyen Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster. Team Lead - Software Engineer As a Software Engineering Team Lead based in Singapore, you will lead a team of highly skilled software engineers responsible for building and evolving Adyen's Global Cards platform for the APAC region. Your team plays a critical role in developing scalable, reliable, and resilient payment capabilities that power card transactions for merchants across APAC. You'll work closely with Product Managers, Architects, and Engineering teams to deliver new functionality across the Cards domain, while continuously improving the performance, scalability, and reliability of our platform. As a people leader, you'll coach and develop engineers, foster a culture of ownership, and help shape the technical direction of one of Adyen's core payment domains. As part of Adyen's global engineering organisation, you'll collaborate closely with teams across Europe, APAC, and North America to build products that scale globally. What you'll do Lead, coach, and develop a team of Software Engineers, supporting both their technical and professional growth. Foster a high-performing engineering culture built on ownership, collaboration, and continuous learning. Partner closely with Product Managers to translate business priorities into scalable technical solutions. Drive the technical direction of the team, balancing product de

This is Adyen Adyen provides payments, data, and financial products in a single solution for customers like Facebook, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. The people of Adyen are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster. Financial Products The Financial Products solution is responsible for all financial products that we offer on top of payments processing to our customers. Examples of these are our Banking, Issuing, Fx, and Capital products. Whether we work with large partner platforms, medium sized local merchants, or major international enterprise businesses, our products need to meet our clients expectations and seamlessly fit into their systems. What you’ll do: Work on complex technical projects from requirements analysis through design, implementation, testing and launch into production. Be hands-on and contribute to the implementation. Identify and improve parts of the platform to make it more robust and scalable. Bring your own point of view on best engineering practices. Your code will be used at scale and you are expected to think in that mindset when building features. We launch fast and iterate often. Concretely, this means that within your first few weeks, you will bring live functionalities that impact many merchants and shoppers. Build APIs and tooling according to quality principles such as performance and code quality. Collaborate across teams and time zones to get projects over the finish line. Who you are: Familiar with complex large scale distributed systems. You have experience with Java,

Position Overview We are looking for a Software Engineer II to build and deliver scalable software solutions across our products. You will work on modern web applications and cloud-based services using Node.js, React, TypeScript, AWS, PostgreSQL, MSSQL, and Docker, while contributing to AI-enabled features and integrations. You will collaborate closely with other engineers, product managers, and cross-functional teams to develop reliable, maintainable, and production-ready solutions. This role provides an opportunity to work with modern AI technologies including Python, AWS Bedrock, MCP, RAG, and agentic AI workflows while developing strong expertise in cloud-native software engineering. What You'll Do Develop and maintain scalable backend services and APIs using Node.js, TypeScript, and JavaScript. Build responsive and maintainable frontend applications using React. Design and implement integrations with AWS services and contribute to cloud-native application development. Develop and maintain applications using PostgreSQL and MSSQL, including writing efficient queries and working with database schemas. Build, test, and deploy applications using Docker and modern CI/CD practices. Contribute to AI-enabled product features using Python, AWS Bedrock, RAG, MCP, and AI integration patterns. Work with the team to integrate LLM capabilities, APIs, tools, and data sources into production applications. Write clean, maintainable, and well-tested code following established engineering practices. Participate in code reviews, technical discussions, debugging, and production issue resolution. Develop unit and integration tests and contribute to improving application quality and reliability. Monitor application performance and troubleshoot issues across development and production environments. Collaborate with senior engineers and architects to implement technical solutions aligned with product and engineering requirements. Stay current with emerging technologies, particularly in

About the Role: The Machine Learning team at Tubi drives the innovation behind personalized user experiences. With the largest inventory in the industry and hundreds of millions of viewers, we tackle problems in the space of recommendations, search, content understanding and ads optimization that shape the future of streaming. We are seeking a highly skilled Senior Machine Learning Engineer to contribute to transformative projects in video personalization. In this role, you will design and implement advanced algorithms and systems to improve our personalization strategy. As a senior technical expert, you will tackle complex problems in machine learning at scale, collaborating closely with cross-functional teams to develop and optimize machine learning-driven solutions. This is a hybrid role in our Toronto office. What You'll Do: Design, develop, and implement recommendation systems and algorithms for a global audience Conduct deep dives into algorithmic components and systems, ensuring that models are optimized for both performance and scalability across multiple regions and product areas Build and deploy high-impact robust ML pipelines, including data extraction, feature development, model training, testing, and deployment Continuously monitor, evaluate, and optimize the performance of deployed models, ensuring they meet business goals and provide high-quality user experiences. Work closely with Product, Engineering, and Data Science teams to align on product requirements, set expectations, and deliver machine learning-driven solutions that improve user engagement Your Background: 3+ years of industry experience building production Machine Learning systems BS, MSc, or Ph.D. in Computer Science, Machine Learning, Statistics, Mathematics, or a related field Experience with deep learning technologies for recommendation systems, including TensorFlow, PyTorch, or similar frameworks Proficiency in building and deploying full-stack machine learning pipelines: data e

About the Role: The Machine Learning team at Tubi drives the innovation behind personalized user experiences. With the largest inventory in the industry and hundreds of millions of viewers, we tackle problems in the space of recommendations, search, content understanding and ads optimization that shape the future of streaming. We are seeking a highly skilled Staff Machine Learning Engineer to contribute to transformative projects in video personalization. In this role, you will design and implement advanced algorithms and systems to improve our personalization strategy. As a senior technical expert, you will tackle complex problems in machine learning at scale, collaborating closely with cross-functional teams to develop and optimize machine learning-driven solutions. This is a hybrid role in our Toronto office. What You'll Do: Lead the design, development, and implementation of advanced recommendation systems and algorithms for a global audience Conduct deep dives into algorithmic components and systems, ensuring that models are optimized for both performance and scalability across multiple regions and product areas Build and deploy high-impact robust ML pipelines, including data extraction, feature development, model training, testing, and deployment Continuously monitor, evaluate, and optimize the performance of deployed models, ensuring they meet business goals and provide high-quality user experiences. Work closely with Product, Engineering, and Data Science teams to align on product requirements, set expectations, and deliver machine learning-driven solutions that improve user engagement Your Background: 8+ years of industry experience building production Machine Learning systems MSc or Ph.D. in Computer Science, Machine Learning, Statistics, Mathematics, or a related field Experience with deep learning technologies for recommendation systems, including TensorFlow, PyTorch, or similar frameworks Proficiency in building and deploying full-stack machine le

About Backblaze Backblaze provides reliable, high-availability cloud storage trusted by consumers, SMBs, enterprises, and developers in over 150 countries. Backblaze B2 Cloud Storage supports data-intensive workloads including backup, media, analytics, and modern AI pipelines. Our teams focus on building secure, durable, scalable systems with a strong emphasis on application security from day one and protecting customers to keep them safe. While there is a lot to celebrate in our past, there are greater opportunities ahead of us. About the Role We are seeking a Back-End Engineer for our Computer Backup Team. This team focuses on the services supporting our Computer Backup product. In this role, you will build and maintain systems to back up and restore exabytes of data. We are looking for an engineer who is excited to learn to develop high-performance, highly multithreaded architectures. We value versatility and are looking for someone comfortable designing and working across any technology as our needs evolve. Responsibilities Design and develop highly scalable, performant services and APIs in a Java ecosystem. Integrate AI coding agents and frameworks into your workflow to accelerate development, refactor legacy components, and improve code quality. Collaborate on the full technical lifecycle, including estimation, design, development, and delivery. Collaborate across the organization to ensure project success. You will often engage with QA, Data Centers, Marketing, Product Management, Support, Legal/Compliance, and Security to gather necessary context and requirements to implement solutions correctly, help customers, and solve problems. Diagnose complex issues and maintain the stability of large-scale production systems. Collaborate across functional teams and provide technical leadership to foster engineering excellence. Required Qualifications A broad track record of project deliveries and successfully shipping software systems. 3+ years of experience with Java