Senior Data Engineer Jobs

Senior Engineer/Engineer IT - Data Services (Shift rotation) — Penang, Malaysia - Grande. Apply via Workday.

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. Observe by Snowflake is an AI-powered observability platform built on the Snowflake AI Data Cloud and engineered for scale. We ingest and store logs, metrics, traces, and events on an open, scalable data lakehouse using open formats like Apache Iceberg — at dramatically lower cost. A dynamic Context Graph and chat-based AI SRE provide rich context and automated workflows so teams can move from detection to root cause and resolution 10x faster. Leading engineering teams at companies like Capital One, Topgolf, and Dialpad rely on Observe to troubleshoot hundreds of terabytes of telemetry daily while maintaining reliability at enterprise scale. As part of Snowflake, Observe combines startup-style ownership and velocity with the global reach, operational excellence, and ecosystem of one of the world's leading data platforms. We are hiring a Senior Software Engineer for the Observe Data Management team. This team owns the core pipelines that ingest and process over 1 petabyte of telemetry data per day — the foundational infrastructure powering Observe's entire observability stack. You'll be working at the intersection of massive scale, open-source innovation, and real-world reliability challenges for enterprise customers around the globe. AS A SENIOR SOFTWARE ENGINEER - OBSERVE

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. Observe by Snowflake is an AI-powered observability platform built on the Snowflake AI Data Cloud and engineered for scale. We ingest and store logs, metrics, traces, and events on an open, scalable data lakehouse using open formats like Apache Iceberg — at dramatically lower cost. A dynamic Context Graph and chat-based AI SRE provide rich context and automated workflows so teams can move from detection to root cause and resolution 10x faster. Leading engineering teams at companies like Capital One, Topgolf, and Dialpad rely on Observe to troubleshoot hundreds of terabytes of telemetry daily while maintaining reliability at enterprise scale. As part of Snowflake, Observe combines startup-style ownership and velocity with the global reach, operational excellence, and ecosystem of one of the world's leading data platforms. We are hiring a Senior Software Engineer for Observe by Snowflake on the Data Management team. This team is responsible for the tables, views, and materialized views at the core of Observe's architecture. Observe's data lake approach lets customers correlate heterogeneous telemetry — logs, metrics, traces, events — across a unified data model. This role owns that data model: how customers define, shape, and query the semi-structured data that makes cross-si

Discord has a highly engaged community of millions of daily active users who use the platform for many different reasons, but there’s one thing that nearly everyone does: play video games. Discord plays a uniquely important role in the future of gaming, and we are focused on making it easier and more fun for people to hang out before, during, and after playing games. We are looking for a Senior Software Engineer specializing in Machine Learning to join our Revenue ML team at Discord. This team partners with our revenue product groups, focusing on both consumer revenue and our emerging Ads initiative. This role will specifically contribute to our Ads ML efforts, helping to build and scale ML capabilities in areas such as ads measurement, targeting, and delivery ranking. As part of this team, you will play a critical role in developing foundational ML models that enhance ad relevance, optimize performance, and drive revenue. This is a unique opportunity to work on an early-stage Ads ML platform and have a direct impact on the business's success. Our tech stack includes Python, ML frameworks like PyTorch and TensorFlow, large-scale data infrastructure, and real-time ad-serving technologies. What You'll Be Doing: Design, develop, and deploy machine learning models for ads targeting and ranking. Develop sophisticated ML solutions such as identity graph to enhance ad targeting. Build and optimize ad ranking models to serve the most effective ads based on campaign objectives (e.g., app installs, link click). Improve ads targeting and ranking by leveraging both on-platform and off-platform signals. Collaborate cross-functionally with product, engineering, and business teams to define and execute on the Ads ML roadmap. Scale our ML infrastructure to support an increasing number of concurrent ad campaigns while ensuring low-latency decision-making. Drive research and implementation of state-of-the-art ML techniques in the field of online advertising. What You Should Have: 5+

About Goods & Services Goods & Services is a product design and engineering company. We solve mission-critical challenges for some of the world’s largest enterprises, with deep expertise in highly regulated industries—including life sciences and financial services . Our design-led approach allows us to apply cutting-edge capabilities in AI, Data and Hardware Engineering to companies of any size. Headquartered in the United States , we operate regional development centers in Mexico and the United Kingdom . This global footprint—anchored by our nearshore model—enables us to deliver at scale with the speed, efficiency, and cultural alignment our clients expect. At Goods and Services, we value diversity and are committed to creating an inclusive workplace where everyone can thrive. We are proud to be an Equal Opportunity Employer and welcome qualified applicants from all backgrounds. About the job Goods & Services is looking for a Senior Mobile Engineer (AI-Assisted) to design, develop, and maintain a cross-platform mobile application serving both iOS and Android users. The ideal candidate has strong experience building production-ready mobile applications using React, TypeScript, and Capacitor, and has successfully managed deployments to both the Apple App Store and Google Play Store. This role requires a hands-on engineer who is comfortable working across web and mobile technologies, developing native integrations when needed, and maintaining high standards for code quality and type safety. What you’ll do: Design, develop, and maintain mobile applications for iOS and Android using React and Capacitor. Build scalable, maintainable, and high-performance user interfaces using React 18 and TypeScript. Develop and maintain native mobile integrations and Capacitor plugins as needed. Configure and manage build environments using Vite. Collaborate with backend, product, and design teams to deliver seamless user exp

Our Purpose Mastercard powers economies and empowers people in 200+ 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 Senior Software Engineer Overview Interested in building the next generation platform that empowers end-to-end marketing campaign management inclusive of audience targeting, campaign execution, and measurement? Our platforms operate at global scale, enabling organizations across markets worldwide to leverage data-driven marketing capabilities. The overarching goal of data-driven marketing is to deliver the right content, to the right person, at the right time. The Marketing Services (MS) Technology team is looking for a Senior Software Development Engineer to provide technical ownership, with an emphasis on engineering efficiency, innovation, and on-time delivery. The ideal candidate is passionate about building highly scalable, cloud-native platforms using modern software engineering and data technologies. You will have the opportunity to work across technologies including Java, Spring Boot, React, GraphQL, Databricks, AWS, Spark, Hadoop, event-driven architectures, and real-time data platforms. Our teams leverage GenAI and Agentic AI capabilities throughout the product development lifecycle to accelerate delivery, improve quality, enhance automation, and increase engineering productivity. This role offers an opportunity to help shape Mastercard's ongoing cloud transformation journey while transform

About Goods & Services Goods & Services is a product design and engineering company. We solve mission-critical challenges for some of the world’s largest enterprises, with deep expertise in highly regulated industries—including life sciences and financial services . Our design-led approach allows us to apply cutting-edge capabilities in AI, Data and Hardware Engineering to companies of any size. Headquartered in the United States , we operate regional development centers in Mexico and the United Kingdom . This global footprint—anchored by our nearshore model—enables us to deliver at scale with the speed, efficiency, and cultural alignment our clients expect. At Goods and Services, we value diversity and are committed to creating an inclusive workplace where everyone can thrive. We are proud to be an Equal Opportunity Employer and welcome qualified applicants from all backgrounds. About the job Goods & Services is looking for a Senior Software Engineer in Test who will deep into the challenging problems, come up with the solutions, and build innovative features which transform customers’ experience and bring efficiency by applying in the software build and delivery process. What you’ll do: Work closely with the Test automation engineers and cross functional product owners to translate the acceptance criteria to technical documents to write the automation scripts and integrate it with Test Automation framework and CI/CD pipeline. Provide the progress status update to Project manager and reporting manager. Ensure you work in align with the given project schedule for you and the team. Ensure all the functional requirements, business process flows are understood, and tested on the test, UAT env in adherence with the Quality assurance process and procedure . What you’ll need: Bachelor’s degree in computer science or related field. 5+ years of experience in manual testing, automated testing and test plan preparation.

Amplitude is the leading AI analytics platform, helping over 4,700 customers—including Atlassian, Burger King, NBCUniversal, and Square—build better products and digital experiences. With powerful AI Agents embedded across our platform, teams can analyze, test, and optimize user experiences faster than ever. Ranked #1 across multiple categories in G2’s Winter 2026 Report, Amplitude is the best-in-class solution for product, data, and marketing teams. Learn more at amplitude.com . As an organization, we deliver for our customers by living our values. We operate from a place of humility, take ownership of problems and successes, approach challenges with a growth mindset, and put our customers at the center of everything we do. Amplitude’s Commitment to Diversity Equity & Inclusion (DEI): Amplitude believes that diversity enables the creation of better products, improves the ability to solve complex problems, and drives more powerful solutions. We strive to create an environment of inclusion—one focused on psychological safety, empathy, and human connection—that will allow employees of all backgrounds to thrive. Senior Software Engineer - Analytics Compute Platform Team About the Role & Team Every chart, insight, and experiment result a customer sees in Amplitude passes through the compute layer that this team owns. Our team sits between Amplitude's front-end analytics products/ rest APIs/ MCPs and Nova, our proprietary analytics database, and owns the compute API that translates a user's question into a fast, correct answer. Our mandate: enable a highly performant, reliable, and flexible way to compute insights. Those three goals are often in tension the more flexible we make the system, the harder it is to keep it fast and simple, and a lot of the interesting engineering work on this team lives in that tradeoff. Day to day, you'll work closely with engineers on data management, marketing analytics, Session Replay, Experiment, CDP, Query,

Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as our next Senior Engineering Manager , Twilio’s Segment team. About the job As a Senior Engineering Manager on the Twilio Segment Data platform/ pipelines team, you’ll build and scale systems that process several hundred thousands of data points per second. You will lead the development of high-scale ingestion and data processing systems You'll guide the team in designing, operating and maintaining complex distributed systems, ensuring reliability, performance, and cost-efficiency while querying petabytes of data for our customer data platform (CDP). Responsibilities In this role, you’ll: Own and deliver robust, high-scale routing experiences for Data platforms & pipelines for Twilio Segment. Champion team growth and success, prioritizing mentorship and individual development. Architect and operate always-available, complex distributed systems in cloud environments. Guide technical decisions, articulating trade-offs between cost, p

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. Observe by Snowflake is an AI-powered observability platform built on the Snowflake AI Data Cloud and engineered for scale. We ingest and store logs, metrics, traces, and events on an open, scalable data lakehouse, using open formats like Apache Iceberg, at dramatically lower cost. A dynamic Context Graph and chat-based AI SRE provide rich context and automated workflows so teams can move from detection to root cause of production issue and resolution 10x faster. Leading engineering teams at companies like Capital One, Topgolf, and Dialpad rely on Observe to troubleshoot hundreds of terabytes of telemetry daily while maintaining reliability at enterprise scale. As part of Snowflake, Observe combines startup-style ownership and velocity with the global reach, operational excellence, and ecosystem of one of the world’s leading data platforms. We are hiring a Senior Frontend Engineer, AI Products team at Observe by Snowflake. As an AI Product engineer you'll always be thinking first about the user experience and how to create the best product, technical choices, and implementation decisions that stem from that product first thinking. This team builds the AI-powered products and developer tooling at the core of Observe's platform, including our flagship AI SRE product, real-tim

Senior Software Engineer - Analytics Compute Platform Team About the Role & Team Every chart, insight, and experiment result a customer sees in Amplitude passes through the compute layer that this team owns. Our team sits between Amplitude's front-end analytics products/ rest APIs/ MCPs and Nova, our proprietary analytics database, and owns the compute API that translates a user's question into a fast, correct answer. Our mandate: enable a highly performant, reliable, and flexible way to compute insights. Those three goals are often in tension the more flexible we make the system, the harder it is to keep it fast and simple, and a lot of the interesting engineering work on this team lives in that tradeoff. Day to day, you'll work closely with engineers on data management, marketing analytics, Session Replay, Experiment, CDP, Query, and various product teams, since they're all consumers of what we build. As a Senior Software Engineer, you will Design and build core parts of the query/compute engine that powers analysis across Amplitude's product suite Evolve the compute API and semantic layer that other engineering teams build features on top of, so that it can support a more generic table Help unify and evolve our core data model, including how non-event data (profile properties, lookup tables, etc.) is represented alongside event data Improve the performance, reliability, and scalability of query planning and execution on the Amplitude query engine Partner with teams across Session Replay, Experiment, CDP, Query, and frontend to understand their needs and shape the compute layer around them Take ownership of projects end-to-end, from design through rollout You'll be a great addition to the team if you have Strong backend or distributed-systems engineering experience, ideally touching OLAP databases, query engines, or data infrastructure Experience with SQL, query planning/execution, or building APIs that many other engineering teams depend on Comfort reasoning

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. Observe by Snowflake is an AI-powered observability platform built on the Snowflake AI Data Cloud and engineered for scale. We ingest and store logs, metrics, traces, and events on an open, scalable data lakehouse using Apache Iceberg — at dramatically lower cost. OpenTelemetry is the foundation of how customers send data to Observe, and we are making significant investment in upstream OTel contributions to ensure Observe is the best destination for OTel-instrumented environments. As a Senior Software Engineer on the OpenTelemetry team, you'll play a key role in driving Observe's open-source strategy within the OpenTelemetry ecosystem. You'll work on some of the most exciting challenges in telemetry collection and instrumentation — expanding coverage into emerging domains like LLM/AI observability and Browser RUM — while collaborating closely with the OTel community to shape the standards that the industry builds on. AS A SENIOR SOFTWARE ENGINEER - OBSERVE BY SNOWFLAKE, OPENTELEMETRY, YOU WILL: Pioneer new instrumentation capabilities in the OpenTelemetry community, defining and building next-generation telemetry collection for emerging domains including LLM/AI inference, Browser RUM, and mobile. Design and implement OTel Collector components (receivers, processors, exporte

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. Observe by Snowflake is an AI-powered observability platform built on the Snowflake AI Data Cloud and engineered for scale. We ingest and store logs, metrics, traces, and events on an open, scalable data lakehouse, using open formats like Apache Iceberg, at dramatically lower cost. A dynamic Context Graph and chat-based AI SRE provide rich context and automated workflows so teams can move from detection to root cause of production issue and resolution 10x faster. Leading engineering teams at companies like Capital One, Topgolf, and Dialpad rely on Observe to troubleshoot hundreds of terabytes of telemetry daily while maintaining reliability at enterprise scale. As part of Snowflake, Observe combines startup-style ownership and velocity with the global reach, operational excellence, and ecosystem of one of the world’s leading data platforms. We are hiring a Senior Frontend Engineer, AI Products team at Observe by Snowflake. As an AI Product engineer you'll always be thinking first about the user experience and how to create the best product, technical choices, and implementation decisions that stem from that product first thinking. This team builds the AI-powered products and developer tooling at the core of Observe's platform, including our flagship AI SRE product, real-tim

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. Observe by Snowflake is an AI-powered observability platform built on the Snowflake AI Data Cloud and engineered for scale. We ingest and store logs, metrics, traces, and events on an open, scalable data lakehouse, using open formats like Apache Iceberg, at dramatically lower cost. A dynamic Context Graph and chat-based AI SRE provide rich context and automated workflows so teams can move from detection to root cause of production issue and resolution 10x faster. Leading engineering teams at companies like Capital One, Topgolf, and Dialpad rely on Observe to troubleshoot hundreds of terabytes of telemetry daily while maintaining reliability at enterprise scale. As part of Snowflake, Observe combines startup-style ownership and velocity with the global reach, operational excellence, and ecosystem of one of the world’s leading data platforms. In this role you will: Develop interactive, data-rich user interfaces using React, TypeScript, and Vega, with a focus on integrating LLM-driven features (e.g., natural language querying, generative UI, and AI-assisted data storytelling). Lead the end-to-end delivery of substantial product features, ensuring AI outputs are presented with high reliability and low latency. Work closely with PMs, UX designers, and AI/ML engineers to bridge t

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. Observe by Snowflake is an AI-powered observability platform built on the Snowflake AI Data Cloud and engineered for scale. We ingest and store logs, metrics, traces, and events on an open, scalable data lakehouse, using open formats like Apache Iceberg, at dramatically lower cost. A dynamic Context Graph and chat-based AI SRE provide rich context and automated workflows so teams can move from detection to root cause of production issue and resolution 10x faster. Leading engineering teams at companies like Capital One, Topgolf, and Dialpad rely on Observe to troubleshoot hundreds of terabytes of telemetry daily while maintaining reliability at enterprise scale. As part of Snowflake, Observe combines startup-style ownership and velocity with the global reach, operational excellence, and ecosystem of one of the world’s leading data platforms. The Role You will work on our Metrics platform - enabling our users to query, visualize, and alert on billions of time series quickly and effectively. You'll own meaningful parts of that stack, drive performance and scalability improvements, and contribute to architectural decisions that shape where the platform goes next. This isn't a maintenance role, the metrics backend is being actively evolved, and you'll be a core part of that. Thi