Senior Data Analytics Engineer Jobs

Role Description As an Infrastructure Engineer, your role will be crucial in shaping and constructing the robust systems that not only support our current flagship products but also lay the groundwork for the next wave of engineering innovations. From optimizing user experiences across various projects to ensuring seamless scalability and data integrity, you'll be at the forefront of shaping the technological backbone of our platform. Collaborating closely with cross-functional teams, you'll leverage your expertise to tackle audacious challenges and push the boundaries of what's possible. Your contributions will directly impact millions of users, as every line of code you write furthers our mission to revolutionize the way people work and collaborate. Join us in redefining the future, where your passion for building scalable, reliable systems will drive meaningful change on a global scale. Our Engineering Career Framework is viewable by anyone outside the company and describes what’s expected for our engineers at each of our career levels. Check out our blog post on this topic and more here . Responsibilities Build infrastructure capable of managing metadata for hundreds of billions of files, handling hundreds of petabytes of user data, and facilitating millions of concurrent connections. Lead the expansion of Dropbox's function as the data-fabric, connecting hundreds of millions of applications, devices, and services globally, while also driving initiatives to enhance interoperability and adaptability across diverse ecosystems. M easur e and optimiz e Dropbox's analytics platform to maintain its status as one of the most advanced in the industry for extracting meaningful insights from vast data volumes. Collaborat e with cross-functional teams to innovate and implement solutions that enhance the performance, reliability, and security of Dropbox's infrastructure, ensuring a seamless experience for users worldwide. Proactively identify new opportunities and drive imp

Become a part of our caring community The Senior Business Intelligence Engineer describes the tools, technologies, applications, and practices used to collect, integrate, analyze, and transform data into insightful and actionable business information. This position is a strategic analytics contributor responsible for developing complex, cross-functional reporting from conception through delivery in partnership with stakeholders to ensure insightful solutions align with organizational objectives and operational priorities. The ideal candidate demonstrates mature judgment, strong governance discipline, and ability to lead with ambition and scale. The Senior Business Intelligence Engineer role works assignments involving moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. The Senior Business Intelligence Engineer describes the tools, technologies, applications and practices used to collect, integrate, analyze, and present an organization's raw data to create insightful and actionable business information. Key Responsibilities Design and maintain BI dashboards and analytic solutions from end-to-end Partner with leaders to define KPIs and reporting that support business operations and strategy Ensure data accuracy, auditability, and traceability for regulatory reporting Optimize SQL queries and BI models for large-scale datasets Implement data governance standards including metric definitions and documentation Improve delivery processes, tools, and metrics to increase efficiency Serve as a trusted advisor to leaders, enabling informed decision-making through clear, data-driven communication and reporting Use your skills to make an impact Requi

Senior Product Engineer At Amplitude, we’re building the operating system for digital products. While we’re known as the leader in product analytics, our Statsig team is redefining how companies learn, iterate, and ship better experiences. Statsig is one of the fastest-growing and most strategic bets at Amplitude. It sits at the intersection of product, data, and decision-making, and we’re looking for a Product Engineer to help take it to the next level. Why this role matters This isn’t a “take tickets and ship code” role. You’ll operate as an owner, shaping both the product and the technical direction of a system used by some of the most sophisticated product teams in the world. You’ll work across the stack, React frontend, Node.js and Python backend, to build intuitive, high-performance experiences that make experimentation accessible, powerful, and trustworthy. What you’ll do Own critical product surfaces end-to-end from ideation to production and beyond Drive product direction in partnership with design and product leaders Build and evolve systems across React, Node.js, and Python that scale with customer growth Leverage modern AI tooling to dramatically accelerate development, prototyping, and iteration cycles Raise the bar for engineering quality - code, architecture, and user experience Lead by example - through hands-on development, technical mentorship, and thoughtful decision-making Move fast on ambiguous problems, turning ideas into shipped, customer-facing value What we’re looking for 3+ years of experience in software engineering Education: B.S. in Computer Science or an equivalent technical field Proven experience operating at a senior-level scope. You’ve led large, ambiguous initiatives with significant business impact Strong full-stack expertise (React + backend systems such as Node.js and/or Python) A deep sense of ownership - you don’t wait for direction; you create it Exceptional product taste - you care deeply about UX, details, and building thin

NVIDIA is well positioned as the 'AI Computing Company', our GPUs being the brains that power modern Deep Learning software frameworks, accelerated analytics, modern data centers, and driving autonomous vehicles. We are looking for a Senior Software QA Test Development Engineer to join in the mission of crafting a distributed technology for all NVIDIA teams that remotely manage 10s of 1000s of resources in a simple and controlled fashion, allowing engineers to focus on engineering and automation, rather than being burdened by manual operational tasks. SWQA test developer engineers at NVIDIA are responsible for creating test plans, execution, and reporting, as well as developing scripts for test automation, designing and developing tools for the QA team, and developing integration tests for validation. As a test developer, you must identify weak spots and constantly design better and more creative test plans to break software and identify potential issues. You will have a huge impact on the quality of NVIDIA's products. The ideal candidate must have strong programming skills and hands-on experience using AI development tools to improve quality and productivity across the end-to-end QA workflow. This includes leveraging AI assistants for test automation, code generation, debugging, and enhancing testing efficiency. During the interview process, we will assess your ability to effectively use AI development tools and evaluate your programming capabilities to ensure you can deliver high-quality solutions. What you’ll be doing: Architect, implement, and evolve scalable agentic end to end SWQA workflow, automated test frameworks, infrastructure, and tooling for complex software products. Define test strategy and quality gates across functional, integration, regression, reliability, and release-validation workflows. Build and maintain high-value automated coverage for Linux-based, co

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Job Summary: As a NAND Reliability Product Engineer , you will be responsible for defining, assessing, and safeguarding the intrinsic and extrinsic reliability of Micron's NAND Flash products through advanced analytics, large-scale data infrastructure, AI, and engineering innovation. Your responsibilities will include developing scalable data and AI solutions that enable faster engineering decisions, improving product quality, and strengthening reliability risk assessment. Working at the intersection of semiconductor technology, reliability engineering, cloud computing, and AI/ML, you will collaborate closely with other teams like AI, IT, and Quality teams to drive data-driven reliability strategies and prevent customer escapes. This role offers deep technical ownership at the intersection of reliability methodologies, analytics platforms, and AI-enabled engineering workflows, with strong visibility across development and manufacturing organizations. Main Responsibilities: Drive development and enhancement of cloud-based data platforms that support reliability monitoring, engineering analysis, and product disposition workflows. Design, develop, and maintain scalable ETL pipelines for ingesting, validating, tran

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. 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. Senior AI Engineer, EEF, SMAI Job Summary Join Micron Technology at a defining moment in our AI and smart manufacturing transformation. As a and AI Engineer, you will contribute to the design, development, deployment, and support of AI-powered applications that improve manufacturing operations across Micron's global network of fabs and assembly/test sites. You will work closely with data scientists, software engineers, and manufacturing stakeholders to build scalable AI solutions, web applications, APIs, and automation tools that enable data-driven decision-making and autonomous operations. Main Responsibilities Design and build end-to-end AI solutions, including data ingestion pipelines, feature engineering, model training and inference, APIs, web applications, and observability capabilities. Develop responsive front-end applications using React, Angular, or Streamlit, backed by Python/FastAPI services, with strong type-safe development and test coverage practices. Support development and implementation of machine learning and AI models for structured and unstructured data. Support development of analytics and AI

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. The Data and Storage Services team is responsible for Affirm's data infrastructure across OLTP and OLAP systems, spanning critical online checkout databases, batch orchestration, streaming infrastructure, event-driven frameworks, BI, analytics tooling, large-scale data platforms, and agentic data tools such as semantic layers and internal platform data applications. Our mission is to provide trustworthy, intuitive, and cost-efficient solutions for Affirmers to secure, store, analyze, and transform data at exceptional scale. The vision for the Lakehouse Infra team is to provide reliable, scalable, self-serve and Affirm-optimized offline data access to enable ML, Product, and Financial Engineering success. Our team is responsible for hosting the data infrastructure that serves as a backbone for processing various business critical money and loan movement workloads at Affirm across our batch and analytics ecosystems. Affirm is growing rapidly and so is the need for reliable and high availability frameworks. If solving data lake challenges at scale excites you, come join us! What you’ll do You will be responsible for owning and delivering quarterly goals for your team, leading engineers on your team through ambiguity to solve open-ended problems, and ensuring that everyone is supported throughout delivery. You will support your peers and stakeholders in the product development lifecycle by collaborating with product management, design & analytics by participating in ideation, articulating technical constraints, and partnering on decisions that properly consider risks and trade-offs. You will proactively identify project, process, technology or business issues, advocate for them, and lead in solving them. You will support the operations and availability of your team’s artifacts by crea

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. The Data and Storage Services team is responsible for Affirm's data infrastructure across OLTP and OLAP systems, spanning critical online checkout databases, batch orchestration, streaming infrastructure, event-driven frameworks, BI, analytics tooling, large-scale data platforms, and agentic data tools such as semantic layers and internal platform data applications. Our mission is to provide trustworthy, intuitive, and cost-efficient solutions for Affirmers to secure, store, analyze, and transform data at exceptional scale. The vision for the Lakehouse Infra team is to provide reliable, scalable, self-serve and Affirm-optimized offline data access to enable ML, Product, and Financial Engineering success. Our team is responsible for hosting the data infrastructure that serves as a backbone for processing various business critical money and loan movement workloads at Affirm across our batch and analytics ecosystems. Affirm is growing rapidly and so is the need for reliable and high availability frameworks. If solving data lake challenges at scale excites you, come join us! What you’ll do You will be responsible for owning and delivering quarterly goals for your team, leading engineers on your team through ambiguity to solve open-ended problems, and ensuring that everyone is supported throughout delivery. You will support your peers and stakeholders in the product development lifecycle by collaborating with product management, design & analytics by participating in ideation, articulating technical constraints, and partnering on decisions that properly consider risks and trade-offs. You will proactively identify project, process, technology or business issues, advocate for them, and lead in solving them. You will support the operations and availability of your team’s artifacts by crea

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. The Data and Storage Services team is responsible for Affirm's data infrastructure across OLTP and OLAP systems, spanning critical online checkout databases, batch orchestration, streaming infrastructure, event-driven frameworks, BI, analytics tooling, large-scale data platforms, and agentic data tools such as semantic layers and internal platform data applications. Our mission is to provide trustworthy, intuitive, and cost-efficient solutions for Affirmers to secure, store, analyze, and transform data at exceptional scale. The Online Storage team provides a set of managed databases as a platform, used to persist data for all Affirm services. Our platform enables self-service access to OLTP storage systems, including Relational DB(MySQL), KV(DynamoDB), Distributed SQL(TiDB) and Cache(Redis). As a team, we are responsible for various data and access patterns, including but not limited to mission-critical financial transactional data, data science models, and any new persistence use case. These responsibilities require us to learn and gain deep expertise in various database systems. We are looking for a talented Senior Software Engineer who can architect, build and scale Relational and Distributed SQL Databases identifying opportunities to improve how we build, productionize, operate and improve this mission-critical infrastructure to unlock substantial value within our business. You’ll have the opportunity to directly influence your team’s roadmap in close collaboration with your peers, share your knowledge and expertise with others and learn from some of the best on our shared mission to deliver honest financial products that improve lives. What you’ll do You will build and operate the control plane for large-scale distributed SQL databases such as MySQL and TiDB, automating provision

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. The Data and Storage Services team is responsible for Affirm's data infrastructure across OLTP and OLAP systems, spanning critical online checkout databases, batch orchestration, streaming infrastructure, event-driven frameworks, BI, analytics tooling, large-scale data platforms, and agentic data tools such as semantic layers and internal platform data applications. Our mission is to provide trustworthy, intuitive, and cost-efficient solutions for Affirmers to secure, store, analyze, and transform data at exceptional scale. The Online Storage team provides a set of managed databases as a platform, used to persist data for all Affirm services. Our platform enables self-service access to OLTP storage systems, including Relational DB(MySQL), KV(DynamoDB), Distributed SQL(TiDB) and Cache(Redis). As a team, we are responsible for various data and access patterns, including but not limited to mission-critical financial transactional data, data science models, and any new persistence use case. These responsibilities require us to learn and gain deep expertise in various database systems. We are looking for a talented Senior Software Engineer who can architect, build and scale Relational and Distributed SQL Databases identifying opportunities to improve how we build, productionize, operate and improve this mission-critical infrastructure to unlock substantial value within our business. You’ll have the opportunity to directly influence your team’s roadmap in close collaboration with your peers, share your knowledge and expertise with others and learn from some of the best on our shared mission to deliver honest financial products that improve lives. What you’ll do You will build and operate the control plane for large-scale distributed SQL databases such as MySQL and TiDB, automating provision

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Data Center Security Engineering (DCSE) owns physical security across Anthropic's data center footprint: the sites, the hardware inside them, and the supply chain that delivers it. The Security Fusion Platform is where physical security signals from across that footprint are correlated and put in front of the analysts who act on them. It carries continuous monitoring, audit evidence, metrics, and analyst response, along with the classification and analytics pipelines that turn sensor data into events. You'll build and own the platform analysts work from. This is a foundational role. You'll build the software platform that carries a signal from source to analyst decision, ship its first versions, and keep them running in production. The sensors and systems at each site belong to other DCSE engineers; you define the event contract their owners deliver to, and you build the classification and analytics pipelines that run over what those sources produce. Physical security systems engineers own the operations spaces; you own the software that runs in them. You'll work alongside engineers focused on the sites themselves. What you lead, you own end to end: the design, the technical approach, and the result in production. You'll work with external vendors and integrators, setting requirements and acceptance criteria for what you own and deciding what the team builds itself. We use Claude throughout our engineering workflow and expect you to as well. This role involves regular travel to data center sites. No security clearance is required. These are critical services, and you'll take part in on-call for them. Key responsibilitie

Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operational clarity. World's leading companies trust Celonis and its global ecosystem of partners to make their AI agents, people, systems, and processes work together, achieving transformational outcomes. We believe there's a massive opportunity to unlock global productivity and sustainability by giving AI the context to understand how every business process really works. Join our mission to make processes work for people, companies, and the planet. The Team Celonis USA is the fastest-growing division of one of the world’s fastest-growing companies. Come join us on the ground floor on a team dedicated to developing state-of-the-art technology for core Celonis services. The Data Core team builds an engineering team to develop the high-throughput infrastructure that powers monetization, real-time consumption tracking, dynamic entitlement enforcement, and cost optimization across the Celonis services. As our global customer base expands, our backend services process billions of telemetry and usage events daily to deliver precise, transparent, and fault-tolerant billing data in multi-cloud environments. Join us if you want to grow in your engineering knowledge, tackle complex distributed systems challenges, and leave your mark on a rapidly growing company. The Role We are looking for a senior backend developer who enjoys building resilient, low-latency, and high-throughput systems at scale. Within our Pricing service team, you will design and implement the mission-critical core engines that ingest usage telemetry, evaluate dynamic pricing models, enforce feature entitlements, and power cost analytics dashboards for enterprise customers. The work you’ll do Design and implement criti

WPP is the trusted growth partner for the world’s leading brands. We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company – powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth. We work with the world's most valuable brands and have global reach across 100+ markets, with deep local expertise. Our people are the key to our success. We're committed to fostering a culture of creativity, belonging and continuous learning, attracting and developing the brightest talent, and providing exciting career opportunities that help our people grow. For more information, visit WPP.com. Why we're hiring: The WPP DTS Business Intelligence team is looking for an exceptional Senior Analytics Manager to lead two of the four working pillars within our 14-person (and growing) global BI function: Product & Engineering Intelligence and Sentiment & Value Intelligence . In this role, you will be the vital bridge connecting day-to-day tactical analytics with the broader WPP DTS Business Intelligence vision . You will partner directly with product leadership, engineering, UI/UX research, client, and market enablement teams to establish trusted telemetry, evaluate feature adoption, and measure the business value of our digital products. You will have line management responsibility for 2 analysts (split across the UK and US), serving as a dedicated mentor and technical guide to help them deliver their best work and grow their careers. Working closely with the VP of Business Intelligence, you will establish unified tracking standards, integrate qualitative sentiment with behavioural data, and ensure our reporting delivers the critical ‘so what’ that inspires executive action. This rol

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Lyft is looking for software engineers from a scope of disciplines. We are growing our team with people who want to build, improve and incorporate technologies that make the lives of our community more enriched. As an engineer at Lyft, you'll collaborate with teams like product, data science, analytics, and operations on code that empower us to iterate quickly, while focusing on delighting our passengers and drivers. The Rider organization is focused on building a seamless, best-in-class rideshare experience for riders. From the foundational functionality of requesting a ride to the tailored interactions with your flight, we sweat the small stuff to help make Lyft the best transportation solution. As an Senior Software Engineer on the Rider Team, you will work hand in hand with various teams across Lyft, fostering collaboration, and driving innovation to improve riders' experience with rideshare. Responsibilities: Write well-crafted, well-tested, readable, maintainable code Participate in code reviews to ensure code quality and distribute knowledge Participate in our teams oncall rotation. Identify, triage, debug and resolve issues/bugs across our various applications and platforms Have the ability to explain the various trade offs made in decisions Manage project priorities, deadlines, and deliverables. Partner with product managers, designers, and other engineering teams to build complex features and products from idea to positive execution Analyze our internal systems and processes and locate areas for improvement/automation Share your knowledge by giving brown bags, tech talks, and promoting appropriate tech and engineering best practices Provide technical mentorship and feedback to junior engineers Help establish roadmap and architecture based on technology and our needs Experience: B

We are seeking a versatile and highly skilled Senior Engineer – Digital Solutions & AI Integration with 4 to 8 years of hands-on experience in building scalable digital systems, end-to-end data pipelines, and intelligent automation workflows. In this role, you will bridge the gap between software engineering, data management, enterprise automation, and cutting-edge artificial intelligence. You will work with the development team to design, develop, and deploy enterprise web applications, establish robust ETL pipelines, create actionable analytics dashboards in Power BI, automate business processes using Power Automate, and integrate modern Generative AI and Agentic AI architectures. If you thrive in a fast-paced environment and enjoy solving complex enterprise challenges across multi-cloud and multi-stack environments, this role offers an exciting opportunity to drive impactful digital transformation. Source: Adani Group | Job ID: 57867