Senior Analytics Engineer Jobs

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: The Data Stewardship team is a group of passionate data practitioners with a diverse background in analytics, data modeling, governance, compliance, and scaled data quality. We are responsible for ensuring Airbnb is meeting its compliance obligations across our data ecosystem and ensuring data consumers are able to easily identify the best data for their needs. We support the pipelines, programs, and policy-bodies that make this possible. You’ll be part of the overall Data Infrastructure organization that is responsible for online and offline data infrastructure across the company, and the components that transition data between these environments. The Difference You Will Make Set the North Star: you will define the multi-year vision for Data Governance and Data Quality that scales with our global business and evolving AI landscape. Organizational Influence: Act as a primary consultant for executive leadership on data governance, ensuring that compliance and stewardship are integrated into the data product lifecycle from day one. A Typical Day Architect Ecosystems: Lead the design of overarching data architectures that don't just solve today’s batch needs but anticipate future real-time and AI-driven requirements. Scale Best Practices: Rather than just "ensuring quality," you will define the best practices, tooling, and culture that enable data organizations to maintain high-quality data autonomously. Policy Stewardship: Lead cross-functional task forces (Infosec, Legal, Privacy) to navigate complex regulatory landscapes (like GDPR or AI Act) and translate them int

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: The Threat Detection and Response team (TDR) at Airbnb is focused on automating security detection, responding to security incidents, and working with partner teams to build capabilities that support the incident lifecycle. This is the front-line team that detects, investigates, and responds to internal & external security threats and malicious activity. This is a key role to help define and execute our vision for threat detection and incident response capabilities and process while mentoring other team members. As a senior engineer on the team, you will have direct impact building, optimizing, and growing securing capabilities as you help deliver world-class threat detection and incident response. The Difference You Will Make: You will be a key member of our growing Threat Detection & Response (TDR) team. You will get an opportunity to define and execute on novel approaches to detecting, containing and mitigating threats and incidents. You will partner with cross-functional partners across the company to improve the overall security of Airbnb driven by learnings and root cause analysis of investigations and incidents resulting in removal of entire classes of problems. A Typical Day: Perform investigations of security incidents using your knowledge of digital forensics and data analytics. Use your coding, data analytics and investigation skills to hunt, detect and respond to threats. Build automation and detection models to support identification of anomalous activity and response activities to mitigate threats at scale. Hunt for threats in our corporate and prod

MDM TechnologyMDM Technology, a company affiliated with Dun & Bradstreet, provides enterprise-grade master data management (MDM) solutions that help organizations create a single, trusted view of business entities. By cleansing, matching, linking, and enriching data, anchored by the global standard D‑U‑N‑S® Number business identifier, MDM Technology enables accurate identity resolution across systems to support analytics, compliance, and AI workflows across industries. The Senior Quality Assurance Engineer ensures our software meets user and product needs. The role creates and maintains project test plans, defines and tracks quality assurance metrics, collects and analyzes data for software process evaluation and improvements, and integrates them into business processes combining deep technical expertise in API and Integrations testing and Automation. This role must show a passion for AI enabled Software Quality practices Leveraging modern AI tools to improve testing efficiency, accelerate release cycles, and enhance software reliability across complex enterprise integration.

Who Are We? Postman is the world’s leading API platform, used by more than 45 million+ developers and 500,000 organizations, including 98% of the Fortune 500. Postman is helping developers and professionals across the globe build the API-first world by simplifying each step of the API lifecycle and streamlining collaboration—enabling users to create better APIs, faster. The company is headquartered in San Francisco and has offices in Boston, New York, Austin, Tokyo, London, and Bangalore - where Postman was founded. Postman is privately held, with funding from Battery Ventures, BOND, Coatue, CRV, Insight Partners, and Nexus Venture Partners. Learn more at postman.com or connect with Postman on X via @getpostman. P.S: We highly recommend reading The "API-First World" graphic novel to understand the bigger picture and our vision at Postman. The Opportunity We're hiring a Senior Software Engineer to own the implementation, inventory, monitoring, and performance of every third-party integration that touches our numerous web properties: conversion pixels, trackers, first- and third-party analytics, ABM, APIs, cAPIs, cookie consent banners, and whatever the next law or vendor throws at us next quarter. This is not a migration. It is not a zero-to-one build. It's a plane flying well, and the person you're backfilling left it in good standing with thorough notes. You'll be taking over the controls, tuning the instruments, and working through a backlog of challenging and interesting projects. If you're looking for a stepping stone to something else, this isn't it. If you want to deeply nerd out on analytics, engagement, performance, and the craft of getting third-party implementations right, read on. What You'll Do About 90% of your time will be spent on third-party integrations: implementing them, inventorying them, tracking them, monitoring their uptime and the veracity of their data streams, and optimizing their performance. These integrations are helping the business get

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. This is a hybrid (3 days in office) role in Menlo Park or Dublin offices in California Our Data Analytics and AI org (DAA) is expanding our Customer Experience Analytics team and seeking a Senior Analyst to help shape how Snowflake measures and improves the post-sale customer experience. In this role, you'll combine rigorous quantitative analysis with a strong AI toolkit to unlock insights from rich support and services delivery data - driving decisions that span product strategy, operational efficiency, and customer outcomes. Reporting to the Manager of Customer Experience Analytics, you'll partner closely with Support and Services Delivery leadership, own analytical programs end-to-end, and build scalable tools that embed your work directly into stakeholder workflows In This Role You Will Be a Trusted Analytics Partner to CXE Leadership: Work closely with Support and Services Delivery leaders to provide the data and insights that drive operational decisions Deliver Insights That Drive Action: Conduct deep-dive analyses on support case drivers, resolution patterns, customer satisfaction trends, and operational efficiency that CXE leadership can act on immediately. Connect the Dots Across Teams: Partner with Support Engineering, Services Delivery, Operations, and Finance to

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. We are seeking a Senior Solution Engineer to drive complex customer solutions and close large deals. Working directly with sales teams and channel partners, you will be the technical expert who understands customer needs, provides compelling demonstrations, and supports enterprise Proof of Concepts. This role requires someone who can bridge business and technical contexts, engaging effectively with both executives and technical teams while sharing our passion for reinventing the database space. IN THIS ROLE AT SNOWFLAKE, YOU WILL: Present Snowflake technology and vision to executives and technical contributors Work hands-on with prospects to demonstrate value throughout the sales cycle Maintain deep understanding of competitive and complementary technologies Collaborate with Product Management, Engineering, and Marketing for continuous improvement Support enterprise Proof of Concepts and design implementations Drive technical solutions for complex customer challenges WE WOULD LOVE TO HEAR FROM YOU IF YOU HAVE: 7-8 years of industry experience with 5+ years in pre-sales Outstanding presentation skills for both technical and executive audiences Broad experience with Database, Data Warehouse, and cloud technologies Hands-on expertise with SQL, SQL analytics, and Python Strong

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 is building AI BI: a new way for anyone in a company to ask questions and get accurate, auditable answers from their data, whether as visualizations or plain-language insights. We are looking for a senior+ level full-stack engineer to help build this experience end to end. This is not about recreating every long-tail feature from legacy BI tools. We are building something lightweight, composable, and understandable by AI. The goal is to help business users, analysts, and data teams move from question to answer faster, while creating a product that is robust, scalable, and delightful to use. You should be excited to work across the stack, move quickly, and make strong product and engineering tradeoffs. The ideal candidate has experience building durable systems at enterprise scale, but is also comfortable operating with startup speed and ambiguity. In this role, you will Build core product capabilities for AI-native dashboards and analytics experiences using JavaScript (React), Go, Java. Drive projects end to end across frontend, backend, architecture, and product details. Partner closely with product, design, and sister teams to deliver cohesive user experiences. Make thoughtful tradeoffs between speed, quality, and long-term maintainability. Help shape technical

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. About the Role As a Senior Solution Engineer at Snowflake, you are the technical trusted advisor to our customers and prospects. You bridge the gap between complex technical capabilities and business outcomes, equally comfortable whiteboarding architecture with a data engineering team and presenting ROI to a CFO. You own the technical win. Responsibilities Lead technical discovery, solution design, and proof-of-value engagements with enterprise customers across all industries Translate complex business requirements into architectures leveraging the Snowflake Data Cloud (data engineering, data science/AI/ML, data sharing, applications, and security/governance) Deliver compelling technical presentations, demos, and workshops to audiences ranging from individual contributors to C-suite executives Partner with Account Executives to drive pipeline, accelerate deals, and close business Serve as the voice of the customer back to Product and Engineering teams Build and maintain reusable assets: demo environments, reference architectures, and solution accelerators Stay current on competitive landscape, industry trends, and emerging capabilities across the data & AI ecosystem Required Qualifications 8+ years of experience spanning multiple disciplines: data engineering, analytics

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. We are looking for world-class Solution Architects to join our Global field teams whose technical skills and customer savvy will help customers understand and utilize the value of the cutting-edge data platform that we are building. They must share our passion about reinventing the data platform and thrive in a dynamic environment. The Solution Architect will work hand-in-hand with Sales, Product, Engineering, and Marketing. In this role you will work directly with the account sales team on a handful of global accounts with GCCs in India to accelerate their Snowflake journey. The Solution Architect will be responsible for providing the technical expertise to make Snowflake customers successful in driving existing projects and uncover new use cases. This data architect will have a broad range of skills and experience ranging from data architecture to ETL/ELT, data science, security, performance analysis, analytics, etc. He/she will have the insight to make the connection between a customer’s specific business problems and Snowflake’s solution, the customer-facing skills to communicate that connection and vision to a wide variety of technical and executive audiences, and the technical skills to be able to not only build demos and execute proof-of-concepts but also to provide

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. We are hiring a Senior Solution Engineer dedicated to one of Snowflake's most strategically important financial services customers. This is a named-account role: your entire focus will be a single global financial institution across capital markets, banking, insurance, or asset management. You will own the full technical relationship, drive use case expansion across business units, and act as the go-to trusted advisor to CTO, CDO, and engineering leadership within the account. This is a senior-level, high-visibility role with global scope and direct exposure to Snowflake's leadership. AS A SENIOR SOLUTION ENGINEER AT SNOWFLAKE, YOU WILL: Own the end-to-end technical relationship for a single strategic Global Account in financial services, from discovery and technical qualification through proof of concept, technical close, and ongoing expansion Build and deliver compelling demonstrations, solution architectures, and executive presentations that connect Snowflake's platform capabilities to the specific data and AI priorities of financial services buyers Design and lead proof of concept engagements covering risk analytics, regulatory data platforms, real-time fraud detection, customer intelligence, and AI/ML workloads in FSI environments Act as a subject matter expert on fina

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. We are hiring a Senior Solution Engineer dedicated to one of Snowflake's most strategically important financial services customers. This is a named-account role: your entire focus will be a single global financial institution across capital markets, banking, insurance, or asset management. You will own the full technical relationship, drive use case expansion across business units, and act as the go-to trusted advisor to CTO, CDO, and engineering leadership within the account. This is a senior-level, high-visibility role with global scope and direct exposure to Snowflake's leadership. AS A SENIOR SOLUTION ENGINEER AT SNOWFLAKE, YOU WILL: Own the end-to-end technical relationship for a single strategic Global Account in financial services, from discovery and technical qualification through proof of concept, technical close, and ongoing expansion Build and deliver compelling demonstrations, solution architectures, and executive presentations that connect Snowflake's platform capabilities to the specific data and AI priorities of financial services buyers Design and lead proof of concept engagements covering risk analytics, regulatory data platforms, real-time fraud detection, customer intelligence, and AI/ML workloads in FSI environments Act as a subject matter expert on fina

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. We are looking for a Senior Solution Engineer who thrives at the intersection of data, AI, and complex enterprise architecture. In this role you will work directly with the sales team and channel partners to understand the data challenges of our customers, strategize on how to navigate winning sales cycles, deliver compelling data-driven demonstrations, and support enterprise Proof of Concepts that showcase measurable business outcomes. As a Snowflake Solution Engineer you must share our passion for transforming how organizations use data — from raw ingestion to real-time analytics to AI-powered applications. You thrive in a dynamic environment, are equally comfortable whiteboarding a medallion architecture with a data engineering team and presenting data ROI to a C-suite, and you bring deep opinions about what good data platform design looks like. IN THIS ROLE YOU WILL GET TO: Present Snowflake's Data Cloud vision to data engineering leaders, analytics teams, data scientists, and executive stakeholders at prospects and customers Lead hands-on technical discovery to map a customer's existing data architecture — pipelines, warehouses, lakehouses, governance gaps — and design a Snowflake-native path forward Build and deliver tailored demos and proof of concepts across Snowfla

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. Site Reliability Engineering at Affirm is a small, yet crucial, team that helps our Engineering partners to “Operate What They Own” with excellence to protect their customers’ experience. SRE accomplishes this through defining frameworks and best practices for operating applications, building tooling, and providing training and consulting. Some of the many SRE responsibilities are: Providing data and visibility to teams and leadership on application performance Guiding the development of SLOs Driving the Incident Management and Analysis process Steering the implementation of Change Management and Deployment practices Engaging in service and architectural conversations Recommending observability and alerting configurations The SRE team benefits from experience across many domains including: infrastructure, platform, and distributed systems capacity management, load and chaos testing automation, observability, and configuration management development and product experience The SRE team is seeking motivated software and systems engineers with the experience to build, iterate on, and expand incident lifecycle, reliability, and resilience practices throughout Affirms Engineering organization and beyond. 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 infrastructure, product management, developer experience & analytics by participating in ideation, articulating technical constraints, and partnering on decisions that properly consider risks and trade-offs. You will proactively identify technical solutions

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. Site Reliability Engineering at Affirm is a small, yet crucial, team that helps our Engineering partners to “Operate What They Own” with excellence to protect their customers’ experience. SRE accomplishes this through defining frameworks and best practices for operating applications, building tooling, and providing training and consulting. Some of the many SRE responsibilities are: Providing data and visibility to teams and leadership on application performance Guiding the development of SLOs Driving the Incident Management and Analysis process Steering the implementation of Change Management and Deployment practices Engaging in service and architectural conversations Recommending observability and alerting configurations The SRE team benefits from experience across many domains including: infrastructure, platform, and distributed systems capacity management, load and chaos testing automation, observability, and configuration management development and product experience The SRE team is seeking motivated software and systems engineers with the experience to build, iterate on, and expand incident lifecycle, reliability, and resilience practices throughout Affirms Engineering organization and beyond. 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 infrastructure, product management, developer experience & analytics by participating in ideation, articulating technical constraints, and partnering on decisions that properly consider risks and trade-offs. You will proactively identify technical solutions

At Vanta, our mission is to help businesses earn and prove trust. We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. As a Senior Financial Systems Engineer at Vanta, you will own the end-to-end health and evolution of the tech stack, data, and system integrations across our Procure to Pay and FP&A verticals, and be a technical lead for procurement, planning, and finance data systems. Vanta's Financial Systems function builds, maintains, and supports the tools that Vanta's Finance & Accounting operate on. The team builds scalable, integrated, and high value solutions that enable Finance, Accounting, and RevOps to move quickly without trading away accuracy or auditability. Vanta's Finance Systems team is early, and Procurement and FP&A have historically had little systems representation. That makes this a rare chance to own foundational decisions rather than inherit them. You will be helping implement our first CPM tool, re-architect Zip end-to-end, and help build the finance data layer in Snowflake that everything downstream will run on, with the autonomy to set the standards the team builds on as we scale. What you’ll do as a Senior Financial Systems Engineer at Vanta: Own the architecture, configuration, and operational health of Zip (P2P) including workflows, integrations, customizations, and agentic buildout Serve as the internal lead implementing Vanta's first CPM tool, working with an implementation partner, and owning the product post-launch Partner with Data/Analytics to design the Finance and Accounting data model in Snowflake, translating FP&A and Accounting requirements into data plans and SQL models Architect and maintain integrations between NetSuite and adjacent systems (Salesforce, Stripe, Anrok, Tesorio, Workato