Senior Data Engineer Jobs

Acuity Scheduling, a Squarespace company, helps appointment-based businesses take back their time, giving clients a seamless way to book appointments while removing the administrative burden that gets in the way of the work that matters. We're looking for a Senior Manager, Business Performance to be the business driver behind our scheduling product's growth story. This is a role for a strategic thinker with enough technical and data fluency to be self-sufficient. You'll define what should be measured, and shape the KPIs that reflect real business health. You'll work across finance, product, marketing, and data and insights to get the story in shape. You won't be working in raw data tables, but you will be the primary voice driving our analytics and data engineering teams to build what the business actually needs to answer its most important questions. This role reports to the Senior Group Product Manager of Acuity Scheduling and is based at our New York City headquarters or remote. You'll Get To... Define what good looks like. Own the KPI and metrics framework for Acuity, working across functions to determine which measures actually reflect business health and customer outcomes. Identify the segments and signals that matter, and drive the work to make them trackable. Own the business narrative. Be the authoritative voice on how Acuity is performing, across subscriber trends, revenue dynamics, and cohort behavior. Go beyond summarizing dashboards to explain what changed, why it matters, and what leadership should do about it. Drive decision-making at the leadership level. Produce the analyses and frameworks that inform weekly business reviews, QBR presentations, and monthly deep-dives for senior and executive stakeholders, working cross-functionally to bring together multiple dimensions into a set of recommendations. Determine what's worth highlighting and shape how it gets communicated. Connect product signals to business outcomes. Take what the data surfaces,

Sr. Data Scientist The team + the role Pendo's GTM Intelligence Team turns data into measurable outcomes across Sales, Marketing, and Customer Engineering. We combine analysis, ML models, and internal tooling to answer high-value business questions and help GTM teams work faster and more effectively. We measure success by the real business value our work creates. As a Senior Data Scientist, you'll own the full lifecycle of intelligence solutions, from problem definition and analysis through model development, stakeholder enablement, and ongoing iteration. You'll work directly with GTM teams to surface high-value business problems and answer them with the right mix of analytics and modeling, translating what you find into decisions that stick. The best person for this role has strong modeling instincts, genuine curiosity about how GTM businesses operate, and the judgment to know when a complex model is the right tool — and when a well-framed SQL query gets you there faster. This role is based in Raleigh, NC and follows Pendo's hybrid model: in-office 3 days per week. What this looks like day-to-day Leverage data analysis, machine learning, and predictive modeling to identify opportunities and mitigate risks for our GTM teams, from problem framing through delivery and ongoing iteration Work collaboratively with data & AI engineers, analysts, revenue operations, and GTM stakeholders to ensure your work is actionable, interpretable, and clearly connected to business decisions Translate model outputs and analytical findings into clear business narratives through slides, write-ups, presentations, and async video Leverage AI-assisted development tools (Cursor, Claude Code) to accelerate delivery and prototype faster, while applying the critical thinking to validate, refine, and own the output Share and build reusable patterns, model documentation, and technical findings with the broader team Answer high-value business questions through analysis and experimentation: dev

About the Team OpenAI’s Agentic Data Science team helps shape how AI agents are built, deployed, and improved across our products. We partner with product, engineering, research, and security teams to define meaningful measures of success, understand how our systems behave in the real world, and translate evidence into better decisions. As AI agents become more capable, they can write and execute code, access sensitive systems, and complete increasingly complex tasks with greater autonomy. These capabilities create powerful opportunities to improve cybersecurity, but they also introduce risks that traditional security tools and processes were not designed to address. Meeting this moment requires new ways to measure security, evaluate defenses, and distinguish genuine risk reduction from friction that slows users down. About the Role We are looking for a senior data scientist to help define what effective cybersecurity looks like in the age of AI agents. You will work across OpenAI’s Security organization and cybersecurity product teams to measure emerging risks, improve internal security controls, and shape AI-powered security products. The problems are foundational: How do we know whether an agent’s security controls are effective? Which safeguards meaningfully reduce risk, and which create unnecessary friction? When an AI system identifies a potential vulnerability, how do we determine whether the finding is accurate, actionable, and ultimately resolved? How do we detect anomalous behavior or risky access when the systems themselves are changing rapidly? You will report into Data Science while partnering closely with Security, Cyber Product, Engineering, and Research. This is a high-ownership role for someone who can establish a new analytical discipline, operate across organizational boundaries, and turn ambiguous security challenges into measurable improvements. In This Role You Will Define how we measure AI-agent security. Establish metrics and evaluation frame

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 We're hiring someone to build the playbook for how we drive practitioner adoption of new capabilities, and bring new practitioners into the platform. You'll pick a segment (data engineers, ML engineers, analytics engineers), pair it with a use case, and figure out what it takes to get practitioners from awareness to activation. That means developing real knowledge of your audience: what they care about, where they spend time, what resonates, and what falls flat. Then working cross functionally to assemble the right assets, sequence them into an exciting journey that leads to adoption, and getting your campaign in front of the right people across owned, paid, in-product, and partner channels. What you're building is a closed loop. Each campaign is instrumented so you can see what actually worked. Did practitioners activate? Did usage stick? How quickly did they find value? Each round of learning makes the next one sharper. The insights you generate don't stay with you; they feed back to marketing, product and account teams to drive broader adoption across organizations. If you want to own the full arc from choosing the audience to designing the playbook to shipping the campaign to building the feedback loops that make it all compound over time, this is that ro

We are expanding our agentic AI capability and are looking for an AI Engineer to join the team. You will work alongside senior engineers to build and maintain AI systems — contributing to agentic pipelines, retrieval infrastructure, and the integrations that tie these systems together. This is a hands-on implementation role with real ownership of components. You will grow your skills in a fast-moving AI practice, working on production systems that directly affect client outcomes. What This Involves: Build and maintain agentic pipelines and workflows under the guidance of senior engineers: tool use, orchestration, and multi-step reasoning. Implement and tune RAG pipelines — including embedding, chunking strategies, vector retrieval, and retrieval evaluation. Contribute to memory and context layer components: integrating vector databases, supporting knowledge graph pipelines, and helping maintain state management across agentic systems. Write clean, well-tested Python code and participate in code reviews. Debug and improve existing AI systems based on evaluation results and production feedback. Collaborate with data engineers and domain experts to integrate AI components with upstream data sources and downstream applications. Document implementations clearly and contribute to shared internal tooling. Requirements: 2–4 years of software or ML engineering experience, with at least 1 year working with LLMs or AI systems in a professional setting. Working knowledge of LLM APIs (OpenAI, Anthropic, or similar) and at least one agentic or RAG framework (LangChain, LlamaIndex, or equivalent). Solid Python skills and comfort with software engineering basics: version control, testing, REST APIs. Familiarity with vector databases or embedding-based search. Curiosity about agentic AI — you follow developments in the space and are eager to apply new techniques. Excellent communication and collaboration skills — comfortable working across cross-functional and client-facing te

Location Details: India, Remote At GoDaddy the future of work looks different for each team. Some teams work in the office full-time; others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely.​ This is a remote position, so you’ll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings. Join Our Team... Here at GoDaddy, the ML Engineering (MLE) team exists as the backbone of our machine learning infrastructure, enabling ML scientists and product teams across Domains to ship models to production reliably, efficiently, and at scale. This team owns the full lifecycle of ML systems — from CI/CD pipelines and model serving infrastructure to GPU workload orchestration and observability. Through disciplined engineering practices, thoughtful system design, and close collaboration with ML scientists, data engineers, and product teams, we deliver the platform that powers domain search, pricing, recommendations, and emerging AI experiences for millions of customers worldwide. We are currently looking for an experienced, highly motivated Senior Engineering Manager to lead our ML Engineering team based in India. This is an established team with existing engineers — we expect the candidate to ramp up quickly on our ML infrastructure stack, build strong relationships with the team, and partner with both India-based teams and US-based teams to drive execution and grow the team further. This individual will join us on our journey to build and scale ML infrastructure that serves real-time predictions at low latency, automates model deployment and promotion, and provides the observability and reliability guarantees that production ML systems demand. Become part of a team that bridges the gap between ML research and production engineering — shipping systems that directly impact GoDaddy's core revenue. What you'll get to do... Lead a team o

Employee Applicant Privacy Notice Who we are: Shape a brighter financial future with us. Together with our members, we’re changing the way people think about and interact with personal finance. We’re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world. *]:pointer-events-auto R6Vx5W_threadScrollVars scroll-mb-[calc(var(--scroll-root-safe-area-inset-bottom,0px)+var(--thread-response-height))] scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]" data-turn-id="request-WEB:8051fca6-7b94-45c4-923b-008b22f4240c-0" data-turn-id-container="request-WEB:8051fca6-7b94-45c4-923b-008b22f4240c-0" data-testid="conversation-turn-2" data-scroll-anchor="false" data-turn="assistant"> The Role: We are looking for a Senior Business Operations Analyst to join our growing Collections Center of Excellence (CCoE) team. This role is a key part of the Business Planning & Analytics (BP&A) organization and will focus on developing data-driven insights, reporting, and operational strategies that improve efficiency and performance across the Collections lifecycle while enhancing the member experience. The ideal candidate is highly analytical, collaborative, and strategic, with strong experience in SQL, Tableau, and operational analytics. This person will partner closely with Operations, Technology, Data Engineering, and leadership teams to support decision-making, optimize processes, and drive business outcomes related to loss prevention and collections operations. This role reports directly to the BP&A MIS Manager and will serve as a senior analyst supporting

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. WHO WE ARE Snowflake delivers the AI Data Cloud, a global network where thousands of organizations mobilize data with near-unlimited scale, concurrency, and performance. Inside the AI Data Cloud, organizations unite their siloed data, easily discover and securely share governed data, and execute diverse analytic workloads. Wherever data or users live, Snowflake delivers a single and seamless experience across multiple public clouds. Snowflake's platform is the engine that powers and provides access to the AI Data Cloud, creating a solution for data warehousing, data lakes, data engineering, data science, data application development, and data sharing. Join Snowflake customers, partners, and data providers already taking their businesses to new frontiers in the AI Data Cloud. snowflake.com WHO YOU ARE Snowflake is seeking a strategic, customer-obsessed Senior Manager, Customer Marketing to own and scale Snowflake's premier co-marketing program that puts our most strategic, iconic customers at the center of our biggest storytelling moments. You are the architect of Snowflake's most visible customer moments: flagship films, marquee keynote appearances, integrated paid campaigns, and web experiences that put our best customers on the world's biggest stages. At the same time, yo

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. SENIOR BRAND DESIGNER- MENLO PARK, CALIFORNIA WHO WE ARE At Snowflake, we are powering the era of the agentic enterprise. Snowflake delivers the AI Data Cloud — a global network where thousands of organizations mobilize data with near-unlimited scale, concurrency, and performance. Inside the AI Data Cloud, organizations unite their siloed data, easily discover and securely share governed data, and execute diverse analytic workloads. Wherever data or users live, Snowflake delivers a single and seamless experience across multiple public clouds. Snowflake’s platform is the engine that powers and provides access to the AI Data Cloud, creating a platform for Data Engineering, Analytics, AI and Apps and Collaboration. Join Snowflake customers, partners, and data providers already taking their businesses to new frontiers in the AI Data Cloud. snowflake.com WHO YOU ARE We’re looking for a well-rounded Senior Brand Designer to join our Brand Design team, reporting into the Sr Manager, Corporate Design. You’ll create across a wide range of brand touchpoints–from events, tradeshows, and keynote presentations to eBooks, global campaigns, and product launches–while supporting the continued evolution of our core brand visual identity and assets. You must be a self-starter with a can-do a

Experience: 7-12 Years Location: Noida / Bangalore Joining: Immediate / Short Notice Preferred About the Role We are looking for a Senior Business Intelligence Analyst who can independently drive insights that influence business performance and product decisions. This role requires strong analytical depth, a clear business mindset, and the ability to understand customer behavior across the product lifecycle. You will work closely with Product, Business, Growth, and Leadership teams to convert data into actionable intelligence, going beyond dashboards to answer why things are happening and what should be done next. Key Responsibilities Own and drive business and product insights across acquisition, engagement, retention, and monetization. Partner with Product and Business teams to define, track, and evolve key metrics and north-star KPIs. Perform deep-dive analyses on customer behavior, funnels, cohorts, and feature usage to identify growth and efficiency levers. Build and maintain dashboards, MIS, and self-serve reports that serve as a reliable source of truth. Support experimentation and A/B testing by defining success metrics and analyzing outcomes. Proactively surface risks, anomalies, and opportunities using data-backed narratives. Collaborate with Data Engineering and Product teams to improve data quality, tracking, and analytical readiness. Translate complex analysis into clear, actionable insights for non-technical stakeholders. Required Skills & Experience 712 years of experience in Business Intelligence / Analytics, preferably in product-led or consumer internet / fintech organizations. Strong hands-on experience with SQL (mandatory); ability to work with large and complex datasets. Experience with BI tools such as Tableau, Power BI, Looker, or similar. Solid understanding of product metrics, funnels, cohorts, and lifecycle analytics. Proven ability to independently structure ambiguous problems and deliver end-to-end insights. Strong communication skills

About Target As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. At Target, we have a timeless purpose and a proven strategy. Some of the best minds from different backgrounds come together to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. Target in India operates as a fully integrated part of Target's global team and supports the company's global strategy and operations. About the team The IT Data Platform (ITDP) team enables data-driven management of Target's technology ecosystem by bringing together trusted data and insights across technology assets, software delivery, infrastructure, reliability, security, engineering effectiveness, and technology operations. The Analytics team within ITDP transforms this data into metrics, analytical products, dashboards, predictive insights, and decision-support capabilities that help technology teams understand what is happening, why it is happening, where risk may be emerging, and where action is needed. The team is building toward an analytics capability that progresses from descriptive and diagnostic analytics to predictive and prescriptive insights, using statistical methods, applied data science, and GenAI where each approach is appropriate. As a Senior Data Analyst for Target's IT Data Platform Analytics team you'll: <p style="co

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 Senior Technical Program Manager Overview Are you a technical program manager who wants to work for a company that offers above and beyond benefits including paid parental leave, flexible work hours, gift matching, and even volunteer incentives? Do you want to work in an inclusive and nurturing culture that encourages your own professional learning and development? At Mastercard, our industry expertise is enhanced by our commitment to being a force for good in the world. We do well by doing good. Our core values of trust, partnership, agility and thoughtful risk taking are displayed in everything we do. Our culture of collaboration and inclusion makes our company the place where the best people choose to be. Come join us! ROLE Mastercard Data and Services (D&S) harnesses the power of Mastercard's transaction data to help Fortune 500 companies make multimillion-dollar business decisions. The D&S Data Delivery team is hiring a Senior Technical Program Manager to lead data integration strategy on some of our technically demanding client engagements. Responsibilities will include: • Proactively manage the end-to-end delivery of data engineering work on one or more client engagements, reporting out progress, ensuring dependencies are covered, overseeing the gaps between teams, processes

About the Team DoorDash’s Internal Audit team provides independent assurance that the company’s risk management, governance, and internal control processes are operating effectively. We are a small team that is looking to expand and bring on motivated professionals. We don’t think of ourselves as a typical audit function - we are obsessively focused on risks to the organizations which reflects in the type of projects we support and execute. DoorDash is rapidly growing - we are expanding in multiple geos and launching new products. This exciting growth allows us to drive creative analysis, strategy, and solutions. Our focus areas include financial, operational, regulatory, security, IT, and more. About the Role We are seeking a Senior Director, IT Internal Audit to lead the strategy, execution and evolution of DoorDash’s global IT audit function. In this highly visible role, you will help shape the technology risk management practices across DoorDash - you will oversee a broad portfolio of audits, including IT SOX, cybersecurity, data governance, AI governance, and operational technology. You will report directly to the Chief Audit Executive and serve as a strategic advisor to DoorDash’s technology, security, and engineering leaders. You will bring deep technical audit expertise, exceptional leadership skills, and a passion for innovation to build and lead a world-class IT audit organization that scales with the business. This role demands someone who can balance strategy with execution (and isn’t afraid to roll up their sleeves) — a leader who can anticipate emerging technology risks, foster strong cross-functional partnerships, translate complex technical concepts into meaningful business insights, and be ready to operate at the lowest level of detail. You will partner with teams across Security, Platform Engineering, Data Engineering, Privacy Legal, AI, Product, and Compliance to strengthen our risk posture and drive a data-driven approach

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Seattle, Washington D.C., Raleigh, London, and Amsterdam. Senior Data Scientist - Network Value (Credit) The Network Value Data Science team is helping Plaid build an industry-leading fintech consumer network with best-in-class products and user experiences. We are a product analytics team embedded in key product areas across Plaid. We support some of Plaid’s most important OKRs and help execute on product roadmaps. We translate ambiguous product questions into tractable analysis, serve as analytical thought partners throughout the org, identify opportunities to build better products, and champion a data-first decision-making approach everywhere we go. You’ll be a Data Scientist supporting Credit, a critical product area within Plaid’s Network Value portfolio. You’ll become a data and analytical thought partner to product managers, engineers, and cross-functional stakeholders, helping shape Credit product strategy, improve product performance and user experience, and grow Plaid’s consumer network. You’ll translate business questions into analytics projects, perform ad-hoc and strategic analysis, improve visibility into core systems through data modeling and dashboarding, create OKRs and KPIs tied to business goals and user experiences, a

#Team Nextdoor Nextdoor (NYSE: NXDR) is the essential neighborhood network. Neighbors, public agencies, and businesses use Nextdoor to connect around local information that matters in more than 350,000 neighborhoods across 11 countries. Nextdoor builds innovative technology to foster local community, share important news, and create neighborhood connections at scale. Download the app and join the neighborhood at nextdoor.com . Meet Your Future Neighbors As Data Scientists at Nextdoor, you will have the opportunity to influence strategic decisions with product analytics, drive better experimentation and build online and offline ML solutions. We use a semi-embedded team structure, with data team members interfacing directly with product and engineering stakeholders. The Data Science group is made up of people from a diverse set of backgrounds and perspectives, trained in fields as wide-ranging as economics, psychology, geography, physics, statistics, and operations research. We are the mathematical decision scientists for the product development organization and play a proactive and collaborative role in building and improving the product. At Nextdoor, we operate in an AI-first environment and expect every team member to actively use AI tools as part of their workflow. We aren't looking for prompt engineers; we’re looking for people who use tools like Claude, Gemini, ChatGPT, and Glean to challenge their own thinking and take full ownership of AI-assisted outputs. We also offer a warm and inclusive work environment that embraces a hybrid employment model, blending an in office presence and work from home experience for our valued employees. The hiring team will go over these expectations with you if you are being considered for a role near one of our offices in San Francisco, Los Angeles, Chicago, Dallas, New York, and London. The Impact You’ll Make As a Senior Data Scientist on the Search team, you will shape how neighbors find the people, places, posts, and business