Senior Data Engineer - Data Engineering

Join Us in Combating the Escalating Wildfire Crisis with Cutting-Edge AI and IoT Solutions!Every second is crucial in wildfire response. As climate change intensifies wildfires with prolonged seasons, drier fuels, and swifter winds, the speed at which new ignitions spread poses a greater threat to communities. Currently, wildfires are primarily reported by bystanders through 911 calls, leading to delays of hours in detecting, confirming, and responding to fires. To protect lives and property, fire authorities require a more efficient method for fire detection and confirmation.About Pano AI: We are a rapidly growing, hybrid-remote startup based in San Francisco, consisting of over 150 dedicated professionals. Pano AI is at the forefront of early wildfire detection technology, empowering fire professionals to respond swiftly and safely with the right tools, timely insights, and improved coordination. Our platform integrates advanced hardware, software, and artificial intelligence, offering an intuitive web-based interface. By utilizing a network of ultra-high-definition 360-degree cameras installed at strategic locations, along with satellite and other data feeds, we provide real-time situational awareness of threats in a given area, delivering immediate and actionable intelligence.Pano AI is recognized as one of TIME's 100 Most Influential Companies of 2025! Additionally, MIT Technology Review has identified us as one of the top 15 climate tech companies to watch in 2024, and Fast Company included us in their list of the Top 10 Most Innovative Companies in AI of 2023. We've been featured in leading publications like the Wall Street Journal and Bloomberg. Join us in making a difference!

About Matter IntelligenceMatter Intelligence is at the forefront of Vision AI innovation, developing a groundbreaking sensor capable of interpreting molecular chemistry, temperature, and 3D shapes, all powered by an advanced Large World Model. This revolutionary system not only captures visual data but comprehensively understands the nuances behind each pixel. We call it Superintelligent Vision.Join a remarkable team with a proven track record, having delivered technologies to NASA/JPL for Mars missions, co-founding and building infrastructure for OpenAI, crafting state-of-the-art sensors for U.S. Defense, and developing pivotal algorithms for spectral and 3D imaging. Together, we are laying the groundwork for the next generation of vision and intelligence in our physical world.About the RoleWe are seeking a passionate Junior Geospatial Data Scientist to design and sustain processing pipelines and algorithms that convert our satellite's raw hyperspectral imagery into high-quality scientific data products. This role is not solely research-oriented; you will be responsible for writing production-level code that operates at scale, and a solid understanding of the mathematics and physics behind each pipeline component is essential.In collaboration with experienced remote sensing scientists and software engineers, you will execute radiometric corrections, atmospheric compensation, spectral analysis algorithms, and geospatial data transformations. If you have the ability to derive a reflectance equation on a whiteboard and seamlessly translate it into a clean, tested Python module, this opportunity is perfect for you.

Join DoorDash Labs as a GeoSpatial Engineer, where you'll innovate at the crossroads of software engineering and robotics. Utilize your expertise to analyze complex 3D environments, scale our data infrastructure, and visualize vital map data for our fleet operations. If you're passionate about enhancing logistics through cutting-edge technology, we want to hear from you!

Welcome to Planet. We harness the power of space to enhance life on Earth.As the architects of the largest constellation of imaging satellites in history, Planet provides an unparalleled dataset of empirical insights through a groundbreaking cloud-based platform. Our services cater to pivotal sectors including commercial, environmental, and humanitarian domains, merging our identity as both a space and data company.Our clients worldwide leverage Planet’s data to innovate technologies, boost revenue, facilitate research, and tackle some of the world's most pressing challenges.At Planet, we manage every aspect of hardware design, manufacturing, data processing, and software engineering, creating an inspiring workplace filled with specialists from diverse fields.We prioritize a people-centric culture and community, continuously evolving to place our team members first while preparing for our company's growth. Join us in transforming how the world perceives itself through our innovative mission.With a global workforce, our team operates remotely and from various offices in San Francisco, Washington DC, Germany, Austria, Slovenia, and The Netherlands.About the Role:At Planet, our mission is to capture daily images of the entire planet, rendering global changes visible, accessible, and actionable. We stand at a pivotal moment, transforming groundbreaking AI research into a delivery-oriented enterprise product. To this end, we are establishing a dedicated product group to launch the AI Geospatial Assistant, revolutionizing the way our customers interact with global imagery to address critical challenges in forensics and daily change detection.Our objective is to render complex insights user-friendly through an intuitive interface that requires no prior training. Operating with a startup mentality, our team emphasizes rapid learning and customer-driven success criteria, swiftly advancing from private alpha to general availability.As the Senior Engineering Manager, you will lead a dynamic team alongside your product partner throughout this exciting transition. You will manage a high-velocity group of engineers tasked with evolving geospatial AI capabilities into a robust, market-ready product. Your focus will be on operational excellence, defining success metrics, managing project scope, and ensuring our cutting-edge technology evolves into a reliable tool that offers a sustainable competitive edge for our clients.This is a full-time, hybrid role, requiring in-office work at our San Francisco location three days a week.

Mapbox stands as a premier real-time location platform, empowering a new generation of location-aware businesses. Our platform uniquely provides organizations with a comprehensive suite of tools essential for navigating people, packages, and vehicles across the globe. With over 4 million registered developers choosing Mapbox for its flexibility, security, and privacy compliance, companies leverage our applications, data, SDKs, and APIs to craft tailored and immersive experiences that captivate their customers.About the Search Data TeamThe Search Data team is responsible for providing address, place, and points of interest (POI) data for global searches across various countries. This functionality is critical for our clients’ applications, and our team collaborates closely with the Maps and Navigation divisions at Mapbox. We handle batch data from a multitude of sources, utilizing ETL data pipelines to prepare it for our search engines. This work presents diverse challenges, including algorithm development, scalability, and quality assessment. As a Software Development Engineer on the Search Data team, you will engage with vast datasets—hundreds of millions of records—playing a crucial role in developing sophisticated mapping and navigation software for vehicles, web applications, and mobile devices.With AI increasingly integrated into engineering workflows, we seek engineers who can thoughtfully incorporate AI into design, development, and decision-making. Our interview process will include discussions surrounding your use of AI in engineering.

Welcome to Planet Labs. We are dedicated to leveraging space technology to enhance life on Earth.As the architects of the largest constellation of imaging satellites ever created, Planet Labs provides an unparalleled dataset of empirical information through our innovative cloud-based platform. Our impact spans commercial, environmental, and humanitarian sectors, merging our identity as both a space and data company.Our data empowers customers globally to innovate, drive revenue, conduct research, and tackle the most pressing challenges our world faces.At Planet, we manage every aspect of hardware design, manufacturing, data processing, and software engineering, fostering a dynamic environment filled with experts from diverse fields.We prioritize a people-first approach in our corporate culture and community, striving for continuous improvement to support our team members and prepare for future growth. Join us at Planet Labs and contribute to our mission of transforming global perspectives.With a global workforce, our employees work remotely from locations including San Francisco, Washington DC, Germany, Austria, Slovenia, and The Netherlands.About the Role:Planet Labs aims to capture daily images of the entire world, making significant global changes visible, accessible, and actionable. We are at a pivotal moment, transitioning from extensive AI research to a focused delivery model. To facilitate this, we are establishing a new product group dedicated to launching an AI Geospatial Assistant that will revolutionize how our customers utilize global imagery to address critical challenges in forensics and daily change detection.Our objective is to simplify complex insights through an intuitive interface, requiring no user training. Operating with a startup mentality, our team emphasizes rapid learning and customer-driven milestones to efficiently progress from private alpha to general availability.As a Software Engineer, you will play a key role in developing the backend systems that will bring our AI Geospatial Assistant to fruition. While our research teams focus on creating core models, you will be tasked with the 'last mile' of delivery, designing high-throughput backend services, scaling our systems, and ensuring that our workflows operate swiftly, reliably, and cost-effectively on a global scale.This position is full-time and hybrid, requiring you to work from our San Francisco office three days a week.

About UsAt Rox, we are dedicated to empowering individuals to achieve their greatest potential. Our innovative platform enhances sales efforts through autonomous revenue agents, allowing sellers to prioritize their expertise in selling. Just as coding agents transformed engineering, revenue agents amplify customer interactions.We are revolutionizing the revenue stack by developing the world’s first revenue operating system, encompassing everything from the application layer to systems of context. At Rox, we envision a future where humans evolve into orchestrators while agents handle the complete customer lifecycle.Our solutions support Global 2000 leaders across sectors such as banking, construction, and AI, partnering with industry giants like Ramp and Cognition.Our success stems from a united belief in our mission and an unwavering commitment to making it a reality.The TeamOur world-class team is the backbone of our innovative approach to redefining business operations.Our team members have:Founded and successfully exited companiesHeld top roles at Google, AWS, Confluent, and New RelicWon gold medals in international mathematics competitionsPublished groundbreaking research papersWe are proud to be backed by leading investors, having raised $50 million from Sequoia (Alfred Lin), General Catalyst (Hemant Taneja), Google Ventures, Elad Gil, and Chris Ré.Core PrinciplesTaste: Craft beautiful experiences.We meticulously focus on every detail, striving to ensure that each interaction not only helps sellers accomplish their tasks but also enhances their experience. We are relentless in our pursuit of excellence, always exploring new ways to delight our sellers.Obsession: Commit unreasonably.We are dedicated to our craft, responding to customer needs proactively and driving value even before they ask. Our commitment to continuous learning and self-improvement is unwavering.Action: Get it done.Execution is key; we prioritize thoughtful yet swift decision-making and immediate delivery. Trust is essential in our field, and we earn it through our actions.

About RoxAt Rox, we are dedicated to empowering individuals to excel in their work.Our innovative platform enhances seller performance with autonomous revenue agents that handle manual tasks, allowing sales professionals to concentrate on their primary role: selling. Just as coding agents exponentially increased engineering productivity, our revenue agents elevate customer engagement.We are revolutionizing the revenue landscape by developing the world’s first revenue operating system, integrating everything from the application layer to the system of context. At Rox, we envision a future where humans become orchestrators, while our agents efficiently manage the complete customer lifecycle.Rox serves Global 2000 leaders across sectors such as banking, hardware, construction, and sovereign AI, while also supporting prominent AI innovators like Ramp and Cognition.This success is built on a steadfast belief in our mission and an unwavering commitment to achieving it.Join Our TeamOur world-class team is the cornerstone of our success, tasked with redefining business operations.Team members have:Founded and exited successful startupsHeld top positions at Google, AWS, Confluent, and New RelicAchieved gold medals in IMO and IOIPublished groundbreaking research papersWe are proud to be backed by top-tier investors, having raised $50M from Sequoia (Alfred Lin), General Catalyst (Hemant Taneja), Google Ventures, Elad Gil, and Chris Ré.Core PrinciplesTaste: Craft exceptional experiences.Every detail matters; we ensure that each interaction is optimized for the seller’s success and satisfaction. We strive for perfection and continuously seek ways to delight our users.Obsession: Commit without reservation.We are dedicated to our craft, proactively addressing customer needs and constantly improving our skills and products.Action: Deliver results.Execution is key; we prioritize thoughtful, rapid decision-making and immediate delivery, fostering a culture of trust.

About Matter IntelligenceWelcome to Matter, a pioneering company at the forefront of vision AI. We are developing an unprecedented sensor capable of perceiving molecular chemistry, temperature, and 3D structure, integrated with a Large World Model that serves as the most advanced intelligence engine for our physical environment. Our unique system not only captures visual data but also comprehends intricate details from a single pixel—what we refer to as Superintelligent Vision.Join a team with an impressive track record, having provided technologies for NASA/JPL's Mars missions, co-founding and spearheading infrastructure for OpenAI, and crafting state-of-the-art sensors for U.S. Defense. Our collective expertise is dedicated to creating the next generation of infrastructure for vision and intelligence in the physical realm.About the RoleWe are in search of a Senior Geospatial Scientist to spearhead the development of sophisticated algorithms and data pipelines that convert our ultraspectral imagery into actionable insights. This pivotal role merges remote sensing science, machine learning, and scalable cloud infrastructure, effectively transforming raw hyperspectral data into validated, production-ready data products.Your responsibilities will include designing and implementing physics-informed machine learning algorithms, constructing robust AWS-based processing pipelines, and ensuring the scientific integrity of each output—from the sensor physics to the final data products. Your contributions will directly empower Matter's mission to deliver transformative Earth observation capabilities across various industries.Key ResponsibilitiesAlgorithm DevelopmentDesign and implement machine learning (ML) and physics-informed algorithms for hyperspectral data analysis.Develop spectral unmixing, classification, and regression models tailored to diverse geospatial applications.Translate domain-specific science (agriculture, mineralogy, ecology, aquatics) into validated algorithmic methodologies.Utilize modern AI tools to enhance code generation and accelerate problem-solving.Pipeline ArchitectureConstruct and maintain scalable data processing pipelines on AWS for handling extensive geospatial datasets.Architect systems for radiometric correction, atmospheric compensation, and geometric orthorectification.Optimize processing pipelines for efficiency in throughput, latency, and cost management across petabyte-scale imagery.

About UsAt Imprint, we are transforming the landscape of co-branded credit cards and financial products to be more innovative, rewarding, and brand-centric. We collaborate with distinguished companies such as Crate & Barrel, Rakuten, Booking.com, H-E-B, Fetch, and Brooks Brothers to launch contemporary credit programs that enhance customer loyalty, unlock savings, and stimulate growth. Our platform seamlessly integrates advanced payment infrastructure, intelligent underwriting, and a user-friendly experience, enabling brands to offer impactful financial products without the need to operate as a bank.Co-branded cards represent over $300 billion in annual spending in the U.S., yet many are still reliant on outdated banking systems. Imprint stands out as the modern alternative: adaptable, technology-driven, and tailored for today’s consumers. Supported by renowned investors such as Kleiner Perkins, Thrive Capital, and Khosla Ventures, we are assembling a top-tier team to revolutionize payment methods and foster brand growth. If you're eager to work in a dynamic environment, tackle challenging problems, and make a significant impact, we invite you to join us.Our TeamThe Data Engineering team at Imprint is tasked with developing and expanding the data infrastructure that underpins product innovation, analytics, operations, and machine learning throughout the organization. We are responsible for creating the pipelines, platforms, and processes that enable our stakeholders to trust and leverage data effectively.We are seeking a Data Engineer to advance our modern data architecture and deliver dependable, scalable data solutions. Your contributions will directly influence decision-making and innovation across various business areas—from financial operations to real-time personalization.

The OpportunityJoin Enigma at a pivotal moment as we prepare to unveil our next generation of small business intelligence products, informed by years of industry experience. We are in search of a seasoned Senior Data Engineer who will play a crucial role in shaping the future of these innovative products. Your contributions will significantly enhance the accuracy, scalability, and predictive analytics of our data platform, directly impacting our clients' key business strategies.The RoleAs a Senior Data Engineer, your primary responsibility will be to design, construct, and manage our foundational small business data product. You'll work closely with cross-functional teams to develop new product functionalities, starting from raw data sources, through scalable data pipelines and models, to the customer interface. Our culture emphasizes customer focus and complete ownership, measuring your success by the value delivered and the technical excellence of our product.What You’ll DoIdentify and address the unmet needs of our customers through thorough data exploration, prototyping, and evaluation, culminating in the development of robust and maintainable data pipelines.Construct scalable and maintainable data systems that narrate the stories of millions of U.S. small businesses, utilizing tools like Databricks SQL, PySpark, and MLFlow.Leverage our pioneering data infrastructure designed for iterative development and experimentation, utilizing Dagster for orchestration and LakeFS for data version control.Employ a data-driven, first-principles approach to problem-solving, favoring straightforward and elegant solutions while being capable of deploying advanced models and techniques when necessary.Motivate your colleagues to excel while nurturing a collaborative and supportive team environment.What Makes This Role Exciting?Ownership and Impact: Collaborate directly with customers and internal teams to develop product features in a high-trust environment.Technical Challenge: Solve complex data and engineering challenges, balancing innovation speed with scalability and reliability.Learning: Engage with unique, impactful data challenges that demand creative solutions and cutting-edge methodologies.

About Us:At Notion, we empower individuals and teams to create stunning productivity tools tailored to their unique workflows. In a digital landscape crowded with applications and tabs, our platform unifies documents, notes, projects, calendars, and emails—all enhanced with AI capabilities to streamline tasks and provide quick insights. Trusted by millions, including industry leaders like Toyota, Figma, and OpenAI, Notion is chosen for its versatility, helping users optimize their time and resources.We believe in the value of in-person collaboration, making it a cornerstone of our company culture. To foster teamwork, all employees are required to work from our San Francisco office on Mondays, Tuesdays, and Thursdays—our designated Anchor Days. Certain roles may necessitate additional in-office presence.About The Role:As our company expands at an impressive pace, we are on the lookout for skilled Data Engineers to join our finance team. In this role, you will be instrumental in constructing robust datasets and data pipelines that underpin our financial reporting. Your work will bridge our product, financial, and operational systems, creating reliable processes that drive our growth. If you have a passion for data analytics, complex modeling, and innovative problem-solving, we would love to have you on board.What You'll Achieve:Develop essential datasets that act as the definitive sources for Notion’s financial reporting, integrating information from financial systems, business databases, and our product.Collaborate closely with our Finance, Monetization Engineering, Business Intelligence, and Data Science teams to address critical financial analysis and reporting requirements.Design, construct, and oversee data pipelines that not only meet current demands but are also scalable as our data needs grow.Facilitate widespread access to high-quality financial data across the Finance, Staff, and go-to-market teams.Skills You'll Need to Bring:A minimum of 4 years of experience as a data engineer, focusing on building core datasets and supporting various business sectors, particularly in product and high-volume data environments. A strong enthusiasm for analytics use cases, data modeling, and tackling intricate data challenges is essential.Experience in creating integrations and reporting datasets for payment, financial, and business systems such as Stripe, NetSuite, Adaptive, Anaplan, Salesforce, or equivalent.A proactive mindset, with the ability to gather and synthesize high-impact needs from business partners, designing and implementing suitable technical solutions.

Front Careers seeks a Senior Data Engineer based in San Francisco, CA. This position centers on building and maintaining data systems that power analytics and reporting throughout the organization. Key responsibilities Design and maintain data architecture to meet analytics and reporting requirements Develop, optimize, and support data pipelines for reliability and scalability Collaborate with teams across the company to improve data quality, accessibility, and security Enhance and maintain the data infrastructure supporting company operations Role overview This role focuses on ensuring that data flows efficiently and securely, enabling teams to access the information they need for business decisions. The Senior Data Engineer will play a central part in shaping how data is managed and used at Front Careers.

About AlembicAlembic is at the forefront of transforming marketing strategies, demonstrating the actual ROI of marketing initiatives. Our cutting-edge Alembic Marketing Intelligence Platform employs advanced algorithms and AI models to address this longstanding challenge effectively. By joining our team, you'll contribute to the development of tools that deliver unparalleled insights into how marketing influences revenue, empowering a growing roster of Fortune 500 companies to make data-driven decisions with confidence.About the RoleIn your role as a Senior Data Engineer at Alembic, you will play a crucial role in our data platform. You will be responsible for creating scalable and dependable data pipelines, optimizing storage solutions, and facilitating both real-time and batch analytics. Collaborating closely with data scientists, software engineers, and product leaders, you will design and implement robust data architectures that propel our mission forward.Key ResponsibilitiesDesign, develop, and maintain scalable ETL pipelines that efficiently ingest, process, and transform extensive volumes of structured and unstructured data.Optimize data storage solutions utilizing modern data lakehouse architectures and industry best practices to enhance cost-effectiveness, performance, and reliability.Collaborate with data scientists and engineers to seamlessly integrate machine learning models and analytical workloads into production environments.Ensure the integrity, quality, and security of data by implementing monitoring, alerting, and governance best practices.Work with cloud-based data warehouses and distributed data processing frameworks to support our data initiatives.Continuously assess and implement innovative technologies to enhance data infrastructure and operational efficiency.What We’re Looking For10+ years of experience in data engineering, software engineering, or a related field.Strong proficiency in SQL and Python for data processing.Experience with contemporary data warehousing and lakehouse solutions (e.g., Iceberg or similar).Expertise in distributed systems and big data technologies (Apache Spark, Hadoop, Kafka, Flink).Hands-on experience with cloud platforms (AWS, GCP, Azure) and related data services.Deep understanding of data management and governance practices.

About UsAt Imprint, we're on a mission to revolutionize co-branded credit cards and financial products, creating smarter, more rewarding experiences that prioritize brand identity. We collaborate with industry leaders like Crate & Barrel, Rakuten, Booking.com, H-E-B, Fetch, and Brooks Brothers to design innovative credit programs that enhance customer loyalty, unlock savings, and stimulate growth. Our cutting-edge platform seamlessly integrates advanced payment solutions, intelligent underwriting, and user-friendly design, enabling brands to offer powerful financial products without the need to become a bank.Co-branded credit cards represent over $300 billion in annual expenditure in the U.S., yet many are still rooted in outdated banking systems. Imprint stands as the modern alternative: adaptable, technology-driven, and designed for today’s savvy consumers. Supported by prominent investors such as Kleiner Perkins, Thrive Capital, and Khosla Ventures, we are assembling a world-class team to reshape payment methods and drive brand growth. If you're eager to work in a fast-paced environment, tackle challenging problems, and make a significant impact, we want to hear from you!Discover more about our innovations on Imprint's Technology blog.Our TeamThe Data Engineering team at Imprint is pivotal in constructing and scaling our data infrastructure, which underpins product development, analytics, operations, and machine learning throughout the organization. We manage the pipelines, platforms, and processes that empower our stakeholders to trust and utilize our data effectively.Your RoleAs a Senior Data Engineer, you will be responsible for designing and implementing our data platform, addressing our most challenging technical issues. You will lay the groundwork for Imprint's upcoming decade of growth by scaling our infrastructure for rapid expansion, providing insights that inform multi-million dollar decisions, facilitating secure partner data sharing, and transforming how our teams leverage data. Join us in building a platform that not only meets today's demands but also anticipates future opportunities.Key ResponsibilitiesInfrastructure Development & ScalingDesign and optimize our next-generation data platform, leveraging tools such as Snowflake, dbt Cloud, and real-time CDC pipelines for enterprise-level scalability.Create secure and compliant partner data delivery systems utilizing Snowflake shares, S3/SFTP integrations, and Marketplace listings.Develop critical financial reporting pipelines ensuring exceptional accuracy and reliability.Pursue Technical ExcellenceImplement best practices in data engineering, ensuring robust data governance and security.Collaborate with cross-functional teams to enhance data accessibility and usability.

Join Laurel as a Staff Data Engineer, where you will play a pivotal role in designing and implementing scalable data solutions. You will collaborate with cross-functional teams to optimize data architecture and enhance data analytics capabilities.

Join our innovative team at alljoined as a Data Infrastructure Engineer where you will play a pivotal role in shaping our data architecture and ensuring the reliability and efficiency of our data systems. You will collaborate with cross-functional teams to design and implement scalable data solutions that empower data-driven decision-making.

About Us:At Notion, we empower teams to create stunning tools tailored for their unique workflows. In a digital landscape filled with countless applications and tabs, Notion stands out as the singular platform where teams can consolidate their efforts—effortlessly merging documents, notes, projects, calendars, and emails, all enhanced with AI to expedite processes and uncover insights. Our diverse user base, ranging from individuals to giants like Toyota, Figma, and OpenAI, appreciates Notion for its versatility, efficiency, and cost-saving capabilities.Collaboration is at the heart of Notion's culture. To foster this, all team members are required to work from our offices on Mondays, Tuesdays, and Thursdays, which we refer to as Anchor Days. Certain teams may have additional in-office requirements.About The Role:As Notion experiences rapid growth, we are on the lookout for skilled Data Engineers to join our dynamic team. Your role will involve constructing foundational datasets and pipelines that bolster our go-to-market initiatives. You will play a pivotal role in integrating our product and business systems, establishing robust processes that drive our success. If you have a passion for analytics, data modeling, and unraveling intricate data challenges, we would love to have you on board.What You'll Accomplish:Develop core datasets that serve as the authoritative sources for Notion’s marketing and sales reporting, ensuring seamless data flow between business systems and our product.Collaborate closely with our Marketing, Sales, Revenue Operations, Business Technology, Business Intelligence, and Data Science teams to fulfill critical reporting and analysis needs.Design, implement, and oversee pipelines that address current demands while being capable of scaling alongside our expanding data landscape.Promote accessibility to high-quality data across go-to-market teams, staff, and the organization at large.Required Qualifications:Minimum of 3 years of experience as a Data Engineer, focusing on building core datasets and supporting various business verticals, particularly in high-data-volume product and business environments. A strong enthusiasm for analytics, data models, and solving complex data challenges is essential.Proven experience working with Marketing and Sales datasets within a SaaS context, including integrations with business systems such as Salesforce, Netsuite, Marketo, and Zendesk.Self-motivated individual who proactively gathers and synthesizes impactful business needs, designing and implementing effective data solutions.

Embrace the Future of Commerce with Whatnot!Whatnot stands as the premier live shopping platform across North America and Europe, dedicated to enabling users to buy, sell, and discover their passions. We are transforming e-commerce by merging community engagement, shopping, and entertainment into a unique experience crafted just for you. Operating as a remote co-located team, we thrive on innovation and are deeply rooted in our core values. With operational hubs in the US, UK, Germany, Ireland, and Poland, we are collaboratively shaping the future of online marketplaces.From fashion and beauty to electronics and collectibles like trading cards and comic books, our live auctions offer a diverse range of products for everyone.And we’re just getting started! As one of the fastest growing marketplaces, we are on the lookout for innovative, forward-thinking problem solvers to join our expanding team. Stay updated with the latest from Whatnot through our news and engineering blogs and help us empower individuals to turn their passions into thriving businesses while fostering community through commerce. Role OverviewData plays a pivotal role in Whatnot’s mission to unite people through commerce.As our newest Data Engineer, you will design and enhance the systems that facilitate data-driven decision-making across the organization. You will collaborate directly with stakeholders from various departments, including product, sales, marketing, finance, and trust teams, to create resilient data architectures, develop robust pipelines, and establish foundational data products that drive Whatnot’s growth, both internally and externally.On any given day, your responsibilities may include:End-to-End Data Architecture Ownership. Define our approach to capturing, modeling, and serving critical business data, implementing solutions in production. You will make key architectural decisions regarding storage formats, computing patterns, and SLAs that balance cost, scalability, and consistency.Development of Mission-Critical Pipelines. Design and maintain streaming and batch data workflows that handle high-volume events across various domains—user engagement, transactions, experimentation, marketing performance, and operational telemetry—while ensuring low latency, completeness, and accuracy.Canonical Model Design and Implementation. Develop domain-oriented data models that serve as the backbone for our analytics and reporting needs.