Software Engineer II (Backend + Data pipelines)

About Our Organization:Welcome to Scribd Inc. (pronounced “scribbed”), where our passion lies in igniting human curiosity through storytelling and knowledge-sharing. We invite you to join our dynamic team as we work towards democratizing the exchange of ideas and empowering collective expertise with our innovative products: Everand, Scribd, Slideshare, and F…

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.

At Scribd, Inc., we aim to enhance human understanding. Our innovative products—Scribd®, Slideshare®, Everand™, and Fable—empower billions globally to not just access knowledge, but also to apply it and achieve expertise.Company CultureWe foster an environment where our employees can be authentic and courageous, engaging in constructive debates while embracing unexpected challenges. Every team member is encouraged to take initiative, prioritizing customer needs.We understand that optimal performance arises from a mix of personal flexibility and meaningful community interaction. Our Scribd Flex program allows team members to choose their working style and location, while still emphasizing in-person collaborations that enrich our culture. Attendance at occasional in-person events is necessary for all employees, regardless of their location.We seek team members who embody “GRIT”—a blend of passion and perseverance towards long-term objectives. This ethos informs our approach to setting and achieving Goals, delivering impactful Results, fostering Innovation, and enhancing our Team dynamics through collaboration.This posting represents an open position within our organization.About Our Team:Our ML Data Engineering team is responsible for metadata extraction, enrichment, and content comprehension across all Scribd offerings. We handle hundreds of millions of documents and billions of images, providing high-quality metadata to facilitate content discovery and trust for millions of users worldwide.Operating at a massive scale, our systems support diverse datasets, including user-generated content (UGC), ebooks, audiobooks, and more. We collaborate closely with applied research and product teams to deploy scalable machine learning and large language model (LLM)-powered solutions in production.Role Overview:We are looking for a Software Engineer II with robust backend development expertise and a keen interest in addressing complex data challenges at scale. You will design, build, and optimize distributed systems that extract, enrich, and process metadata for a variety of content. This role involves close collaboration with ML engineers, product managers, and cross-functional teams.

Join us at datacurve as we innovate a gamified developer platform that empowers thousands of engineers to create high-fidelity datasets, advancing the frontiers of large language models (LLMs). In this pivotal role, you will oversee the entire technical lifecycle of our data pipelines—from collaborating with partner labs to establish new data formats, to delivering the essential tools, environments, documentation, and quality assurance processes that bring these formats to life at scale.Key ResponsibilitiesLead Projects End-to-End: Take ownership of projects from initial prototyping through to ongoing maintenance and iterative improvements based on user feedback.Oversee Developer Experience Pipelines: Develop and prototype tools for capturing new data formats, transitioning to a production workflow, and refining the developer experience.Champion Developer Experience: Produce clear and concise guidelines and documentation to empower our contributors and ensure the quality of project inputs.Quality Assurance & Governance: Establish and manage quality standards for your projects, which includes training content reviewers to ensure data consistency and accuracy. Implement automated checks, evaluation harnesses, and workflows to meet data quality benchmarks.Continuous Improvement: Monitor systems, troubleshoot issues, and enhance reliability, latency, and contributor success rates.Occasional ResponsibilitiesDefine Innovative Data Formats: Collaborate with frontier lab researchers to create specifications and design schemas, metadata, and versioning for new formats.Develop Tools and Environments: Deliver tools, sandboxes, command-line interfaces (CLIs), and instrumentation to streamline contribution processes.

Sales Engineer - Developer-FocusedAs a Sales Engineer at Firecrawl, you will collaborate closely with Account Executives and Founders to assist technical stakeholders — including engineers, data scientists, and AI/ML leads — in comprehending how Firecrawl addresses their most challenging web-data issues. In this pivotal role, you will conduct product demonstrations, develop prototypes, tackle complex technical inquiries, and ensure that every prospective client experiences that critical 'aha moment' when they realize how seamlessly Firecrawl's API integrates into their workflow. This is a high-impact position where you will shape product direction, contribute to integration designs, and define how Firecrawl is leveraged across engineering teams.Compensation: $120,000–$220,000/year OTE (This range applies to U.S.-based employees in San Francisco, CA. Compensation for positions outside the U.S. will be adjusted fairly based on local living costs. Explore our calculation methodology here.)Equity: Up to 0.10%Job Type: Full-Time (SF) OR Contract (Remote)Experience Required: 3+ years or equivalent experience in delivering technical solutionsVisa Requirements: U.S. Citizenship/Visa required for SF; N/A for Remote candidates.About FirecrawlFirecrawl is revolutionizing web data extraction, providing developers with a reliable solution to convert URLs into LLM-ready markdown or structured data with a single API call. In just one year, we have achieved an annual recurring revenue of over 8 figures and garnered more than 80,000 GitHub stars by creating the fastest means for developers to access LLM-ready data.Our agile, technically proficient team is dedicated to building essential infrastructure that super-intelligence will utilize to gather data from the web. We prioritize rapid deployment and deep technical solutions.Your ResponsibilitiesCollaborate with the Sales team to facilitate technical evaluations and discovery calls.Conduct product demonstrations and proofs of concept: create and present technical walkthroughs and lightweight prototypes to demonstrate product value.Analyze customer use cases, identify where Firecrawl fits, and illustrate the transition from unstructured web data to structured, LLM-ready output.Gather and synthesize insights from the field to inform the product team on prioritizing roadmap items.Enhance API documentation, develop sample projects, and contribute to internal training resources.Translate technical challenges into actionable product enhancements.

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.

Join our dynamic team at Sonsoft Inc. as an ETL Developer where you will play a crucial role in designing and implementing data integration solutions using Talend. You will collaborate with cross-functional teams to ensure high-quality data processing and optimization.

Role overview Oura Health seeks a Senior Data Engineer for its Data & ML Platform team. This hybrid role is based in San Francisco, California. The focus is on designing and building data solutions that enable machine learning projects and enhance analytics across the company. What you will do Create and maintain data architecture to support analytics and machine learning efforts Develop and refine ETL processes and data pipelines Work closely with teams throughout Oura Health to strengthen data-driven decision making Handle data modeling and data warehousing to ensure systems scale and perform reliably Requirements Proven experience building and maintaining data platforms for analytics and machine learning Strong background in data modeling, ETL, and data warehousing Interest in health technology and a desire to create impact through data Comfort working with cross-functional teams

About Air AppsAt Air Apps, we embrace the philosophy of thinking bigger and moving faster. Founded by a family in Lisbon, Portugal in 2018, we are dedicated to revolutionizing the way individuals plan, work, and live through the world’s first AI-powered Personal & Entrepreneurial Resource Planner (PRP). With offices now in both Lisbon and San Francisco, we've achieved over 100 million downloads globally while remaining self-funded.Our commitment to long-term innovation drives us to challenge conventional approaches daily, expanding the possibilities of AI-driven solutions that make a meaningful impact. Here, you will be a critical creative force, shaping products that empower users around the world.Join us on this transformative journey to redefine resource management and positively influence lives.

Join our innovative team at Pinterest as a Senior Data Scientist in the Core division. We're looking for a data-driven professional who is passionate about leveraging data analytics and machine learning to enhance user experience and drive business outcomes. At Pinterest, you will collaborate with cross-functional teams to develop data models and insights that influence strategic decisions.

Join Pinterest as a Manager II in Data Science and play a vital role in shaping our data-driven strategies. Lead a talented team of data scientists to leverage analytics and machine learning, driving impactful insights that enhance user experience and business outcomes.In this position, you will collaborate cross-functionally with engineering, product management, and marketing teams, ensuring that analytics is deeply integrated into our decision-making processes.

Employee Applicant Privacy NoticeAbout Us:Join us in shaping a brighter financial future.At SoFi, we are transforming how individuals engage with their personal finances. As a next-generation financial services company and national bank, we leverage cutting-edge, mobile-first technology to empower millions of members in achieving their financial goals. Amidst significant industry changes, we are proud to lead the way and positively impact lives through our core values. Become a part of our journey to invest in yourself, your career, and the financial landscape.The Role:We are looking for a Fraud Model Developer to join our Lending Business Insights and Data Science team. This role will involve collaborating closely with SoFi’s Product, Engineering, and Finance teams.The successful candidate will work to enhance our application funnels through experimentation, analyze product usage across various member segments, and facilitate data-driven strategic decision-making. We are seeking an individual who is innovative, hands-on, possesses a strong sense of ownership, and is dedicated to delivering results while also mentoring and developing team members. We value a commitment to continuous learning and growth.

Join our client as a Marketing Systems Developer to empower the online marketing team with advanced data, reporting, and analytics solutions. In this pivotal role within the Marketing Systems team, you will engage in both long-term project initiatives and quick wins, utilizing agile methodologies to support the business and analytics teams in deriving profound insights. This position is integral to the development and management of Marketing Analytics solutions, including SAS (in a Linux environment) and Hadoop.The ideal Marketing Systems Developer will leverage extensive expertise in SQL, SAS, and Hadoop to conduct comprehensive data profiling and discovery, design processes, create meaningful datasets and reports, and integrate data from various sources such as DB2 and Oracle.This role is detail-oriented, demanding precision in capturing and translating data requirements (both tactical and analytical) along with validating and verifying the functional solutions. The Marketing Systems Developer collaborates closely with Analytics team members, Product Managers, Business Analysts, Data Analysts, and Report Developers in a dynamic team environment.

At PitchBook, a subsidiary of Morningstar, we embrace innovation and growth. Our commitment to personal and professional development fosters an environment where collaboration and enthusiasm drive our success.We offer extensive learning programs and mentorship that cultivate a culture of curiosity, encouraging our team to discover new solutions and improve our processes. Navigating a dynamic industry comes with its challenges, but we thrive amidst ambiguity, taking calculated risks and learning from each experience on our journey toward excellence.If you possess a proactive attitude and a willingness to dive into challenges, PitchBook is the perfect place for you.About the Role:The Sales Development team at PitchBook plays a crucial role in fostering growth through strategic partnerships with Account Managers and Business Development Representatives. This team is dedicated to expanding our existing client relationships and generating new sales opportunities, focusing on both non-client and former client accounts. Operating within a collaborative pod structure, our team ensures effective pipeline creation and progression that contributes to revenue growth and stronger client connections.

Join our innovative team at tsmg as a Drone Pilot, where your expertise will be pivotal in the development and training of cutting-edge AI models. Your primary focus will be on enhancing computer vision, sensor fusion, and autonomous navigation technologies. We are looking for a seasoned professional who can capture high-quality data in real-world environments, significantly contributing to the refinement of AI algorithms that underpin autonomous systems.In this role, you will operate state-of-the-art drones to gather critical data for training and validating AI models that facilitate autonomous navigation, object detection, and advanced decision-making capabilities.

About DecagonDecagon stands as a pioneer in the conversational AI landscape, empowering brands to craft exceptional concierge customer experiences.Our innovative technology enables leading enterprises, including Avis Budget Group, Block’s Cash App and Square, Chime, Oura Health, and Hunter Douglas, to implement AI agents that facilitate personalized and enriching interactions across diverse channels such as voice, chat, email, SMS, and more.We envision a future where customer experiences are transformed from mundane support interactions to swift resolutions, engaging conversations, and meaningful relationships. Proudly backed by a consortium of world-class investors, including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, we share a unified vision for innovation.As an in-office organization, we are united by a commitment to excellence and speed. Our core values — Just Get It Done, Invent What Customers Want, Winner’s Mindset, and The Polymath Principle — guide our teamwork and growth.About the Role:In the role of Director of Data & Analytics, you will spearhead the establishment of a top-tier data team that drives strategic decision-making through insightful analytics. Your contributions will significantly shape how data is collected, structured, and utilized across the organization. Collaborating closely with executives, Product, Engineering, GTM, and G&A teams, you will uncover significant trends related to strategic initiatives, product analytics, and overall business performance. This unique opportunity allows you to create modern, scalable analytics systems and develop impactful data insights for a rapidly evolving team.Your Responsibilities Include:Overseeing business intelligence reporting across the organization, including the development of dashboards to monitor ongoing KPIs and performing ad-hoc analyses to explore critical questions.Collaborating with cross-functional teams to grasp business priorities and orchestrate the data pipeline necessary for delivering essential data-driven insights.Assisting in the design and tracking of OKRs, visualizing data, and analyzing performance to ultimately influence strategy and roadmaps.

Join Sonsoft Inc. as a Big Data Architect and play a pivotal role in shaping our data-driven solutions. We are seeking a talented professional who will design and implement robust data architectures that support our analytics and business objectives. You will work closely with cross-functional teams to build scalable data pipelines and ensure data integrity across our platforms.

Join our innovative team at Sonsoft Inc. as a Big Data Architect, where you will play a pivotal role in architecting and implementing cutting-edge data solutions. You will leverage your expertise in big data technologies to design scalable, high-performance data architectures that drive business intelligence and analytics. This is an exciting opportunity to work with state-of-the-art tools and technologies in a collaborative environment.

Join Sonsoft Inc. as a Big Data Architect in the vibrant city of San Francisco. We are looking for an innovative and experienced professional to lead our data architecture initiatives. In this role, you will design and implement scalable data solutions that empower our clients to make data-driven decisions.

Join our dynamic team as a Lead Data Scientist at brisk-teaching, where you will spearhead innovative data-driven projects that empower learners and educators alike. In this pivotal role, you will leverage your expertise in statistical analysis, machine learning, and data visualization to derive actionable insights from complex datasets.