Lead Data Engineer at Nuna | San Francisco

Nuna is on a mission to revolutionize healthcare accessibility, making high-quality care affordable for all. We are driven by our commitment to addressing one of the nation's most pressing challenges with creativity, innovation, and ethical integrity.At Nuna, we adhere to fundamental principles: a deep understanding of data, the use of cutting-edge technology, and above all, compassion for our fellow humans. Our goal is to discern what truly works in healthcare, identify failures, and understand the reasons behind them.Over the past decade, Nuna has made its mark in the B2B landscape, pushing the U.S. healthcare system toward an incentive model that rewards providers for achieving positive outcomes. Together, we are currently developing an innovative consumer application—a clinically oriented healthcare companion that employs AI, gamification, and social support strategies to enhance outcomes for individuals with chronic conditions.Our impact has been recognized as Nuna has recently been selected to join the Centers for Medicare & Medicaid Services (CMS) Health Tech Ecosystem, a groundbreaking public-private initiative aimed at transforming healthcare for Americans.YOUR TEAMThe Data organization at Nuna consists of a diverse team that includes specialists in data science, machine learning, data analytics, actuarial science, and research.The Data Engineering team serves as the technical backbone of this organization, focusing on data architecture, platform development, and operational workflows, which empowers us to provide impactful, data-driven solutions in healthcare.YOUR OPPORTUNITYWe seek a passionate individual who is eager to leverage their creativity and engineering prowess to effect meaningful change in healthcare. In this foundational role, you will be instrumental in building a consumer product that incentivizes healthy behaviors. You will oversee the data architecture and strategic direction of our data platform, crucial for our data operations and scientific initiatives.Take ownership of the architecture and progression of the data platform, aligning with business needs while considering trade-offs in timing, costs, and resources.Establish and uphold standards for code development, contributions, and deployment within data engineering workflows.Manage integrations with external services, including data ingestion, distribution, and service-to-service data flows.

Nuna works to make high-quality healthcare accessible and affordable for everyone. The team addresses major challenges in the US healthcare system with creative solutions and a strong sense of purpose. Guided by a deep understanding of data, modern technology, and compassion, Nuna aims to discover what truly works in healthcare and why. The company values learning from both successes and setbacks. Over the past decade, Nuna has built a solid reputation in B2B healthcare, helping shift the industry toward rewarding providers for positive outcomes. Drawing on diverse backgrounds, Nuna is now developing a consumer app, an AI-powered healthcare companion designed to support people with chronic conditions through gamification and social features. Nuna was recently chosen to join the Centers for Medicare & Medicaid Services (CMS) Health Tech Ecosystem, a public-private initiative focused on transforming healthcare for Americans. The Design Team at Nuna The design team shapes the character, tone, and visual quality of Nuna’s products. Designers here create experiences that feel intuitive and engaging. In this role, visualization skills and the ability to quickly iterate on ideas are essential, as is working closely with other teams to keep everyone aligned. Product Designers at Nuna blend leadership and hands-on work to improve both design practices and the products themselves. This visible position involves frequent collaboration across functions and calls for empathy with patients’ healthcare and wellness experiences. What You’ll Do This role plays a key part in shaping and launching Nuna’s experiences for patients and providers. Responsibilities include: Designing AI-first, consumer-focused applications and improving patient and provider interactions. Defining clear, compelling experience designs that balance the needs of all stakeholders. Championing user-centered design by using both quantitative and qualitative UX research, along with competitive analysis, to inform product decisions.

At Fastly, we empower individuals to forge deeper connections with the things they cherish. Our cutting-edge edge cloud platform enables clients to swiftly, securely, and reliably craft exceptional digital experiences by processing, serving, and safeguarding their applications as close to their end-users as possible — right at the edge of the Internet. This platform is tailored to leverage the modern internet, is highly programmable, and supports agile software development methodologies. Our clientele includes renowned global brands, such as GitHub, Yelp, Paramount, and JetBlue.Join us in our mission to create a more trustworthy Internet.Posting Open Date: March 13th, 2026Anticipated Posting Close Date*: May 30th, 2026*Job posting may close early due to the volume of applicants.Data EngineerAs part of Fastly's Analytics team, you will empower leaders across the organization with actionable data that drives essential business decisions. We are focused on expanding and enhancing our premier internal data platform. In your role as a Data Engineer, you will play a pivotal part in transforming our data infrastructure, optimizing data pipelines on Google Cloud Platform (GCP), scaling the ingestion of complex data sources, and adhering to best practices for performance and reliability. This is your chance to contribute to significant projects within a dynamic, collaborative, and innovative workspace, supporting data scientists, analysts, and business analysts across our organization.

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 ReductoAt Reducto, we empower AI teams to seamlessly integrate real-world enterprise data with unparalleled precision.Much of the vital enterprise data—from financial reports to healthcare records—remains trapped in unstructured formats like PDFs and spreadsheets. Our innovative vision models enable these documents to be read just as a human would, facilitating product development, model training, and process automation on a grand scale.Having achieved remarkable growth, with a 7x year-on-year revenue increase, we proudly serve hundreds of clients, including top AI teams such as Harvey, Vanta, Scale, and major enterprises like FAANG and leading trading firms.With over $100 million raised from premier investors including A16z, Benchmark, and First Round Capital, we are on the lookout for a talented Lead Product Engineer.The RoleAs our Lead Product Engineer, you will be at the forefront of defining and developing features and platforms that drive our customers' essential business workflows. Collaborating closely with our founders and leadership, your mission will be to make document data accessible to everyone—from developers to non-technical users. You will create a comprehensive suite of products that allows clients to extract the data they need from their documents in the formats they require. Your responsibilities will include developing interactive document editors and intuitive interfaces for managing large datasets. In addition to shaping the product roadmap, you will help foster a culture focused on building outstanding products.

About ArtisanAt Artisan, we are pioneering the development of AI employees—autonomous digital workers that perform real tasks rather than merely serving as chatbots or copilots.Our flagship product, Ava, is an AI Business Development Representative utilized by numerous companies. She autonomously researches leads, crafts and sends emails in a customer’s voice, executes multi-step outbound sequences, manages her own deliverability infrastructure, self-optimizes, and adeptly handles objections and meeting bookings. Ava is not just a tool; she is a vital teammate.As a Y Combinator W24 company, we have successfully raised over $35M from prominent investors and currently boast an ARR exceeding $8M. We are in the process of developing Ava 2.0, which represents a significant leap forward in what is possible with AI employees. The engineering challenges we face are complex, and the potential for innovation is vast.Role OverviewAs the inaugural Data Engineer on our team, you will take ownership of all data-related initiatives at Artisan. You will be tasked with managing a database containing hundreds of millions of leads and generating real-time intent signals that monitor data fields for these leads.Design, build, and maintain scalable data pipelines capable of processing and transforming large volumes of both structured and unstructured data.Oversee data ingestion from third-party APIs, internal systems, and customer datasets.Develop and uphold data models, data schemas, and storage systems optimized for machine learning and product performance.Collaborate closely with machine learning engineers to prepare model-ready datasets, embeddings, feature stores, and evaluation data.Implement robust data quality monitoring, validation, and observability practices.Work in tandem with product engineers to support new features reliant on intricate data flows.Optimize systems for performance, cost-effectiveness, and reliability.Contribute to foundational architecture decisions, infrastructure design, and best practices for data governance and management.Create tools that empower the entire team to access clean, well-structured data seamlessly.Location: San Francisco, New York, or Remote USATeam: EngineeringReports to: CPTO, Sam StallingsWho You AreAt least 3 years of experience as a Data Engineer.Strong proficiency in Python, SQL, and modern data tools (such as dbt, Airflow, Dagster, etc.).Demonstrated ability to work collaboratively in a fast-paced environment.

About AbridgeFounded in 2018, Abridge is dedicated to enhancing understanding in healthcare. Our innovative AI-driven platform is designed specifically for medical conversations, streamlining clinical documentation and allowing healthcare professionals to concentrate on what truly matters—their patients.Our enterprise-grade technology converts patient-clinician discussions into structured clinical notes in real-time, with robust EMR integrations. Leveraging our unique Linked Evidence and auditable AI, we provide the only solution that aligns AI-generated summaries with factual data, enabling providers to trust and verify outputs efficiently. As trailblazers in generative AI for healthcare, we are establishing industry benchmarks for the ethical integration of AI across health systems.We are a dynamic team of practicing MDs, AI scientists, PhDs, creatives, technologists, and engineers committed to empowering individuals and making healthcare more intelligible. Our offices are located in San Francisco's Mission District, New York's SoHo neighborhood, and Pittsburgh's East Liberty.The RoleJoin our rapidly expanding US-based Data Engineering team as a Data Engineer and play a pivotal role in revolutionizing the medical field with our generative AI products. In this essential position, you will design and optimize large-scale data infrastructure to inform business strategies and drive machine learning research.What You’ll DoDevelop and sustain scalable data services, pipelines, and storage solutions for the ingestion of unstructured application data for machine learning training and evaluation.Create and oversee OLAP databases, ELTs, and general data tools to support analytics, business decision-making, and product features.Collaborate closely with frontend and backend engineers, product managers, and analysts.Enhance data infrastructure to improve system throughput, latency, and reliability.Identify and resolve issues detected through data operation monitors, tools, and reports.Design data integration solutions and establish a data quality framework.What You’ll Bring5+ years of experience in Data Engineering or Backend Engineering focused on data systems.Proficiency in at least one general-purpose programming language (e.g., Python, Java, Scala) and SQL (any variant).Experience with at least one modern cloud service provider (GCP, AWS, Azure, etc.).

Join baseten as a Data Engineer and be at the forefront of data-driven innovation. In this role, you will design and implement robust data pipelines, ensuring the efficient processing and analysis of data to empower our products and decision-making processes. Collaborate with cross-functional teams to understand their data needs, while striving for optimization and scalability in data architectures.

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.

Join the Mercor TeamAt Mercor, we are pioneers at the crossroads of labor markets and artificial intelligence research. Collaborating with top AI labs and enterprises, we provide the crucial human intelligence that drives AI development.Our extensive talent network empowers more than 30,000 experts who collectively generate over $2 million a day, training cutting-edge AI models by sharing invaluable knowledge and context that goes beyond mere code. We are dedicated to establishing a new work paradigm where expertise fuels AI progress, and we are looking for driven individuals to join our ambitious and fast-paced team.As a profitable Series C company valued at $10 billion, Mercor emphasizes teamwork in our new San Francisco headquarters, where we work in-person five days a week.Your Role as a Data EngineerWe are seeking a passionate Data Engineer who can bring a full-stack perspective to our data functions. In this role, you will create and maintain robust data pipelines that support our Data Science, Engineering, and Product teams, ensuring seamless data flow across the Mercor organization.Your primary focus will be on data reliability, availability, and timeliness, working closely with our Data Science team and various partner functions to enhance our data capabilities.Key ResponsibilitiesDeveloping robust data pipelines to ingest, transform, and consolidate data from various sources, such as MongoDB, Airtable, and production databases.Designing dbt models and transformations to standardize and unify disparate data tables into clean, production-ready schemas.Implementing scalable and fault-tolerant data workflows using tools like Fivetran, dbt, SQL, and Python.Collaborating with engineers, data scientists, and business stakeholders to ensure data accuracy, availability, and usability.Owning data quality and reliability from ingestion to consumption across the data stack.Continuously monitoring and enhancing pipeline performance and scalability.QualificationsProven experience in data engineering, with strong proficiency in SQL, Python, and modern data stack tools such as Fivetran, dbt, Snowflake, or similar.Experience in building and maintaining large-scale data pipelines and workflows.Strong problem-solving skills and a collaborative mindset, with a focus on effective communication.

About UsTwitch stands as the premier live streaming platform globally, fostering vibrant communities centered around gaming, entertainment, music, sports, cooking, and beyond. Each day, countless communities unite here for diverse experiences.At Twitch, community is at our core. You'll collaborate with enthusiastic colleagues who are driven to solve challenges together. Join us in our mission to empower live communities. Explore our journey on LinkedIn, X, and discover our innovative projects on our Blog. Don't forget to check out our Interviewing Guide to prepare for your interview with us.

Join Hilbert, a pioneering growth engine that leverages data science to provide B2C teams with predictive insights into user behavior, key revenue drivers, and strategies for sustainable growth. Designed for agility, Hilbert condenses lengthy decision-making processes into mere minutes.Trusted by Fortune 10 enterprises and beloved brands such as FreshDirect, Blank Street, and Levain Bakery, our platform is the backbone of their growth strategies. We are also collaborating with leading AI companies to co-create innovative solutions.We are in search of a Lead AI Engineer who is ready to take charge of the technical direction of Hilbert's AI infrastructure, engage in hands-on development of production-grade systems, and enhance our expanding engineering team with a founder's mindset of ownership and urgency.This position is not about managing from afar; you will be actively coding, making architectural decisions, establishing high standards for quality and speed, and cultivating our engineering culture as we grow. You will be the go-to person for navigating ambiguous challenges, high-stakes situations, and uncharted paths. If you possess a deep technical expertise coupled with strong leadership and communication skills, we would love to connect with you.THE ROLEYou will collaborate closely with the founding team and various departments, including product, data, and go-to-market teams to lead the design, development, and continuous improvement of the AI systems that power Hilbert. You will be deeply involved in coding daily while also defining how we approach development, prioritize tasks, and grow the engineering team. Our environment is characterized by high autonomy and ambiguity, which is inherent in building AI-driven products. Requirements may shift, methodologies can evolve, and the individual closest to the issue will often make the pivotal decisions. As the Lead, it is your responsibility to ensure the team is empowered to make those informed decisions effectively.Build: Hands-on, every dayDesign, build, and maintain AI-powered features and pipelines tailored for enterprise customers at scale.Architect and implement agent-based workflows utilizing frameworks such as LangChain or LangGraph.Take ownership of critical systems from experimentation to production deployment and monitoring.Develop and refine evaluation pipelines to assess, validate, and iterate on AI system performance.Make pragmatic engineering decisions in the face of uncertainty; ship, learn, and iterate.Lead: Set direction and elevate standardsDefine and own the technical roadmap for the AI stack in collaboration with the founding team.Make architectural and infrastructural decisions that drive our AI initiatives forward.

Join Hilbert, a pioneering data science-first growth engine that empowers B2C teams with predictive insights into user behavior, revenue drivers, and strategies for sustainable growth. Our innovative platform transforms lengthy decision cycles into actionable insights within minutes.From Fortune 10 corporations to cherished brands such as FreshDirect, Blank Street, and Levain Bakery, teams leverage Hilbert for their growth strategies. We're also collaborating with leading AI organizations to push the boundaries of data science.We are in search of a Lead Data Scientist who possesses a systems thinking approach, deeply understands B2C business challenges, and is capable of developing the models and analyses that drive tangible growth outcomes for major consumer companies — all with the passion and urgency akin to that of a founder.This role transcends the traditional boundaries of data science; you will oversee the entire data science function — from defining problems to model development and measuring business impact — all while working with enterprise clients where feedback loops are rapid and outcomes are critical. If you can articulate the significance of a recommender system to a retailer's profit and loss statement, design adaptable machine learning solutions for various customers, and communicate causal impacts clearly to executives, we want to connect with you.THE ROLEYou will collaborate closely with the founding team, as well as the engineering, product, and go-to-market teams to define, develop, and enhance the data science systems central to Hilbert's operations. Expect to be hands-on daily — building models, conducting analyses, and exploring data — while also establishing scientific direction, ensuring rigor, and expanding the team. Our focus is exclusively on B2C; the challenges we tackle — demand forecasting, customer lifecycle management, personalization, and activation — necessitate a deep understanding of these domains and the ability to translate business context into model architecture decisions. You will thrive in an environment characterized by high autonomy and ambiguity, where data can often be incomplete, messy, or limited.What you'll do:Build — hands-on, every dayDesign and construct machine learning models that drive essential product functionalities: recommendation engines, search relevance, customer segmentation, demand forecasting, and activation strategies.Create configurable, multi-tenant model architectures that can adjust to varying customer contexts, data availability, and business needs without the necessity for complete redevelopment.Develop effective models using available data — focusing on extracting insights from limited, noisy, or sparse datasets.

Airtable is the leading no-code app platform that empowers individuals closest to their work to expedite critical business processes. Over 500,000 organizations, including 80% of the Fortune 100, depend on Airtable to revolutionize their workflows.At Airtable, we are dedicated to democratizing software development—enabling anyone to create powerful, adaptable tools without needing to code. Our transition to an AI-native platform allows customers to generate complete applications and seamlessly integrate AI agents into their operations. Data engineering is pivotal in this transformation, providing the insights necessary for our teams to enhance user experiences, gauge agent effectiveness, and assess business performance on a large scale.As a Data Engineer at Airtable, you will play a vital role in our data engineering initiatives. You'll design and manage essential data pipelines that facilitate informed decision-making, collaborate with company leaders to develop scalable data solutions, and implement innovative alerting and visualization systems.

Join promise as a Data Engineer and play a pivotal role in our mission to harness data for impactful insights. You will design, construct, and maintain robust data pipelines and architecture, ensuring our data systems are efficient and scalable. Collaborate closely with data scientists and business stakeholders to transform raw data into actionable intelligence.

About RoxRox is pioneering an AI-native revenue operating system designed specifically for modern go-to-market teams. Supported by notable investors such as Sequoia, GV, and General Catalyst, we are collaborating with ambitious enterprise teams to transform fragmented CRM workflows into intelligent, autonomous systems. Rox seamlessly integrates data across the GTM stack, deploys AI agents for tangible tasks, and equips revenue leaders with a clear, unified view of the key drivers of success.As a nimble Series A startup, we are challenging one of the most established categories in software—achieving victory through a blend of deep technical expertise and an unwavering focus on utility.About the Solutions Engineering TeamAt Rox, the Solutions Engineering team is not merely a support function; it plays a crucial role in shaping products and defining deals. This team operates at the intersection of Sales, Product, and Engineering, tasked with translating Rox’s technical capabilities into compelling customer value.You will join the foundational team in San Francisco, reporting directly to our Solutions Engineering leader. Working alongside three current Solutions Engineers, you will help establish how this function scales in SF. The practices you develop—such as how we demo, scope, integrate, and sell—will serve as the blueprint for the future of the company.About the RoleThis is a founding-level Solutions Engineer role for individuals who are technical, customer-focused, and passionate about redefining the sales engineering landscape.Your responsibilities will involve engaging directly with live deals: conducting technical discovery, crafting integrations, and leading demonstrations that clearly illustrate how Rox fits within customers’ data and GTM environments. This role transcends mere execution; you will identify inefficiencies in the sales process and implement improvements—enhancing demo experiences, refining technical narratives, and setting higher standards for those who follow.If you thrive on being the go-to person who can delve deeply into technical aspects while simplifying complexity for others, this role is tailored for you.What You’ll DoQuickly become a product expert, gaining deep insights into Rox’s architecture, use cases, and customer workflows.Collaborate closely with Sales to deliver impactful technical demos and support deals from initial contact to closure.Design and articulate integrations across data warehouses, CRMs, AI agents, and contemporary GTM tools.Facilitate technical discovery discussions that uncover genuine customer challenges rather than just stated requirements.Translate complex technical information into easily digestible insights for stakeholders.

At Point, we're redefining the banking landscape by transforming the everyday debit card into a gateway for rewards and benefits. Join our innovative team as we embark on this exciting journey!We are seeking a skilled Data Engineer to lead our data initiatives at Point. In this role, you will be responsible for designing and implementing robust data pipelines and systems that will support the development of cutting-edge algorithms and models. You will have full ownership of our data infrastructure while establishing the groundwork for data engineering practices at Point. Collaborating closely with both the engineering and data science teams, you will play a pivotal role in driving product initiatives and achieving our business objectives. This position reports directly to the CTO.Discover more about Point's vibrant culture and dedicated team here.

At Discord, we're more than just a communication platform. With over 200 million active users each month, we empower communities to connect and engage, especially in the world of gaming. Our platform supports more than 90% of users who love gaming, contributing to an astonishing 1.5 billion hours spent in our environment every month. As we shape the future of gaming, we're committed to enhancing the social experience of gaming by making interactions before, during, and after gameplay seamless and enjoyable.Join Our Team! Discord is on the lookout for a dedicated and innovative Data Engineer to be a pivotal part of our Data team! In this role, you will collaborate extensively with our Data Science and Engineering teams to create and maintain crucial high-leverage datasets that drive our analytical tools, models, and overall strategies. Your contributions will directly influence how we identify opportunities for growth, measure our success, and make informed decisions across various teams, including our safety and growth initiatives. If you are excited about leveraging data to create impactful solutions and thrive in a collaborative environment, we would love to hear from you!

Join Fluency: Pioneering the Autonomous EnterpriseAt Fluency, we are on a mission to revolutionize enterprise intelligence. As an AI Data Engineer, you will be instrumental in constructing the data infrastructure that underpins our innovative solutions. Forget merely connecting dashboards; we are creating robust pipelines that extract, manage, and organize raw data from real-world workflows at an unprecedented scale.We seek an AI Data Engineer who will design and implement data systems crucial for our process conformance, productivity metrics, and AI impact assessment across leading Fortune 500 companies.The Challenge AheadYou will tackle the complexities of handling unrefined, real-world data signals such as screenshots, OCR text, application metadata, and user behavior events. Your goal will be to convert this unstructured data into actionable, reliable insights that our machine learning systems can utilize effectively, all while adhering to strict cost constraints.Core responsibilities include:Designing ingestion pipelines capable of processing millions of daily screenshots and behavioral events.Developing data validation and quality control systems to prevent model corruption due to data drift.Creating feature stores and serving infrastructure that balances data freshness with computational costs.Optimizing storage and querying for time-series behavioral data.Orchestrating intricate directed acyclic graphs (DAGs) that synchronize OCR, large language model (LLM) enhancements, and downstream aggregations.This is a groundbreaking role where you will define the playbook for data engineering in a rapidly evolving environment. Backed by top-tier venture capitalists like Accel, we are experiencing rapid growth and engagement with enterprises worldwide.You will collaborate closely with the founders and our engineering team, tackling technical challenges that encompass data engineering, LLM pipelines, and production systems.

Join Our TeamAt Finix, we revolutionize payment processing, allowing businesses of all sizes to move and make money effortlessly. Our full-stack acquiring processor facilitates billions in transactions annually, offering modern, flexible payment solutions. Whether you’re in SaaS, e-commerce, or marketplace sectors, our no-code and low-code tools empower you to accept payments, manage payouts, and onboard merchants in just hours, not months.Having secured over $175M in funding, including a notable $75M Series C led by Acrew Capital, we have strong backing from prominent investors like Lightspeed Venture Partners and Sequoia Capital.Role OverviewAs a Senior Data Engineer, you will be a cornerstone of Finix’s data ecosystem. You will manage our reporting cluster, ensuring data integrity and crafting tools, frameworks, and pipelines that serve as the backbone of our operations. Your expertise will enable our teams to derive actionable insights from complex datasets, facilitating critical business decisions. Collaborating closely with operations, product, and analytics teams, you will ensure that the right data is available to drive timely decisions for both Finix and our customers.