Lead Data Engineer

Located in San Francisco, Arine is an innovative and rapidly expanding healthcare technology and clinical services firm dedicated to delivering the safest and most effective treatments tailored to the evolving needs of individuals.In the healthcare landscape, medications can sometimes do more harm than good. The mismanagement of drugs and dosages results in over $528 billion wasted annually in the U.S. healthcare system. Arine is transforming healthcare standards by addressing these challenges through our advanced software platform (SaaS). We leverage state-of-the-art data science, machine learning, AI, and deep clinical knowledge to create a patient-centered approach to medication management, facilitating the development and delivery of personalized care plans at scale for patients and their healthcare teams.At Arine, we are passionate about enhancing the lives and health of complex patients who significantly influence healthcare costs and have been historically difficult to reach. These individuals face a myriad of challenges, including complex medication prescriptions across various providers, chronic disease medication management, and barriers to accessing care. Supported by top healthcare investors and partnerships with leading healthcare organizations, we provide actionable recommendations and initiate clinical interventions that yield substantial health improvements for patients and cost savings for our clients.Why Choose Arine as Your Workplace?:Collaborative Team Culture - Our shared mission drives our collective efforts, inspiring us to excel in our work. We are passionately committed to the innovation necessary to lead in medication intelligence.Impactful Contribution to Healthcare - We are saving lives and empowering individuals to achieve better health outcomes.

As a Lead Engineer specializing in Data and Integrations at onoshealth, you will play a pivotal role in driving innovation and improving healthcare solutions through effective data management and system integrations. You will lead a team of talented engineers, oversee complex projects, and work closely with stakeholders to ensure the delivery of high-quality solutions that meet our clients' needs.

Join HockeyStack, where we are revolutionizing B2B sales and marketing through advanced AI systems.We seamlessly integrate with a multitude of tools across the go-to-market stack, merging first and third-party data to create the industry's most comprehensive event-level data foundation. Our capabilities include:Analyzing every deal won and lost to uncover revenue-driving patterns, enabling real-time guidance for sales representatives.Identifying key factors influencing the sales pipeline, providing immediate insights without the need for extensive manual analysis.Learning from every outcome and interaction, continuously improving our system's performance and accuracy.Unlike others, our structured reasoning layer ensures deterministic and self-improving agent execution. As a Y Combinator alum with a $26M Series A led by Bessemer Venture Partners, we are experiencing rapid growth with an 8-figure ARR and over 60 TB of GTM data processed. We are looking for dynamic individuals ready to succeed. This position can be based in our San Francisco HQ or be fully remote. Your MissionAs the Backend Tech Lead for the Data API team, you will design and scale our core API infrastructure, which is critical for Marketing, Sales, and Customer Success operations. You will oversee the engineering of services that manage over 60 TB of GTM data, ensuring the delivery of low-latency, high-availability APIs that provide valuable buyer insights to our internal applications and customer-facing dashboards.This is an exceptional opportunity for an engineer eager to take ownership of large-scale data and API infrastructure while fostering engineering excellence and rapid deployment in a fast-paced environment. What You’ll DoLead the design and development of APIs to share GTM data with both internal and external users.Oversee the architecture for large-scale data access patterns, focusing on performance, cost-effectiveness, and reliability.Work closely with AI, data, and frontend teams to ensure smooth integrations and clear API contracts.Address complex challenges including versioning, rate-limiting, authentication, query complexity, and cache invalidation in a rapidly evolving product landscape.

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.

Join Anthropic as a Data Center Design Execution Lead, where you will play a pivotal role in spearheading the design and implementation of cutting-edge data center projects. Your expertise will help shape the infrastructure that supports our innovative AI development. We are looking for a proactive leader who thrives in a fast-paced environment and is passionate about delivering high-quality solutions.

Join parafin as a Finance Data Lead, where you will play a pivotal role in shaping data strategies that drive financial decision-making. You will collaborate with cross-functional teams to enhance data accuracy, integrity, and accessibility, ensuring our financial models are grounded in reliable data.Your expertise will guide the implementation of data analytics tools and methodologies, helping us to extract valuable insights from our financial datasets. If you are passionate about data management and thrive in a fast-paced environment, this is the opportunity for you!

As a Lead Data Analyst at Collective Health, you will play a pivotal role in driving data-driven decision-making across the organization. Your expertise will influence strategic initiatives and enhance our offerings, ensuring that we deliver exceptional healthcare solutions. You will lead a team of analysts, collaborate with cross-functional teams, and utilize advanced analytical tools to derive actionable insights from complex datasets.

Join our dynamic Analytics team at DoorDash, where we are seeking an innovative Senior Lead Data Scientist to spearhead the exploration and interpretation of complex data sets. This pivotal role will help shape our global platform expansion strategies, driving informed decisions across all facets of our organization.About the TeamThe Analytics team is dedicated to leveraging advanced analytical methodologies to inform strategic initiatives and operational decisions. As a Senior Lead Data Scientist, you will play a crucial role in transforming insights into actionable strategies that contribute to DoorDash’s success.About the RoleIn this role, you will delve into intricate data analyses to tackle significant business challenges, devise and implement experiments based on your findings, and collaborate with cross-functional teams to enact meaningful operational changes. Your expertise will be crucial in enhancing our marketplace efficiencies, optimizing customer acquisition, and addressing fraud prevention among other exciting challenges.If you thrive on identifying patterns in data chaos, possess a passion for building impactful market strategies from the ground up, and have a proven track record of employing analytics to drive revenue and operational growth, we want to hear from you!Your ImpactLead and mentor a team of Data Scientists in uncovering vital business insights while also contributing as an individual expert.Shape the Product and Operations roadmap with data-driven recommendations.Engage with senior leadership to present your team's findings and address complex business challenges.Establish measurement strategies for your area, defining key performance indicators and best practices in experimental design and statistical analysis.Craft a strategic learning roadmap informed by data insights, key questions, and hypotheses.QualificationsA Master’s or Ph.D. in Mathematics, Physics, Statistics, Economics, Computer Science, or a related field.8+ years of experience in Data Science, with a focus on product analytics and operational strategies.Proficiency in statistical tools and programming languages such as Python, R, or SQL.Strong analytical mindset with a demonstrated ability to solve complex problems using data.Excellent communication skills with the ability to convey complex findings to non-technical stakeholders.

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.

Join mercor as a Healthcare Data Partnerships Lead in San Francisco, where you will play a pivotal role in forging strategic partnerships within the healthcare data landscape. Your expertise will drive innovation and improve healthcare outcomes through data collaboration. You will work closely with cross-functional teams to identify opportunities for leveraging data partnerships, ensuring compliance with industry standards while maximizing data utility.

Join Our Team at RoxAt Rox, we are pioneering the AI-native revenue operating system designed specifically for modern go-to-market teams. Supported by influential investors such as Sequoia, GV, and General Catalyst, we are collaborating with dynamic enterprise teams to transform fragmented CRM workflows into intelligent, autonomous systems. Our platform seamlessly connects data across the GTM stack, employs AI agents that execute real tasks, and provides revenue leaders with a clear, unified understanding of the elements that drive success.As a nimble Series A startup, we are taking on one of the most established categories in software, and we are succeeding by merging deep technical expertise with an unwavering focus on practical value.About the Growth TeamThe Growth team at Rox is a critical function that operates at the intersection of Sales, Product, Marketing, and Data, dedicated to converting insights into action. This team is responsible for identifying areas of potential leverage, creating scalable growth systems, and executing strategies with speed and accuracy.Currently, our Growth Strategy team is actively engaged with five talented individuals driving pipeline growth, experimentation, and go-to-market execution. This role is designed to lead that team, elevate performance standards, and expand both strategic initiatives and team capabilities.About the RoleWe are looking for a Growth Strategy Lead who can not only lead by example but also build a strong team around them.In this role, you will take charge of a five-member Growth Strategy team, setting the strategic direction, mentoring team members, and ensuring that every initiative directly contributes to revenue growth. Collaborating closely with the Chief Growth Officer, you will act as a strategic partner in shaping priorities and scaling Rox's go-to-market efforts.This is an active leadership position. You will be hands-on in designing growth strategies, validating concepts, and stepping in as needed, while also establishing the systems, processes, and team dynamics required to maintain sustainable growth.If you thrive in a role that encompasses both strategic oversight and tactical execution, and you desire true ownership over your work, this position is tailored for you.Key ResponsibilitiesLead and oversee a team of five Growth Strategists, establishing clear objectives, priorities, and expectations.Collaborate directly with the Chief Growth Officer to develop and implement Rox’s growth strategy.Design, launch, and refine go-to-market initiatives focused on pipeline creation, activation, and expansion.Translate product features into actionable growth strategies and replicable playbooks.Work collaboratively across Sales, Product, Marketing, and Data to ensure execution alignment.

About UsSieve is an innovative AI research laboratory dedicated exclusively to video data. We leverage exabyte-scale video infrastructure and cutting-edge video understanding techniques to create expansive datasets that advance the field of video modeling. With video comprising 80% of internet traffic, it has become a crucial digital medium that drives creativity, communication, gaming, AR/VR, and robotics. Sieve exists to address the critical challenge of providing high-quality training data, which is essential for the growth of these applications.As a testament to our success, we have partnered with leading AI labs and achieved significant revenue growth, generating $XX million last quarter with a compact team of just 15 professionals. Our Series A funding last year was secured from top-tier firms including Matrix Partners, Swift Ventures, Y Combinator, and AI Grant.About the RoleIn your role as the Data Operations Lead, you will be responsible for the daily execution and expansion of Sieve's data operations platform. This position is a blend of operational and semi-technical responsibilities. You will oversee our human workforce, enhance quality assurance processes, manage talent sourcing and onboarding, and spearhead product operations initiatives aimed at optimizing our platform's efficiency. A key focus of this role will be on growth; you will implement campaigns and experiments to broaden the platform's user base, identify new sourcing channels, and drive user adoption. This position is ideal for individuals who are both creators and optimizers—capable of engaging deeply with tools while also strategically considering how to scale complex operational systems.What You'll DoOversee and scale Sieve's internal data operations platform, which includes workforce management, task assignments, and quality assurance workflows.Drive growth initiatives for the platform by executing acquisition campaigns, testing new sourcing channels, and creatively expanding the user base.Recruit, onboard, and manage a distributed human workforce dedicated to data annotation, curation, and quality review processes.Develop and enhance quality assurance processes to guarantee that data outputs align with the standards required by leading AI laboratories.Lead product operations for the data platform by collaborating with engineering teams to implement tooling improvements, track operational metrics, and identify inefficiencies.Create comprehensive documentation, standard operating procedures, and training materials to support the operational framework.

Key Responsibilities:Serve as a pivotal member of the leadership team, shaping strategy and vision for the organization.Establish the functional and research roadmap to drive business growth.Guide, mentor, and expand the data science team, fostering professional development.Utilize high-quality, diverse datasets from Fortune 500 companies to extract actionable insights for our clients.Design, prototype, and refine innovative architectures in Natural Language Processing (NLP), including Dual-Encoders, Retrieval-Based Ranking Engines, and Generative Models.Establish thought leadership in the industry by sharing insights through blogging and speaking engagements at conferences.

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.

In an era where software is increasingly integrated with artificial intelligence, Scale AI stands at the forefront of this transformation. Our mission is to revolutionize how individuals interact with AI, enhancing human capabilities and redefining productivity. Our groundbreaking products, including the Generative AI Data Engine and SGP, empower leading enterprises and organizations to harness the power of AI through large language models (LLMs) at an unprecedented scale.As part of our innovative Platform Engineering team, you will play a pivotal role in designing and developing robust data storage, streaming, caching, and indexing systems that are essential for our AI solutions. This position offers a unique opportunity to engage with cutting-edge technologies and contribute to the evolution of AI in various sectors, including enterprise, government, and technology.

Join Shield AI as a Senior Lead Data EngineerAt Shield AI, we are on a mission to safeguard both service members and civilians through the power of intelligent systems. As a leading venture-backed deep-tech company founded in 2015, our innovative products, including the V-BAT and X-BAT aircraft, Hivemind Enterprise, and Hivemind Vision product lines, are making a global impact. With operations spanning the U.S., Europe, the Middle East, and Asia-Pacific, our technology is pivotal in supporting missions worldwide.As a Senior Lead Data Engineer, you will play a crucial role in developing a cutting-edge financial enterprise reporting and analytics platform for our complex, R&D-intensive, multi-billion-dollar organization. Your responsibilities will encompass architecting and implementing secure, scalable, and cost-efficient data systems within Microsoft Fabric, enhancing Finance, FP&A, Accounting, Program Management, and Executive reporting.This position transcends traditional ETL development. You will take charge of cloud architecture decisions, establish data modeling standards, integrate advanced analytics readiness into the platform, and ensure our systems are designed with auditability, governance, and scalability in mind. Collaborating within a lean team, you will bridge engineering, analytics, and applied data science to drive significant impact.Your efforts will establish the foundation of a mission-critical analytics platform that informs executive decision-making, improves forecast accuracy, ensures compliance reporting, and facilitates scalable AI adoption. The impact of your work will resonate throughout the organization, directly influencing cost control, capital allocation, and operational insight.

About UsZeta Global (NYSE: ZETA) is a cutting-edge AI-Powered Marketing Cloud that utilizes advanced artificial intelligence (AI) alongside trillions of consumer signals to enhance the efficiency of customer acquisition, growth, and retention for marketers. Our vision, delivered through the Zeta Marketing Platform (ZMP), is to simplify sophisticated marketing by integrating identity, intelligence, and omnichannel activation into a unified platform, supported by one of the industry's largest proprietary databases and AI. Our enterprise clients across diverse sectors can personalize consumer experiences on an individual level across all channels, driving superior results for marketing initiatives. Founded in 2007 by David A. Steinberg and John Sculley, Zeta Global is headquartered in New York City with a global presence. For more information, visit www.zetaglobal.com.Job OpportunityAt Zeta Global, identity forms the backbone of our marketing cloud. The Identity team is responsible for creating and managing backend services that drive the Zeta Identity Graph, which involves collecting, resolving, and maintaining billions of behavioral, demographic, and transactional signals. These services facilitate large-scale people-based marketing, ensuring trust and transparency in identity data management while providing critical APIs and event streams utilized across Zeta's platform. Our infrastructure supports over 235 million consumer profiles and processes billions of events monthly, necessitating services that are highly available, low-latency, and scalable.We are seeking a Lead Software Engineer who excels in both backend distributed systems and data engineering. In this pivotal role, you will design APIs and event-driven services, enhance our systems to accommodate rapidly increasing data volumes, and modernize our platform for resilience, transparency, and optimal performance.Key Responsibilities:Design and implement backend services and APIs for identity resolution, graph transparency, and integrations.Develop and optimize event-driven pipelines and workflows that process billions of signals.Deploy and maintain cloud-native services on EKS/Kubernetes, utilizing Helm for consistent deployments.Ensure reliability, observability, and scalability of services and data pipelines.Collaborate with engineering, product, and data teams to deliver comprehensive identity solutions.Mentor and guide engineers to elevate team capabilities.

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.

At Plaid, we envision a future where financial interactions are seamless and intuitive. We are committed to driving this evolution by crafting innovative tools and experiences that empower thousands of developers to build their own applications. Our platform supports millions of users in achieving healthier financial lives by connecting their financial accounts with the apps and services they love. Collaborating with industry leaders like Venmo, SoFi, numerous Fortune 500 companies, and major banks, Plaid's extensive network encompasses over 12,000 financial institutions across the United States, Canada, the UK, and Europe. Established in 2013 and headquartered in San Francisco, we also have offices in New York, Washington D.C., London, and Amsterdam. #LI-HybridAs a Senior Data Engineer, you will play a pivotal role in our Data Engineering team, which is focused on developing robust golden datasets to enhance our insights-driven product offerings. Data-driven decision-making is at the heart of Plaid's culture, and your expertise will help us scale our data systems while ensuring data accuracy and integrity. You will provide essential tooling and guidance to various teams across engineering, product, and business, enabling them to access and utilize data effectively. Our engineers rely heavily on SQL and Python to create data workflows, employing tools such as DBT, Airflow, Redshift, ElasticSearch, Atlanta, and Retool for orchestrating data pipelines and defining workflows. Collaborating closely with engineers, product managers, business intelligence, and data analysts, you will contribute to shaping Plaid's data strategy and fostering a data-first mindset. We thrive on an engineering culture that values individual contributions, encouraging bottom-up ideation and empowering our talented team. We seek engineers passionate about making a meaningful impact for our users and customers while growing together as a cohesive team, delivering MVPs, and continuously improving our processes.In this high-impact position, you will empower business leaders to make faster, more informed decisions based on the datasets you create. You will have the opportunity to define the ownership and scope of internal datasets and visualizations across Plaid, an area we aim to develop further by establishing SLAs. This role presents a unique chance to enhance your technical skills and learn best practices from our strong Data Engineering team and the broader Data Platform team. You will collaborate extensively across all teams at Plaid, from Engineering to Product to Marketing and Finance, forging strong cross-functional partnerships.