Senior Data Engineer

Join SoFi as a Senior Software Engineer in our Data Foundations team, where you will play a pivotal role in shaping our data architecture and enhancing our data-driven capabilities. You will work closely with cross-functional teams to develop robust data solutions that empower our business decisions and improve customer experiences.As a Senior Software Engineer, you will leverage your expertise in data engineering, software development, and cloud technologies to build scalable data pipelines and maintain high-quality data infrastructure. Your contributions will directly impact our ability to deliver innovative financial solutions.

About RoxAt Rox, we are pioneering the development of an AI-native revenue operating system that transforms how enterprises interact with technology. Unlike traditional software designed for human dashboard operators, Rox is engineered for agents managing complex systems.We eliminate static workflows, enabling continuous decision-making processes powered by real-time insights from across the enterprise landscape. Our agents are equipped to analyze signals, reason through them, and autonomously execute actions.To support this innovation, we are constructing a robust infrastructure that integrates:Distributed data platformsReal-time decision-making systemsAgent execution frameworksLow-latency context retrievalBacked by prominent investors like Sequoia, GV, and General Catalyst, we are assembling a talented team of engineers eager to tackle deep technical challenges that have a tangible impact on the world.About the Foundations TeamThe Foundations team is responsible for developing the core infrastructure that powers Rox agents.Our work focuses on:Real-time context ingestionAgent execution and orchestrationEnsuring reliability for long-term AI tasksLow-latency decision-making across distributed systemsIf you have experience with:Streaming compute platformsDistributed query enginesReal-time OLAP systemsMatching enginesLarge-scale data infrastructureMany challenges you encounter here will resonate with your past work but will be applied to a novel category of software. At Rox, agents continuously:Retrieve contextMake decisionsTrigger actionsUpdate stateThe Foundations team builds the infrastructure that ensures these feedback loops are reliable, swift, and observable.The RoleWe are on the lookout for a Foundations Engineer (Deep Infrastructure) to design and oversee the systems that power Rox's agent runtime.

About Glean:Established in 2019, Glean is a pioneering AI-driven knowledge management platform that empowers organizations to swiftly locate, organize, and disseminate information throughout their teams. By seamlessly integrating with tools such as Google Drive, Slack, and Microsoft Teams, Glean ensures that employees have timely access to essential knowledge, thereby enhancing productivity and collaboration. Our state-of-the-art AI technology streamlines knowledge discovery, facilitating a more efficient utilization of collective intelligence across teams.Glean originated from Founder & CEO Arvind Jain’s profound insight into the challenges that employees encounter while seeking and comprehending information at work. Witnessing firsthand how fragmented knowledge and a multitude of SaaS tools hindered productivity, he aimed to create an enhanced solution – an AI-powered enterprise search platform that enables rapid and intuitive access to necessary information. Since its inception, Glean has transformed into a leading Work AI platform, merging enterprise-grade search, an AI assistant, and robust application and agent-building capabilities to fundamentally reshape the modern workplace.About the RoleWe are in search of a Software Engineer to become a vital member of Glean’s Data Foundations team—the unit responsible for the comprehensive data ingestion and management layer that powers Glean’s Search, AI Assistant, and Agent offerings across a multitude of enterprise applications and vast quantities of documents.Your contributions will directly influence the quality, timeliness, and reliability of the knowledge that each Glean user engages with daily.Your Responsibilities Include:Ingestion & ConnectivityDevelop and enhance connectors for a diverse array of SaaS and on-premise systems (including Google Workspace, Microsoft 365, Slack, Salesforce, Jira, ServiceNow, GitHub, etc.).Ensure the seamless integration and continuous improvement of data flows to maintain system performance and reliability.

Join LinkedIn as a Tech Lead in our Data Foundations team, where you will play a pivotal role in driving data strategy and enhancing our data infrastructure. Your leadership will guide a team of talented engineers as we build scalable data solutions that empower data-driven decision-making across the company.

About Plaid Plaid builds tools that help developers create new financial products and experiences. Since 2013, Plaid has connected millions of users to over 12,000 financial institutions across the US, Canada, the UK, and Europe. The company partners with organizations like Venmo, SoFi, Fortune 500 firms, and major banks to make linking financial accounts to apps and services easier. Headquarters are in San Francisco, with offices in New York, Washington D.C., London, and Amsterdam. Team: Data Foundation & AI The Data Foundation and AI team designs and maintains the machine learning and AI infrastructure that supports Plaid’s products. This group transforms Plaid’s financial network data into flexible formats used by teams across the company. Responsibilities span the entire system lifecycle: data curation for pretraining, model development, deployment, serving, and monitoring in production. Role Overview: Senior Machine Learning Engineer (Research Scientist) This position focuses on applied research for Plaid’s foundation model. The Senior Research Scientist leads efforts to design model architectures, set pretraining objectives, and implement fine-tuning strategies that work across a range of product needs. The role also involves building and maintaining production machine learning systems, including training pipelines, model serving, feature engineering, and performance monitoring. Key Responsibilities Design model architectures and define pretraining objectives for Plaid’s foundation model Develop and apply fine-tuning methods for diverse product use cases Build and maintain end-to-end machine learning systems, from data pipelines to model serving Engineer features and monitor system performance in production Create evaluation frameworks to measure model quality across multiple tasks and metrics Location This role is based in San Francisco.

Join Storable as a Senior Data Engineer and be a part of our mission to revolutionize the storage industry. Our advanced platform is designed to empower businesses in managing, tracking, and expanding their self-storage operations. We are seeking a skilled Senior Data Engineer to enhance our data-driven team. At Storable, we harness the latest technologies to boost data efficiency, accessibility, and insights, enabling our teams to make informed decisions and foster significant growth. In this role, you will contribute to the development and maintenance of scalable data systems that underpin analytics, reporting, and product innovation. You will collaborate closely with senior engineers and cross-functional teams to ensure our data remains reliable, accessible, and actionable throughout the organization.

Join Us in Revolutionizing Grocery ShoppingAt Instacart, we believe in bringing people together through food, ensuring that everyone has access to their favorite groceries while enjoying quality time with loved ones. Where others see a simple grocery delivery service, we see a complex and exciting opportunity to meet the diverse needs of our community. We are dedicated to providing an essential service that customers trust for their grocery and household needs, while also offering flexible earning opportunities for our Instacart Personal Shoppers.Instacart is a lifeline for millions, and we’re expanding our team to continue pushing the boundaries of grocery shopping. If you're ready to make a significant impact and do the best work of your career, we invite you to join us.Embrace Flexibility with InstacartAt Instacart, we understand that there isn’t a one-size-fits-all approach to productivity. Our team members enjoy the flexibility to choose where they work best—be it from home, an office, or your favorite café—while fostering connections and community through regular in-person gatherings. Discover more about our flexible work philosophy.About Our TeamThe Data Governance & Foundations team at Instacart is responsible for developing and maintaining the foundational systems that drive our comprehensive data ecosystem. This includes managing a modern data lakehouse at scale, encompassing data ingestion, stream processing, analytical computing, and self-service tools. As a part of a collaborative group of 6-7 engineers, you will ensure the reliability of our production platform while architecting the future infrastructure that will sustain our operations for the next 3-5 years.This role offers high ownership and autonomy. You will be tasked with making architectural decisions that have both technical and financial implications, requiring you to lead initiatives rather than just execute them. Collaboration with engineering leaders and cross-functional teams in Data Science, ML Platform, Ads Infrastructure, Finance Engineering, and senior stakeholders will be key to your success.

Join 1upHealth as a Senior Data Engineer and play a pivotal role in enhancing our Core Data Platform. We are looking for innovative thinkers who are passionate about data and technology. Your expertise will help us drive the development of cutting-edge data solutions that empower healthcare providers and improve patient outcomes. In this fully remote position, you will collaborate with cross-functional teams to create scalable data architectures and solutions, ensuring data integrity and accessibility.

Join Leap as a Senior Data Engineer and be a key player in shaping the future of data-driven decision-making. In this role, you will design and implement data solutions that drive analytics and business intelligence initiatives. You will collaborate with cross-functional teams to gather requirements and translate them into scalable data architectures.

Join ICON as a Senior Data Engineer in our Data Intelligence & Systems Architecture (DISA) team, where you will be instrumental in designing, developing, and expanding our enterprise data platform using Palantir Foundry. In this pivotal role, you will oversee the ingestion, modeling, and activation of data that drives reporting, strategic decision-making, and intelligent automation throughout the organization. Rather than merely constructing data pipelines, you will be architecting a Digital Twin for an industrial robotics and construction company. Your collaboration will span across departments including Supply Chain & Manufacturing, Logistics, Engineering Support Services, Software, Field Operations, and Technology R&D. Together, you will centralize high-value data sources, create scalable assets, and facilitate critical business applications, from real-time analytics to AI/ML-enhanced workflows and decision-making processes. This highly technical and cross-functional position is perfect for someone with robust data engineering expertise, a profound curiosity about the business, and a proactive mindset. This role is based at ICON’s headquarters in Austin, Texas, and reports directly to the Senior Director of Operations.

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.

Join Hinge: The Dating App Designed for Lasting ConnectionsIn an age where meaningful relationships are increasingly elusive, Hinge is dedicated to fostering intimate connections that combat loneliness. Our team is passionate about analyzing user behavior to enhance the dating experience, with our ultimate success measured by the number of successful dates we facilitate. With a global user base in the millions, Hinge has become the premier app for those seeking meaningful relationships.Role Overview: As a Senior Data Engineer at Hinge, you will play a vital role in developing key data processes and contributing to a cutting-edge data pipeline that supports our strategic decision-making. Your contributions will not only solve complex challenges but also empower our analytical teams, directly impacting the love lives of countless individuals. You will enhance core functionalities and implement essential data pipelines that serve both the Data Engineering team and the broader organization, all while tackling real-world problems within a big data architecture.

Join Aya Healthcare, a proud recipient of multiple Top Workplace awards! We are in search of a seasoned Senior Data Engineer to become an integral part of our Data Operations team. In this hands-on senior role, you will be responsible for designing, developing, and optimizing high-volume, high-performance data infrastructures and pipelines essential for client integrations. Your expertise will be pivotal in shaping our data architecture, spearheading complex initiatives, and guiding junior team members.This is a unique opportunity to join a dynamic team in a fast-paced environment, where your leadership and strategic insights will have a direct impact on our business outcomes.

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.

At PitchBook, a subsidiary of Morningstar, we are committed to looking ahead. We continually innovate, evolve, and invest in our team to unlock the potential in everyone. Our collaborative spirit and vibrant culture make our workplace both energetic and enjoyable.Our comprehensive learning programs and mentorship initiatives foster a culture of curiosity, encouraging us to seek new solutions and improved methods. In a fast-paced industry with high aspirations, we embrace challenges and ambiguity, thriving when we push our limits. We are open to taking risks, learning quickly from our failures, and striving for excellence.If you bring a positive attitude and a willingness to roll up your sleeves to get things done, PitchBook is the perfect place for you.About the Role:As a pivotal member of our Product and Engineering team, you will collaborate with a group of innovative thinkers and problem solvers who are dedicated to enhancing the positive impact we have on our customers and our organization daily. We prioritize curiosity and the pursuit of better practices, with a strong emphasis on customer empathy in our product innovations.We believe that greatness comes from collaboration and diverse perspectives; hence, we work closely with partners globally. As a team, we assume positive intent, value constructive dialogue, and cultivate a respectful workplace grounded in integrity and growth. We invest significantly in our employees who are eager to learn and evolve. Join us and grow with PitchBook!

Join Ethenalabs as a Senior Data Engineer, where you will play a pivotal role in transforming data into actionable insights. As part of our globally remote team, you will work on cutting-edge data engineering projects that drive innovation and efficiency across various domains.

Founded in 2007 when two hosts welcomed three guests into their San Francisco home, Airbnb has evolved into a global community of over 5 million hosts, facilitating more than 2 billion guest arrivals across nearly every country. Our hosts provide unique stays and experiences, allowing guests to forge authentic connections with diverse communities.Join Our Community:At Airbnb, our Foundational Data team is dedicated to creating and maintaining high-quality datasets that serve as the backbone for various operations across the organization. We establish company-wide standards that define how locations are categorized, how visitor traffic is analyzed, and how cloud costs are allocated. This critical data informs public financial reports, shapes strategic marketing initiatives, and helps manage operational expenses. By working collaboratively with cross-functional teams, you will be positioned to drive substantial business outcomes.Your Impact:As a Senior Staff Analytics Engineer, you will play a pivotal role in shaping our data strategy while providing advanced technical mentorship and leadership to your peers. We seek an individual with a strong background in data modeling, metric development, and experience with large-scale distributed data processing frameworks such as Presto or Spark. Utilizing our state-of-the-art data tools, you will empower both technical and non-technical teams to leverage data-driven insights for informed decision-making. Staff engineers are expected to operate with a high degree of autonomy, and we value innovative thinkers who are committed to finding smarter, more efficient solutions while effectively managing daily operations and meeting deadlines.Daily Responsibilities:Create high-quality data assets that address a diverse range of business needs.Develop frameworks and tools that enhance insight generation to meet essential business and infrastructure demands.Build and nurture strong partnerships with fellow data professionals throughout Airbnb.Influence data-driven decision-making processes.Enhance trust in our data by advocating for quality across the data lifecycle.Contribute to best practices for event logging instrumentation and participate in architectural designs.

About Us: At Carefeed, we empower senior living and long-term care providers with a comprehensive platform that streamlines operations, enhancing the experience for both staff and residents. Our innovative solution replaces outdated paper processes, phone calls, and disparate systems with an integrated digital approach, allowing teams to focus on what truly matters—caring for residents and their families.We seamlessly integrate with existing EHR and HR systems, reducing operational strain while keeping communities organized. Carefeed is designed for ease of use, functionality, and the realities of multi-community care, helping providers maintain efficiency and confidence in their operations.With thousands of communities in the US and Canada relying on us, Carefeed is dedicated to supporting organizations in delivering exceptional experiences for residents, families, and caregivers alike.About the Opportunity: We are seeking a Senior Data Engineer to spearhead the development of our data infrastructure and enhance our developer tools. In this pivotal role, you will design and implement robust data systems, develop tools that improve developer productivity, and create the foundational technology for impactful data-driven products.This position is perfect for an experienced data engineer ready to transition into infrastructure management. Your primary project will involve designing and constructing a central data lake for 2026, alongside the necessary pipelines (e.g., SQS, Kafka) to support it. As the inaugural data engineer at Carefeed, you will play a key role in guiding design and tooling decisions and executing those plans.As part of our Infrastructure team, you will also engage in standard infrastructure tasks, including observability and deployments.

versant3 seeks a Senior Data Engineer based in Orlando. This position centers on shaping data architecture and creating solutions that align with business goals. The Senior Data Engineer plays a key role in designing and maintaining systems that keep data reliable and accessible across the organization. Role overview This role involves working closely with teams throughout versant3 to support projects that depend on strong data foundations. The Senior Data Engineer will help guide the direction of data systems and ensure they meet the needs of strategic initiatives. What you will do Design and implement data pipelines to move and transform information efficiently Maintain data integrity and ensure availability for business use Collaborate with cross-functional teams on projects that depend on robust data solutions