Data Engineer - Machine Learning Platform & Data Foundations

Komodo Health is looking for a Senior Data Engineer to strengthen its data foundations. This fully remote role in the United States centers on building and maintaining the systems that support data-driven work across the company. Role overview This position focuses on designing, developing, and maintaining data pipelines and infrastructure. The goal is to ma…

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.

At Riot Games, our engineers possess a wealth of expertise in specialized technical areas while also embracing the opportunity to engage across diverse domains. As Software Engineers, we utilize both emerging and established technologies to devise innovative solutions that tackle high-volume challenges and enhance player satisfaction. In your role as a Senior Software Engineer within the Data Foundations team, particularly focusing on Data Experiences and Automation, you will have a significant impact on how Riot collects and leverages data to enhance experiences for both players and Rioters alike. Collaborating closely with product partners and technical leads, you will enhance data consumption and reporting capabilities while creating solutions that streamline the development lifecycle for data engineers and insight analysts throughout the organization. You will be instrumental in facilitating advancements and rapid iterations in Machine Learning and GenAI pipelines. Your experience with globally distributed systems will be invaluable as you collaborate with fellow software engineers to design efficient solutions. You will report directly to the Engineering Manager of the team.

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.

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 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.

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.

Join our dynamic team at Aofl as a Senior Data Engineer. In this pivotal role, you will leverage your extensive expertise in data engineering to build robust data pipelines, optimize data architectures, and ensure seamless data flow across multiple platforms. You will collaborate with data scientists, analysts, and other stakeholders to transform raw data into actionable insights that drive strategic decision-making.

Join Credera as a Senior Data Engineer and play a key role in transforming data into actionable insights. You will work closely with cross-functional teams to design and implement data solutions that drive business success. Your expertise will contribute to building scalable data pipelines and optimizing database systems.

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.

For over three decades, Angi has been at the forefront of the home services sector, creating a dynamic platform where homeowners and professionals thrive through quality work.Homeowners can reliably connect with skilled professionals, while our partners benefit from a robust platform that helps them secure meaningful work opportunities. We are committed to fostering a workplace that our employees are proud to call home.Angi Overview:Originally founded in 1995 as Angie’s List, rebranded in 2021A global enterprise with 9 brands across 8 countries and a diverse workforceTrusted by homeowners for over 300 million home projects and countingTeam Overview:We are looking for a Senior Data Engineer to join our Data Infrastructure team. This role is pivotal in building and maintaining the core platforms that facilitate data processing, storage, and analytics across the organization. You will focus on enhancing our lakehouse architecture, data replication systems, and orchestration frameworks to ensure scalable, reliable, and efficient data workflows.This position is remote, but we prefer candidates located in the Eastern Time Zone to align with our team's working hours.

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 WagmoWagmo is redefining pet health by empowering responsible pet parenting through exceptional benefits offered by employers. We provide innovative, tech-enabled solutions that ensure pet parents can confidently care for their pets, from daily needs to unexpected emergencies.Our ValuesAt Wagmo, we tackle complex challenges while enjoying the company of dogs. We cherish authenticity, efficiency, and accountability, prioritizing performance and fair compensation over egos. Our core values guide our actions and decisions, and we actively integrate them into our work culture.Role OverviewWe are seeking a Senior Data Engineer to design and enhance our data infrastructure, fueling Wagmo's growth. You will construct and maintain robust data pipelines, architect our data warehouse, and collaborate with various departments to ensure accurate data flow throughout the organization. Your hands-on experience with Python, SQL, and modern data tools will be crucial in upholding data quality and governance while delivering solutions swiftly.In this role, you will convert ambiguous business challenges into sustainable technical solutions, mentor emerging data professionals, and contribute to building a resilient data foundation as we transition from startup to scale.Our Technology Stack: BigQuery · dbt · Fivetran · Python · GCP · GitHub · Tableau · Slack · Notion · ClaudeKey ResponsibilitiesDesign, develop, and manage scalable ETL/ELT pipelines and data warehouse architecture using BigQuery. Own the infrastructure end-to-end and evolve it to meet business demands.Define and implement data models and dbt transformations that adhere to best practices, ensuring thorough testing and robust documentation.Maintain data quality and reliability through validation, monitoring, anomaly detection, and comprehensive data contracts and lineage documentation....