Senior Staff Software Engineer - Data Platforms

Join FloQast as a Senior Staff Engineer, Data, and become an integral part of our technical leadership team. In this role, you will spearhead the design, implementation, and continuous enhancement of FloQast’s core data platform. You will set the standards for data ingestion, governance, storage, processing, and access that empower our product and analytics systems. Your contributions will establish a robust, scalable, and secure data foundation that enables our engineering, product, and business operations teams to thrive.Note: Visa sponsorship is not available at this time.

Form Energy is building new ground in energy storage. Based in Berkeley, CA, the company develops multi-day storage systems that help keep the electric grid stable and reliable, even during long stretches of high demand. Recent recognition includes being named a 'Best Invention' by TIME, a 'Top Climate Tech Company To Watch' by MIT Technology Review, and one of 'The Next Big Things In Tech' by Fast Company. With major utility contracts and iron-air battery production underway at a new West Virginia facility, Form Energy is scaling up to meet the challenge of a cleaner, more resilient energy future. Form Energy’s team values humanity, excellence, and creativity. As battery manufacturing ramps up, the company is adding talented engineers from across the country. Relocation assistance is available for this role. About the Data Platform Team The Data Platform team builds and maintains the cloud-based software and data infrastructure that supports the entire organization. This includes the Snowflake data warehouse, Kubernetes (EKS) clusters, and streaming platforms that process telemetry from deployed products. The team also leads the definition and rollout of Form Energy’s AI platform roadmap. Collaboration spans lab, manufacturing, and field operations teams to generate insights and improve access to data through internal applications and services. What You’ll Do Improve lab, factory, and field data pipelines to meet evolving user needs while maintaining data integrity and reliability. Work with teams across the company to build and optimize internal applications. Shape and deliver on the AI platform roadmap. Location Berkeley, CA (relocation assistance available)

Senior Staff Software Engineer - Data PlatformAbout LadderLadder is revolutionizing the life insurance industry by eliminating unnecessary delays, paperwork, and in-person meetings. Founded by Jamie, who experienced a personal loss at a young age, our mission is to simplify access to life insurance so families can secure their futures. By harnessing the power of real-time underwriting and AI technology, we have transformed the months-long application process into a matter of minutes, garnering over $74 billion in coverage provided. Our user-friendly digital experience is celebrated by clients, as reflected in our glowing Trustpilot and Google reviews.About the RoleWe are seeking a dynamic Senior Staff Software Engineer with extensive experience in building scalable ETL pipelines. You will tackle complex backend and data plumbing issues that connect our transactional systems (Datomic) with analytical and streaming infrastructures (BigQuery, Kafka, Flink, DBT). If you thrive on solving intricate architectural challenges using immutable data structures and functional programming, we want you on our team!

Jobgether is looking for a Staff Data Engineer to join the Platform Engineering team. This position centers on designing and building data processing systems that support the company’s growth. Role overview The Staff Data Engineer will take the lead in developing systems that handle large volumes of data. The main goal is to improve scalability and performance throughout the Jobgether platform. This work is essential to ensure that data flows efficiently and reliably as the business expands. Collaboration Expect to work closely with teams from different areas of the company. The role involves implementing data-driven solutions that help shape key business outcomes and support decision-making across Jobgether. Key focus areas Design and develop data processing systems Enhance platform scalability and performance Collaborate with cross-functional teams to deliver impactful solutions

Join us in creating a safer world, one incident at a time.Ambient.ai is an innovative, AI-driven physical security platform dedicated to enabling leading enterprises to mitigate risk, enhance operational efficiency, and extract crucial insights. Our technology is trusted by seven of the top 10 U.S. tech giants, alongside numerous Fortune 500 companies, all relying on Ambient.ai to modernize their physical security frameworks.Our platform harnesses cutting-edge AI and computer vision technologies to integrate seamlessly with existing camera and sensor systems, facilitating real-time monitoring and proactive threat identification. By reducing false alarms by over 95%, Ambient.ai empowers security teams to concentrate on genuine threats and prevent incidents before they arise.Founded in 2017 and backed by prominent investors such as Andreessen Horowitz, Y Combinator, and Allegion Ventures, Ambient.ai is a Series B company with a vision to make every security incident preventable.Are you eager to explore more? Connect with us on LinkedIn and YouTubeAbout the Role:Reporting to Raghu Nallamothu, the Staff Data Platform Engineer position is a remarkable opportunity to shape the strategic direction of the data platform team. As a foundational member, you will spearhead the design, development, and scaling of advanced data storage and caching systems to petabyte-level capacity, establishing benchmarks for reliability, availability, and performance critical to our operations. You will also play a crucial role in pioneering retrieval-augmented generation systems, setting a new standard for innovative data-driven capabilities at Ambient.ai.Your Responsibilities:Lead the architecture and scaling of our data storage and caching systems to handle petabyte-scale data while spearheading advanced retrieval-augmented generation systems.Create highly efficient caching systems that eliminate latency and ensure rapid data access.Address data infrastructure challenges proactively, swiftly resolving issues to minimize downtime.Drive innovative efforts in retrieval-augmented generation systems, pushing the boundaries of data capabilities.

Role Overview Zocdoc is looking for a Staff Data Platform Engineer to help build and maintain the foundation of our data systems. This role can be based in Silicon Valley, CA or fully remote within the United States. What You Will Do Design and implement scalable data infrastructure to support a range of business needs. Collaborate with engineering, analytics, and product teams to deliver reliable data solutions. Ensure data is accurate, accessible, and secure for teams across the company. Support the development of insights that improve our healthcare platform.

At Forge, we recognize that our team is our most valuable asset. As pioneers in the technology sector of the private market, we envision a future enriched for all. We embody this vision through our core values of boldness, accountability, and humility. Daily, we witness the impact of our vision, assisting the teams that drive the most significant innovations of our time, from space exploration to artificial intelligence, and beyond. With an array of liquidity solutions, exclusive data insights, a custody offering, and a dynamic marketplace, Forge is dedicated to developing a top-tier technology infrastructure that fuels a global private market characterized by transparency, accessibility, and seamless interactions for companies, their employees, and investors. Through Forge, employees can liquidate their private shares, employers can provide pre-IPO liquidity to shareholders, and individual and institutional investors can engage in the growth of private unicorns. Our distinctive global marketplace meets the increasing demand from individual and institutional investors seeking exposure to private company stocks, fostering a growing network effect. Our capability to deliver these impactful financial solutions has sparked remarkable interest from investors, heightened demand from clients, and a pressing need to expand our team to cater to an increasing number of companies, teams, and innovators in this manner. The Role: The platform engineering team at Forge is driven by a passion for innovation and the creation of scalable, secure infrastructure solutions that facilitate liquidity and growth within the private market. Our teams are harnessing a diverse range of technologies to support our core platform, Metal, and we excel in moving swiftly, delivering value, and upholding our principles of being bold, humble, and accountable.We are on the lookout for a dedicated platform engineer with a minimum of 7 years of experience in delivering robust infrastructure solutions that are scalable, secure, and easy to maintain. The ideal candidate thrives in collaborative environments and is driven by the desire to foster success around them through effective communication, architecting exceptional developer experiences, and making informed, data-driven decisions.To thrive in the Staff Platform Engineer position at Forge, you will leverage your infrastructure and software expertise to deliver high-quality platforms both independently and through guiding others. You will have the opportunity to tackle advanced infrastructure projects—from multi-cluster orchestration to automation of SOC 2 compliance—while also being a productive and cooperative member of our team.Location: This role requires 2-3 days a week in office in Soho, NY.

Join Twilio as a Staff Software Engineer (L4) focusing on our Data Platform. In this pivotal role, you will design and implement scalable data solutions that drive our global communications platform. You'll work with cross-functional teams to enhance our data infrastructure, ensuring that it meets the diverse needs of our clients.As a key member of our engineering team, you'll influence product strategy and architecture while mentoring junior engineers. Your insights will contribute to our mission of providing excellent customer experiences through data-driven decisions.

At Forge, we recognize that our team is our most valuable asset. As pioneers in the private market technology sector, we aim to create a brighter future for all. This vision is embodied in our core values of boldness, accountability, and humility. We witness the impact of our vision daily, supporting the teams behind the most remarkable innovations of our era, from space exploration to artificial intelligence, and beyond.With our liquidity solutions, exclusive insights, custody offerings, and a dynamic marketplace, Forge strives to establish a leading-edge technology infrastructure that empowers a transparent, accessible, and seamless global private market for companies, their employees, and investors. Through Forge, employees can liquidate their private shares, employers can reward shareholders with pre-IPO liquidity, and both individual and institutional investors can engage with the growth of private unicorns.Forge's unique global marketplace meets the increasing demand from individual and institutional investors seeking exposure to private company stocks, creating a significant network effect.Our ability to provide these impactful financial solutions has sparked tremendous interest from investors, heightened customer demand, and a pressing need to expand our team to cater to the evolving requirements of more companies, teams, and innovators.The Role:As part of Forge's platform engineering team, you will join a group dedicated to innovation, developing scalable, secure infrastructure solutions that drive liquidity and growth in the private market. Our teams utilize a wide array of technologies to support our core platform, Metal, and we thrive on swift execution, delivering value, and adhering to our values of being bold, humble, and accountable.We are in search of a dedicated platform engineer with a minimum of 7 years of experience in delivering robust, scalable, and secure infrastructure solutions that are easy to maintain. The ideal candidate excels in collaborative environments and is driven by the desire to foster success through effective communication, crafting exceptional developer experiences, and making informed, data-driven decisions.To excel as a Staff Platform Engineer at Forge, you will leverage your expertise in infrastructure and software to deliver high-quality platforms both independently and through technical leadership of others. You will tackle advanced infrastructure projects – ranging from multi-cluster orchestration to SOC 2 compliance automation – while also being an engaged and collaborative team member.Location: This role requires in-office attendance 2-3 days a week in San Francisco, CA.

At Databricks, we are committed to empowering data teams to tackle some of the world's most significant challenges—ranging from revolutionizing transportation to accelerating medical breakthroughs. Our mission is realized through the development and management of the foremost data and AI infrastructure platform, enabling our clients to derive deep insights from their data to enhance business outcomes. Founded by engineers and driven by a passion for customer success, we eagerly embrace each opportunity to confront technical hurdles, from innovating next-generation UI/UX for data interaction to scaling our services across millions of virtual machines. Our journey has just begun.As a Senior Staff Software Engineer, you will be a pivotal member of the executive leadership team within the Data Platform organization. You will utilize cutting-edge AI developer tools and methodologies to construct the Data Intelligence Platform, which will facilitate automated decision-making across Databricks. This role involves collaboration with distinguished Tech Leads, product teams, data scientists, and others. You will shape the future of various tools, including logging, orchestration, data transformation, metric stores, governance platforms, and data consumption layers.

Are you ready to push the boundaries of your capabilities?At Coinbase, our vision is to enhance economic freedom globally. This ambitious endeavor requires our utmost dedication as we develop the future on-chain platform and, consequently, the global financial system of tomorrow.We are in search of a unique individual who shares our passion for this mission and recognizes the transformative potential of cryptocurrency and blockchain technology in revolutionizing finance. We seek someone who is driven to make a significant impact, thrives under pressure, and values constructive feedback for continuous improvement. If you are eager to confront complex challenges head-on, we want you on our team.Our work culture is rigorous and may not suit everyone. However, if you aspire to shape the future alongside exceptional colleagues who demand excellence, look no further.While many positions at Coinbase allow for remote work, we are not exclusively remote. In-person participation is encouraged throughout the year, with multiple team and company-wide offsite events designed to foster collaboration and alignment. Attendance is both expected and fully supported.At Coinbase, our quest for economic freedom necessitates not only outstanding products but also a robust data foundation. The Data Platform team serves as the backbone of Coinbase’s data infrastructure, ensuring reliability, speed, and accessibility at scale. This critical support enables everything from fraud detection and financial reporting to the advanced AI and ML systems that will define Coinbase's future.The RoleWe are seeking a visionary and hands-on Senior Staff Software Engineer to define and steer the technical strategy for Coinbase’s Data Platform. This pivotal role sits at the intersection of distributed systems, data engineering, and AI preparedness, offering a rare opportunity to build significant infrastructure within one of the most influential companies in the crypto space.Reporting to the Senior Director of Engineering for Data Platform, you will take on the role of the domain's foremost technical leader. You will set the architectural vision, mentor emerging engineering talent, drive multi-quarter roadmaps, and play a crucial role in transitioning Coinbase from a collection of managed data services into a scalable, cohesive data platform. This position provides considerable autonomy and is expected to have a far-reaching impact across various cross-functional teams and the broader Infrastructure organization.

Role Overview ServiceNow is hiring a Staff Data Platform Software Engineer with a focus on Graph technologies. This position is based in Santa Clara. What You Will Do Design and build scalable data solutions using graph technologies. Work closely with teams across engineering, product, and operations to improve data architecture. Deliver reliable, high-quality software that supports the ServiceNow platform. Collaboration This role involves regular collaboration with cross-functional groups to develop and refine data-driven features and infrastructure.

Join Us in Revolutionizing the Grocery ExperienceAt Instacart, we believe in sharing love through food, ensuring that everyone has access to their favorite groceries while enjoying quality time with loved ones. Rather than viewing grocery delivery as a mere service, we see it as a complex and exciting opportunity to cater to our community's diverse needs. We provide a vital service that our customers depend on for their groceries and household essentials, while also creating safe and flexible earning opportunities for our Personal Shoppers.Instacart is a lifeline for millions, and we are looking to expand our team to drive our mission forward. If you are eager to contribute your best work and make a meaningful impact, we would love to welcome you to our team.Flexible Work EnvironmentAt Instacart, we embrace a Flex First approach, allowing our team members to choose their optimal work environment—whether from home, an office, or a favorite café—while fostering connections through regular in-person events. Discover more about our flexible work philosophy.Role OverviewAs a Senior Staff Software Engineer, you will be instrumental in the development and enhancement of a sophisticated data platform that meets strategic challenges within the Ads domain and across Instacart. Your responsibilities will include designing and building systems that uphold data compliance standards while improving self-service functionalities for internal stakeholders, all while ensuring data integrity and consistency. By synthesizing varied requirements and collaborating with multiple engineering teams, you will help guide the platform’s strategic vision, promoting alignment and ensuring continuous delivery.You will be part of a dynamic team dedicated to transforming raw data into actionable insights for a diverse range of stakeholders, including advertisers, data scientists, machine learning engineers, and sales teams. The team manages critical systems such as metrics transformation and storage, billing, spam detection, and lift testing, supporting various aspects of Instacart’s data infrastructure. Through this role, you will empower teams across the organization to make informed, data-driven decisions, directly contributing to key business outcomes.

About the RoleJoin our dynamic team at Radiant Industries, where we are committed to revolutionizing our internal data infrastructure, executive analytics, and AI capabilities. As a Staff Data Platform Engineer, you will play a pivotal role in constructing the integrations and pipelines that seamlessly connect our operational systems—Finance, HR, Supply Chain, Manufacturing, and Recruiting—into a cohesive data platform.Your first focus will be the ION-Ramp integration, where you'll build the essential pipeline that facilitates three-way matching (PO + Receipt + Invoice) between our manufacturing execution system and payments platform, significantly reducing manual workloads for our Finance team. From there, you'll extend your efforts to connect nine enterprise systems, create dbt transformation models, and uphold data quality across the platform.What You'll DoBuild Integrations: Configure Fivetran connectors, develop custom pipelines, and link nine enterprise systems (ION, Ramp, QuickBooks, Rippling, Ashby, Salesforce, SharePoint, Smartsheet, DocuSign).Develop the ION-Ramp Pipeline: Construct the Snowflake → Databricks → Ramp pipeline that enables three-way matching for Finance.Write dbt Models: Transform raw data into clean, documented, tested models for dashboards and analytics.Ensure Data Quality: Implement testing, monitoring, and alerting for data pipelines; proactively identify issues before they affect dashboards.Support Dashboards: Collaborate with the PM and stakeholders to ensure data models effectively support Finance, Operations, and HR/Recruiting dashboards.Document Everything: Maintain comprehensive documentation for pipelines, models, and data definitions.

About Quizlet:At Quizlet, we are dedicated to empowering learners to achieve their educational goals in the most effective and enjoyable manner. With our learning platform valued at over $1 billion, we cater to millions of students monthly, including a significant portion of U.S. high school and college students, facilitating over 2 billion learning interactions each month.By integrating cognitive science with cutting-edge machine learning techniques, we personalize and enhance the learning experience for students, professionals, and lifelong learners. Our enthusiasm lies in the potential to support more learners through diverse approaches and tools.Join Us in Shaping the Future of EducationBecome a part of our mission to design and deliver AI-driven learning solutions that extend globally and unlock human potential.About the Team:The AI & Data Platform team is committed to building and maintaining a robust, scalable, and efficient foundation for all data and machine learning operations at Quizlet. This team is the cornerstone of our AI aspirations. As we streamline our AI initiatives to create an integrated and powerful product suite, the platform team’s main focus is on operational excellence. We actively adopt and utilize top-tier MLOps and DataOps technologies to hasten innovation across Quizlet.About the Role:As a Staff AI & Data Platform Engineer, you will spearhead the design and development of Quizlet’s analytical data and machine learning infrastructure, ensuring our platforms are scalable, reliable, and geared for long-term success. You will collaborate closely with cross-functional teams to establish technical direction, guide architectural decisions, and mentor engineers across Data Science, ML Engineering, and Product.This position demands profound technical expertise, strategic insight, and the ability to deliver systems that enhance ML and data innovation at scale. You will gauge success through platform adoption, improvements in reliability, and outcomes related to developer productivity.We are pleased to inform you that this is an onsite position at our San Francisco office. To promote team collaboration, we ask employees to be present in the office at least three days a week: Monday, Wednesday, and Thursday, as well as as required by your manager or the company. We believe that this work environment enhances efficiency, fosters teamwork, and supports both personal and organizational growth.

Luxury Presence is redefining the landscape of real estate technology with our innovative AI growth platform. Supported by renowned investors like Bessemer Venture Partners, we are a Series C company on the fast track to achieving $100 million in annual recurring revenue within the next six months. Over 87,000 real estate professionals, including more than 30% of the WSJ Real Trends top 100 agents in the U.S., rely on our platform to enhance and expand their businesses.About the RoleWe are on the lookout for a Senior Staff Software Engineer to empower our real estate MLS data platform team. In this pivotal role, you will design and implement robust data pipelines and backend services that support:• High-quality MLS and property data sourced from over 400 feeds• Property discovery and search functionalities on agent websites• Personalized listing recommendations and various data-driven features• Conversational and operational AI agents that enhance internal workflows• The evaluation and monitoring framework that ensures continuous improvement of these systemsThis position uniquely blends backend engineering, data infrastructure, and AI-driven products.Meet the Data Platform SquadOur team is dedicated to ensuring that clean, reliable MLS listing records and user click-stream data are consistently accessible for our products and clients. Comprising a blend of data engineers and software engineers, we oversee the entire listing pipeline, including ingestion, transformation, and normalization from 400+ MLS feeds and other data sources.Additionally, we enhance the platform to capture user activity data for features like personalized listing recommendations and develop AI agents that automate feed onboarding and listing issue resolution, minimizing manual efforts for both internal teams and clients.

Join Campus as a Staff Platform Engineer, where you'll play a crucial role in shaping our platform’s architecture and enhancing our technological capabilities. You will collaborate with cross-functional teams to design, develop, and maintain scalable solutions that power our innovative educational initiatives.

At Forge, we recognize that our team is our most valuable asset. As pioneers in technology within the private market, our mission is to create a more prosperous future for all. We embody this mission through our core values of boldness, accountability, and humility. Each day, we witness the impact of our vision as we support the teams driving the most significant innovations of our time, from space exploration to artificial intelligence and beyond.With our liquidity solutions, exclusive data and insights, custody services, and a dynamic marketplace, Forge aims to construct a world-class technology framework that powers a transparent, accessible, and seamless global private market for companies, employees, and investors alike. Through Forge, employees can liquidate their private shares, employers can offer pre-IPO liquidity to shareholders, and both individual and institutional investors can engage in the growth of private unicorns.Our unique global marketplace is designed to meet the increasing demand from both individual and institutional investors seeking exposure to private company shares, cultivating a robust network effect.Our capability to deliver these powerful financial solutions has attracted significant interest from investors and a growing customer base, compelling us to expand our team to better serve more companies, teams, and innovators.The Role:Join Forge's platform engineering team, where our passion lies in innovation and crafting scalable, secure infrastructure solutions that foster liquidity and growth in the private market. Our teams utilize a diverse array of technologies to enhance our core platform, Metal, and we thrive on rapid execution, delivering value, and embracing our principles of boldness, humility, and accountability.We are on the lookout for a dedicated platform engineer with a minimum of 7 years of experience in providing robust infrastructure solutions that are scalable, secure, and easy to maintain. The ideal candidate excels in collaborative environments and is driven to cultivate success through effective communication, designing exceptional developer experiences, and making informed, data-driven decisions.In the Staff Platform Engineer position at Forge, you will leverage your expertise in infrastructure and software to deliver high-quality platforms both independently and through providing technical leadership to team members. You will tackle advanced infrastructure projects, spanning from multi-cluster orchestration to SOC 2 compliance automation, while also being a proactive and collaborative team member.Location: This role is remote based in Denver, CO. We plan to establish an office in Denver, and once operational, in-person presence will be required.

Our MissionAt Reflection AI, our mission is to create open superintelligence and ensure its accessibility for everyone.We are crafting open weight models for individuals, organizations, and even nations. Our talented team comprises AI researchers and entrepreneurs hailing from renowned institutions such as DeepMind, OpenAI, Google Brain, Meta, Character.AI, Anthropic, and more.FoundationsVision:Establish and maintain a comprehensive company-wide foundations platform that empowers every team by delivering dependable, scalable developer infrastructure, Site Reliability Engineering (SRE) capabilities, and high-throughput data ingestion tools, enabling Reflection to accelerate as we grow.What This Team DoesWe are responsible for developing and managing the essential data systems and pipelines that fuel our research, training, and production environments. This platform facilitates rapid experimentation, reliable model development, and scalable production workflows by integrating ingestion, processing, and orchestration throughout the data lifecycle.Design ingestion and orchestration patterns for both batch and streaming data workloads.Construct scalable compute and storage foundations (formats, engines, runtimes) that support extensive data processing.Guarantee reproducible pipelines through versioning, backfills, and isolated execution environments.Deliver trusted data quality, lineage, and governance signals to empower teams in making informed production decisions.Sustain predictable cost and performance through established guardrails, budgets, and ongoing system optimization.Facilitate a unified data layer that supports research, training, and production across the model development lifecycle.About the RoleYou will play a pivotal role in constructing the core data systems and pipelines that drive our research, training, and production environments. Your responsibilities will include designing and implementing reliable, scalable ingestion and orchestration patterns for batch and streaming workloads, developing storage and compute foundations that enable reproducible experimentation and rapid iteration, and establishing data quality and governance standards that teams can rely on for production decisions. You will also provide the foundational data layer that unifies ingestion, processing, and workflow management throughout model development.