Staff Data Engineer

Supported by prominent Silicon Valley investors, Peregrine Technologies empowers public safety organizations, state and local governments, federal agencies, and private-sector entities to tackle societal challenges with unmatched speed and precision. Our AI-driven platform transforms isolated and disparate data into operational intelligence, swiftly revealing mission-critical information that facilitates improved decision-making at every level. Currently, Peregrine serves hundreds of clients across more than 30 states and two countries, impacting over 125 million individuals, and we are expanding our reach into the enterprise sector and internationally.TeamOur engineering team is dedicated to creating empathetic solutions. We prioritize understanding how users interact with our product, which guides us to the best outcomes. Our engineers collaborate closely on-site to grasp the diverse use cases that Peregrine supports.We are in search of a Data Governance Engineer to join our core engineering teams. Our challenges range from enabling real-time user collaboration on detailed maps to constructing scalable backend architectures capable of processing billions of data points.The Data Governance team is responsible for developing services, systems, and product features that assist our clients in managing their data assets throughout their entire lifecycle within the Peregrine platform. We ensure secure, fine-grained data access and auditing controls.RoleAs a software engineer on our expanding team, you will have significant ownership across our technology stack. Your role will involve architecting and building the next generation of our core access control and governance systems, which manage access to over 7 billion data points on Peregrine's multi-tenant data platform. This includes implementing features such as fine-grained permissions, auditing, policy enforcement, metadata management, and data labeling & compliance across the platform.You will collaborate closely with Product Managers to lead projects from inception through design and implementation. Your responsibilities will include designing and building data governance features while making strategic trade-offs to ensure a balance between security and usability.Our technology stack is continuously evolving, anchored by a backend foundation of Python, Django, Celery, Airflow, and Kafka; a frontend developed with React, Redux, and Mapbox; data storage solutions utilizing PostgreSQL and Elasticsearch; and machine learning models hosted on Bedrock and Sagemaker, supported by AWS, Pulumi, Terraform, and Kubernetes.

Peregrine Technologies builds AI-powered tools for public safety, government, and private organizations. Our platform connects fragmented data, giving clients immediate access to information that supports better decisions and outcomes. Today, we serve hundreds of clients across more than 30 states and two countries, reaching over 125 million people. Backed by leading Silicon Valley investors, we are expanding into enterprise and international markets. About the Engineering Team Peregrine’s engineers focus on building solutions with empathy for users. Understanding real-world product use is central to our approach, and engineers work closely with onsite colleagues to learn about the varied needs our clients face. Collaboration and hands-on problem solving are core to how we work. Role Overview: Senior Software Engineer, Data Governance This role sits within our core engineering group. The team tackles projects such as enabling real-time collaboration on complex maps and building backend systems that handle billions of data points at scale. The Data Governance team designs and builds services, systems, and product features that help clients manage their data assets from start to finish within Peregrine. The team’s work centers on secure, precise data access and strong audit controls. Location San Francisco, CA

Role overview Chime seeks a Data Governance Engineer based in San Francisco, CA. The role centers on protecting the quality and integrity of data assets throughout the organization. This engineer will partner with teams across departments to help shape and apply data governance frameworks that support Chime’s business needs. What you will do Develop and implement data governance processes and frameworks Work with teams from various parts of the company to ensure data management aligns with business objectives Support compliance with regulatory requirements related to data Promote data quality and consistency across systems Requirements Technical skills in data management and governance Experience with data governance frameworks Strong interest in data quality and compliance Ability to collaborate effectively with colleagues from multiple disciplines Why join This role offers a chance to work with new technologies and help shape the direction of Chime’s data strategy. The team values technical skill and a real commitment to responsible data management.

About Watney RoboticsAt Watney Robotics, we are pioneers in developing autonomous robotic solutions aimed at enhancing critical infrastructure. Recently securing $21 million in seed funding from leading investors such as Conviction, Abstract, and A*, we are collaborating with the world’s largest hyperscalers to propel the expansion of data centers and streamline maintenance processes.This is an extraordinary opportunity to join our team at a pivotal stage as we transition from prototype to large-scale production. Be part of a team that not only ships cutting-edge systems but also plays a crucial role in shaping the operational framework of an innovative robotics company.

P-186 At Databricks, we are passionate about empowering data teams to tackle some of the world’s most challenging problems, from security threat detection to cancer drug development. Our mission is to build and operate the leading data and AI infrastructure platform, enabling our customers to concentrate on the high-value challenges that are integral to their own objectives. Founded in 2013 by the original creators of Apache Spark™, Databricks has rapidly evolved from a small office in Berkeley, California, to a global powerhouse with over 1000 employees. Trusted by thousands of organizations, from startups to Fortune 100 companies, we are recognized as one of the fastest-growing SaaS companies worldwide. Our engineering teams create highly sophisticated products that address significant needs in the industry. We continuously push the limits of data and AI technology while maintaining the resilience, security, and scalability essential for our customers' success on our platform. We manage one of the largest-scale software platforms, consisting of millions of virtual machines that generate terabytes of logs and process exabytes of data daily. At this scale, we frequently encounter cloud hardware, network, and operating system faults, and our software must effectively shield our customers from these challenges. Modern data analysis leverages advanced techniques, such as machine learning, that far exceed the capabilities of traditional SQL query engines. As a Software Engineer on the Runtime team at Databricks, you will be instrumental in developing the next generation of distributed data storage and processing systems that outshine specialized SQL query engines in relational query performance, while providing the flexibility and programming abstractions to support a variety of workloads, from ETL to data science. Examples of projects you may work on include: Apache Spark™: Contributing to the de facto open-source framework for big data. Data Plane Storage: Developing reliable, high-performance services and client libraries for storing and accessing vast amounts of data on cloud storage backends like AWS S3 and Azure Blob Store. Delta Lake: A storage management system that merges the scalability and cost-effectiveness of data lakes with the performance and reliability of data warehouses, featuring low latency streaming. Its higher-level abstractions and guarantees, including ACID transactions and time travel, significantly reduce the complexity of real-world data engineering architectures. Delta Pipelines: Aiming to simplify the management of data engineering pipelines.

About GranicaGranica is a pioneering AI research and infrastructure company dedicated to creating reliable and steerable representations of enterprise data.We build trust through Crunch, a policy-driven health layer designed to keep extensive tabular datasets efficient, reliable, and reversible. From this foundation, we are developing Large Tabular Models—systems that learn cross-column and relational structures to provide trustworthy answers and automation, complete with built-in provenance and governance.Our MissionThe current limitations of AI are not solely due to model design but also to the inefficiencies of the data that supports it. At scale, every redundant byte, poorly organized dataset, and inefficient data path contributes to significant costs, latency, and energy waste.Granica’s mission is to eliminate these inefficiencies. We leverage cutting-edge research in information theory, probabilistic modeling, and distributed systems to create self-optimizing data infrastructures that continuously enhance how information is represented and utilized by AI.Our engineering team collaborates closely with the Granica Research group led by Prof. Andrea Montanari from Stanford University, merging advancements in information theory and learning efficiency with large-scale distributed systems. We believe that the next major breakthrough in AI will stem from innovations in efficient systems, rather than simply larger models.What You Will CreateGlobal Metadata Substrate. Design and refine the global metadata and transactional substrate that enables atomic consistency and schema evolution across exabyte-scale data systems.Adaptive Engines. Architect systems that self-optimize, reorganizing and compressing data according to access patterns, achieving unprecedented efficiency improvements.Intelligent Data Layouts. Innovate new encoding and layout strategies that challenge the theoretical limits of signal per byte read.Autonomous Compute Pipelines. Spearhead the development of distributed compute platforms that scale predictively and maintain reliability even under extreme load and failure conditions.Research to Production. Partner with Granica Research to transform advances in compression and probabilistic modeling into production-ready, industry-leading systems.Latency as Intelligence. Propel systems forward by optimizing for latency as a key aspect of intelligence.

Join Our Mission as a Staff Software EngineerAs a pivotal member of our Data Engineering team at Prosper, we are seeking a talented Enterprise Python Expert. Your primary responsibility will be to enhance our data ecosystem by designing and implementing high-quality software solutions. You will focus on building robust data pipelines and services while optimizing system architecture and ensuring clean, scalable code development within our Google Cloud Platform (GCP) environment.

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.

Founded in 2007, Airbnb began its journey when two hosts welcomed three guests into their San Francisco home. Today, we boast a thriving community of over 5 million hosts who have welcomed more than 2 billion guest arrivals across nearly every country worldwide. Our hosts provide exceptional stays and unique experiences, enabling guests to connect with local communities in a genuine and meaningful way.Join Our Community:At Airbnb, we prioritize the importance of reliable data across all business sectors to drive insight and innovation. To achieve this, we focus on understanding business needs, securing appropriate data sources, designing effective data models, and establishing robust and dependable data pipelines.We are currently recruiting for the following teams:The Data Stewardship Team: A dedicated group of data enthusiasts with diverse expertise in analytics, data modeling, governance, compliance, and scalable data quality. Our mission is to ensure that Airbnb meets its compliance obligations within our data ecosystem while enabling data consumers to easily find the best data suited for their needs. As part of the overall Data Infrastructure organization, we manage the online and offline data infrastructure and oversee the processes that facilitate data transitions between these environments.The Users and Contextualization Data & AI Team: A crucial component of the Marketplace Data & AI, this team focuses on developing foundational data systems that provide deeper insights into essential domains. Specifically, we concentrate on user data (Guests & Hosts) to create high-quality, well-governed user data and insights. These insights are vital for crafting personalized and context-aware experiences that enhance trip quality both on and off the Airbnb platform, ultimately enabling Airbnb to better understand and serve its users throughout their journey.Your Impact:Data Stewardship: This is integral to Airbnb's operations. High-quality data is imperative for our business decisions and the future of our AI initiatives. We are responsible for the overall strategy regarding data quality, identifying critical data and its provenance, measuring the effectiveness of our internal data products, and collaborating with our core catalog team to provide optimal data solutions.

About UsAt Imprint, we're on a mission to revolutionize co-branded credit cards and financial products, creating smarter, more rewarding experiences that prioritize brand identity. We collaborate with industry leaders like Crate & Barrel, Rakuten, Booking.com, H-E-B, Fetch, and Brooks Brothers to design innovative credit programs that enhance customer loyalty, unlock savings, and stimulate growth. Our cutting-edge platform seamlessly integrates advanced payment solutions, intelligent underwriting, and user-friendly design, enabling brands to offer powerful financial products without the need to become a bank.Co-branded credit cards represent over $300 billion in annual expenditure in the U.S., yet many are still rooted in outdated banking systems. Imprint stands as the modern alternative: adaptable, technology-driven, and designed for today’s savvy consumers. Supported by prominent investors such as Kleiner Perkins, Thrive Capital, and Khosla Ventures, we are assembling a world-class team to reshape payment methods and drive brand growth. If you're eager to work in a fast-paced environment, tackle challenging problems, and make a significant impact, we want to hear from you!Discover more about our innovations on Imprint's Technology blog.Our TeamThe Data Engineering team at Imprint is pivotal in constructing and scaling our data infrastructure, which underpins product development, analytics, operations, and machine learning throughout the organization. We manage the pipelines, platforms, and processes that empower our stakeholders to trust and utilize our data effectively.Your RoleAs a Senior Data Engineer, you will be responsible for designing and implementing our data platform, addressing our most challenging technical issues. You will lay the groundwork for Imprint's upcoming decade of growth by scaling our infrastructure for rapid expansion, providing insights that inform multi-million dollar decisions, facilitating secure partner data sharing, and transforming how our teams leverage data. Join us in building a platform that not only meets today's demands but also anticipates future opportunities.Key ResponsibilitiesInfrastructure Development & ScalingDesign and optimize our next-generation data platform, leveraging tools such as Snowflake, dbt Cloud, and real-time CDC pipelines for enterprise-level scalability.Create secure and compliant partner data delivery systems utilizing Snowflake shares, S3/SFTP integrations, and Marketplace listings.Develop critical financial reporting pipelines ensuring exceptional accuracy and reliability.Pursue Technical ExcellenceImplement best practices in data engineering, ensuring robust data governance and security.Collaborate with cross-functional teams to enhance data accessibility and usability.

About GridwareGridware, headquartered in San Francisco, is at the forefront of technology aimed at safeguarding and enhancing the electrical grid. We have innovated an advanced category of grid management known as Active Grid Response (AGR), which meticulously monitors the electrical, physical, and environmental elements impacting grid reliability and safety. Our sophisticated AGR platform utilizes high-precision sensors to identify potential issues early, facilitating proactive maintenance and fault mitigation. This holistic strategy not only bolsters safety but also minimizes outages and optimizes the grid's operational efficiency. Supported by prominent climate-tech and Silicon Valley investors, we are committed to making a significant impact in the energy sector. For further insights, please visit www.Gridware.io.Role OverviewAs a Senior Data Engineer at Gridware, your mission will be to architect and enhance the data infrastructure that fuels our cutting-edge real-time grid monitoring platform. You will develop high-performance data pipelines that transform extensive streams of sensor and telemetry data into actionable insights, enabling the detection of faults, forecasting of failures, and fortifying the grid that serves entire communities.

About GridwareGridware is an innovative technology firm based in San Francisco, committed to safeguarding and optimizing the electrical grid. We have pioneered a revolutionary grid management approach known as Active Grid Response (AGR), which emphasizes the monitoring of electrical, physical, and environmental factors that influence grid reliability and safety. Our cutting-edge AGR platform leverages high-precision sensors to identify potential issues early, facilitating proactive maintenance and fault prevention. This holistic strategy aids in enhancing safety, minimizing outages, and ensuring the grid operates with maximum efficiency. Gridware is supported by prominent climate-tech and Silicon Valley investors. For further details, please visit www.Gridware.io.Role OverviewWe are looking for a talented Staff Software Engineer to act as a pivotal technical force within our team, enhancing the overall software engineering capabilities through architectural innovation, mentorship, and fostering a culture of excellence. In this role, you will design and develop the essential software systems that drive Gridware's platform. This encompasses everything from backend services that oversee our distributed network of devices to the front-end interfaces that visualize grid health, fleet diagnostics, and real-time field events.Your responsibilities will span the entire technology stack, building and scaling systems that integrate hardware, firmware, and cloud infrastructure to enable dependable communication, fleet visibility, and expedited decision-making. This position offers significant ownership and impact, allowing you to influence how our technology supports and protects critical infrastructure at scale.

About BroccoliBroccoli is revolutionizing the $500 billion home services industry by developing an AI operating system designed to empower trades businesses such as HVAC and roofing. Our intelligent AI agents handle customer interactions, manage job bookings, and ensure every lead is effectively captured.With the backing of prominent venture capital firms and a successful $27 million Series A funding round, we are on an aggressive growth trajectory. Collaborating with top private equity-backed home service platforms, we anticipate expanding our team fivefold by 2026, presenting a unique opportunity to join us early and make a significant impact.Why Join Broccoli?As a Staff Engineer, you will be instrumental in establishing the technical backbone of Broccoli AI. Your responsibilities will include ownership of critical systems, influencing architectural decisions, and shaping our development and deployment processes on a large scale.Immediate Impact: Your contributions will directly enhance production systems, benefiting hundreds of customers.Category Creation: Play a pivotal role in defining a new category of AI-powered workforce within an expansive market.Speed & Ownership: Enjoy the advantages of a small team with rapid feedback loops and substantial decision-making authority.Founder Collaboration: Partner closely with experienced founders to drive product and technical vision.What You’ll DoDesign, develop, and scale backend systems and internal tools for our AI agent platform.Take ownership of essential APIs and integrations, including systems like ServiceTitan.Lead complex features from initial design through to production deployment.Enhance real-time voice capabilities, reliability, and intelligence of AI agents.Mentor fellow engineers and help implement best practices across the team.Balance speed and quality while scaling systems to accommodate live customer traffic.What We’re Looking For7+ years of experience in backend or full-stack engineering.Strong system design and architectural skills.Proven experience in deploying and maintaining production systems at scale.Ability to thrive in high-growth, ambiguous startup environments.A proactive approach with a strong execution mindset.

Join Carta's engineering team as a Staff Software Engineer, where you will play a crucial role in developing innovative solutions that enhance our platform. You will collaborate with cross-functional teams to design, implement, and maintain scalable systems, ensuring high performance and responsiveness to requests from the front-end.We're looking for a passionate engineer who thrives in a fast-paced environment and is excited about tackling complex challenges. If you are eager to contribute to cutting-edge technology and drive impactful projects, we want to hear from you!

Role overview The Staff Software Engineer position at Amplitude, Inc. is based in San Francisco, CA. This role centers on developing and enhancing software to broaden the platform’s features. Day-to-day work includes direct software development and frequent collaboration with colleagues from various teams. What you will do Design, build, and maintain scalable software applications that support the platform’s growth. Collaborate with product managers and designers to deliver features that address user needs. Mentor junior engineers and contribute to their technical and professional development. Review code and help improve engineering practices throughout the team. Stay current with emerging technologies and industry trends to guide technical choices.

Join Databricks as the Director of Engineering Governance!Databricks is the Lakehouse company. Over 7,000 organizations globally—including industry leaders like Comcast, Condé Nast, and H&M, as well as over 50% of the Fortune 500—trust the Databricks Lakehouse Platform to unify their data, analytics, and AI needs. Our headquarters in San Francisco is complemented by offices worldwide. Founded by the original creators of Apache Spark™, Delta Lake, and MLflow, we are dedicated to assisting data teams in addressing the world's most challenging problems. Discover more about our journey on Twitter, LinkedIn, and Facebook.For further insights, visit www.databricks.com.About the TeamWe are on the lookout for a highly technical and influential Director of Engineering Governance to spearhead the integration of security, privacy, and responsible data practices into the core of Databricks’ products and infrastructure. This role transcends traditional program management; it involves architecting and scaling engineering platforms, guardrails, and operational models that ensure secure and compliant product development is the norm within our rapidly growing, multi-cloud environment.This strategic, hands-on technical leadership position will have a significant cross-company impact. You will lead a team of senior security engineers, collaborate with product and infrastructure leaders, and shape the foundational governance systems that empower Databricks to innovate swiftly while upholding exceptional security and customer trust.

At Ripple, we are on a mission to transform the way value is exchanged globally, making it as seamless as information transfer. Our innovative crypto solutions empower financial institutions, businesses, governments, and developers, promoting a more equitable financial system while creating opportunities for individuals across the globe. Joining us means being part of an impactful journey where you can hone your skills and collaborate with a supportive team.If you are eager to make a significant impact and explore exciting career advancement opportunities, we invite you to join us in building real-world value.THE WORK: WHAT YOU’LL DO: WHAT YOU'LL BRING: Other common names for this role:

Join our innovative team at Crusoe as a Staff Software Engineer. In this pivotal role, you will leverage your advanced software engineering skills to design, develop, and optimize cutting-edge solutions that enhance our technology stack. Collaborate with cross-functional teams to drive projects from concept to completion, ensuring high-quality deliverables that meet user needs and business objectives.

P-188 At Databricks, we are on a mission to revolutionize the data lifecycle—from ingestion and ETL to business intelligence and advanced machine learning. Our vision is centered around a unified platform that replaces the conventional data warehouse architecture with a cutting-edge Lakehouse model (CIDR 2021 paper). This innovative architecture aims to tackle significant challenges such as data staleness, reliability, total cost of ownership, data lock-in, and limited support for diverse use cases. A pivotal element of achieving this vision is the development of the next generation of decoupled query engines and structured storage systems that can surpass the performance of specialized data warehouses while retaining the versatility of general-purpose systems like Apache Spark™. This capability is essential for supporting a wide range of workloads, from ETL processes to complex data science applications. As a key member of this team, you will engage in one or more of the following areas to design and implement systems that set new standards in the industry: Query compilation and optimization Distributed query execution and scheduling Vectorized execution engine Data security Resource management Transaction coordination Efficient storage structures (encodings, indexes) Automatic physical data optimization