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Results 21–40 of 7,251 for “Senior Data Protection Engineer” in San Francisco.
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Senior Software Engineer, Data Foundations
SoFiCA - San Francisco; WA - Seattle; UT - Cottonwood Heights
On-site Full-time
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Senior
About the job
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.
Full-time|On-site|CA - San Francisco; WA - Seattle; UT - Cottonwood Heights
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 Engin…
Full-time|$110K/yr - $145K/yr|Hybrid|San Francisco, California, United States
Role Overview Join our innovative team as a Senior Data Engineer focused on Solutions Architecture, where you will architect, develop, and sustain our critical data infrastructure that enhances our renewable energy operations. In this dynamic role, you will bridge the realms of renewable energy and data, creating pipelines that handle various data types, from real-time asset performance metrics to intricate trading and risk analytics. This hybrid position allows you to contribute to the advancement of clean energy initiatives while utilizing a modern data stack, including Snowflake, Dagster, dbt, Modal, and GitLab. Key Responsibilities Analytics Infrastructure & Data Warehouse Management Design, implement, and manage scalable data infrastructures to meet the analytical and reporting demands of the enterprise. Oversee Snowflake instances, focusing on performance optimization, security measures, and planning for increasing data volumes. Enhance query performance and resource efficiency to minimize costs and accelerate processing times. Data Pipeline Development & Orchestration Create and orchestrate sophisticated ETL/ELT workflows utilizing Dagster to ensure dependable, automated data processing for asset management and energy trading. Construct robust data pipelines capable of managing high-throughput, time-sensitive energy market data, along with asset generation and performance metrics. Establish workflow automation and dependencies for essential business operations. Data Transformation & Analytics Support Design and maintain dbt models to convert raw data into business-ready analytical datasets and dimensional models. Implement efficient SQL transformations for complex calculations related to energy markets and asset performance. Facilitate advanced analytics efforts through effective data preparation and feature engineering. Data Quality & Governance Develop comprehensive data validation, testing, and monitoring frameworks to ensure accuracy and consistency across all energy and financial data assets. Establish data lineage tracking and privacy controls to comply with regulatory standards in the energy industry. Create alerting and monitoring systems for data pipelines, encompassing error management, SLA monitoring, and incident response.
Join Our TeamAt Finix, we revolutionize payment processing, allowing businesses of all sizes to move and make money effortlessly. Our full-stack acquiring processor facilitates billions in transactions annually, offering modern, flexible payment solutions. Whether you’re in SaaS, e-commerce, or marketplace sectors, our no-code and low-code tools empower you to accept payments, manage payouts, and onboard merchants in just hours, not months.Having secured over $175M in funding, including a notable $75M Series C led by Acrew Capital, we have strong backing from prominent investors like Lightspeed Venture Partners and Sequoia Capital.Role OverviewAs a Senior Data Engineer, you will be a cornerstone of Finix’s data ecosystem. You will manage our reporting cluster, ensuring data integrity and crafting tools, frameworks, and pipelines that serve as the backbone of our operations. Your expertise will enable our teams to derive actionable insights from complex datasets, facilitating critical business decisions. Collaborating closely with operations, product, and analytics teams, you will ensure that the right data is available to drive timely decisions for both Finix and our customers.
Join Shield AI as a Senior Lead Data EngineerAt Shield AI, we are on a mission to safeguard both service members and civilians through the power of intelligent systems. As a leading venture-backed deep-tech company founded in 2015, our innovative products, including the V-BAT and X-BAT aircraft, Hivemind Enterprise, and Hivemind Vision product lines, are making a global impact. With operations spanning the U.S., Europe, the Middle East, and Asia-Pacific, our technology is pivotal in supporting missions worldwide.As a Senior Lead Data Engineer, you will play a crucial role in developing a cutting-edge financial enterprise reporting and analytics platform for our complex, R&D-intensive, multi-billion-dollar organization. Your responsibilities will encompass architecting and implementing secure, scalable, and cost-efficient data systems within Microsoft Fabric, enhancing Finance, FP&A, Accounting, Program Management, and Executive reporting.This position transcends traditional ETL development. You will take charge of cloud architecture decisions, establish data modeling standards, integrate advanced analytics readiness into the platform, and ensure our systems are designed with auditability, governance, and scalability in mind. Collaborating within a lean team, you will bridge engineering, analytics, and applied data science to drive significant impact.Your efforts will establish the foundation of a mission-critical analytics platform that informs executive decision-making, improves forecast accuracy, ensures compliance reporting, and facilitates scalable AI adoption. The impact of your work will resonate throughout the organization, directly influencing cost control, capital allocation, and operational insight.
Full-time|$165K/yr - $175K/yr|On-site|San Francisco, California, United States
WHO WE ARE Zeta Global (NYSE: ZETA) is an innovative AI-Powered Marketing Cloud that utilizes cutting-edge artificial intelligence (AI) and vast consumer signals to streamline the process for marketers aiming to efficiently acquire, nurture, and retain customers. Our Zeta Marketing Platform (ZMP) embodies our vision of simplifying sophisticated marketing by consolidating identity, intelligence, and omnichannel activation into one cohesive platform—driven by one of the industry's largest proprietary databases and AI technology. Our enterprise clients, spanning diverse verticals, gain the ability to personalize customer interactions on an individual level across all channels, ultimately enhancing the effectiveness of their marketing initiatives. Established in 2007 by David A. Steinberg and John Sculley, Zeta Global is headquartered in New York City and has a global presence. To discover more, visit www.zetaglobal.com. The Role We are in search of a Senior Data Engineer to architect, develop, and manage the data pipelines and aggregates that fuel Zeta’s AdTech platform. This is a hands-on individual contributor position focused on high-scale batch and streaming data processing, delivering reliable data products and analytics-ready datasets that facilitate predictive analytics, agentic workflows, business intelligence reporting, and measurement. You will work in close collaboration with backend, machine learning, and product teams to provide trustworthy, well-structured data that exhibits exceptional performance, quality, and observability.
Join Kiddom as a Senior Data Engineer and play a pivotal role in transforming the educational landscape through innovative technology. Our mission is to enhance learning experiences with an advanced curriculum, AI, and a robust SaaS infrastructure that empowers schools to provide personalized education at scale. Our platform delivers real-time insights and versatile tools that allow educators to prioritize student growth and equity effectively.At Kiddom, we don’t just create technology; we spearhead innovation in an industry ripe for change. Our dedicated team collaborates across engineering, design, research, and education to craft experiences that redefine possibilities for both learners and educators.If you excel in dynamic environments, cherish high-ownership cultures, and are passionate about merging human impact with cutting-edge technology, this is your opportunity to make a meaningful difference.Role Overview:As a Senior Data Engineer, you will be an integral part of our Data Architecture team, responsible for building and enhancing Kiddom’s data systems. You will focus on improving our core architecture for curriculum graphs and analytics while supporting various teams across the organization in utilizing the Kiddom data platform, ensuring student data privacy and security are paramount.Your role will involve close collaboration with departments such as Product, Engineering, and Analytics to understand their data requirements. You will define and document data workflows, pipelines, and transformation processes to ensure clarity and facilitate knowledge sharing.We seek a candidate with exceptional communication skills who can convey complex technical ideas to non-technical stakeholders. A solid understanding of PII compliance and best practices in data handling and storage is essential. If you possess strong problem-solving abilities and a talent for optimizing performance while ensuring data integrity and accuracy, we would love to hear from you!
Full-time|$181.2K/yr - $217.5K/yr|On-site|Denver, CO; San Francisco, CA
At Fastly, we empower individuals to connect more effectively with the things they cherish. Our cutting-edge edge cloud platform enables customers to swiftly, securely, and reliably craft exceptional digital experiences by processing, serving, and safeguarding their applications as close to their end-users as possible — right at the edge of the Internet. Tailored for modern internet demands, our platform is programmable and supports agile software development. We proudly serve many of the world's leading companies, including GitHub, Yelp, Paramount, and JetBlue.Join us in our mission to build a more trustworthy Internet.Posting Open Date: Feb. 25, 2026Anticipated Posting Close Date*: March 25, 2026*Please note that this job posting may close early depending on the volume of applications.Role Overview:The Data Reliability team is seeking an experienced Senior Software Engineer to contribute to the development and support of next-generation data storage solutions at Fastly. The ideal candidate will possess expertise in backend and data services within cloud environments, proficiency with configuration and orchestration tools such as Terraform and Kubernetes, and the ability to create internal administration tools using Go and related technologies. Our team plays a vital role in ensuring the infrastructure, orchestration, and reliability of Fastly's most data-intensive applications, utilizing technologies like Terraform, Elasticsearch, ClickHouse, Prometheus, MySQL, and Redis across both cloud and hardware platforms. Your contributions will directly enhance our customers' success by providing product teams with a robust platform for efficient and consistent delivery of high-quality, high-throughput, globally distributed data systems and products. We embrace a distributed work model and value both collaborative and asynchronous communication styles.Key Responsibilities:Deploy, support, and maintain various critical data storage systems, scaling from gigabytes to petabytes.Develop statistics and dashboards to track service-level objectives for these systems.Create and manage tools for configuration, backup, and authenticated access to data systems employing peer review, CI/CD, and both daemon- and container-based deployment strategies.Write high-performance, maintainable, and concise code, actively participating in code reviews to enhance the codebase.
Full-time|Remote|San Francisco, CA, US; Remote, US
Join our dynamic team at tvScientific as a Senior Data Engineer. In this role, you will play a pivotal part in shaping our data infrastructure, enhancing our analytics capabilities, and driving data-driven decision-making across the organization. You will collaborate closely with cross-functional teams to implement innovative data solutions that support our strategic objectives.
Full-time|$140K/yr - $160K/yr|On-site|San Francisco, CA
Join our dynamic team at Cargomatic as a Senior Data Architect in Data Engineering, where you'll play a pivotal role in designing and constructing scalable, cloud-native data infrastructures. Your work will empower analytics, machine learning, and AI-driven applications that revolutionize the local trucking industry.In this fast-paced environment, you'll leverage your deep expertise in data architecture alongside hands-on experience with modern data platforms and LLM-enabled application development. You will be responsible for leading the design of enterprise-grade data models, architecting RAG systems, implementing agentic workflows, and integrating secure, production-ready LLM capabilities into our ecosystem. This high-impact position offers significant ownership and visibility, allowing you to shape the future of intelligent logistics technology.
Join DigitalOcean as a Senior Engineer 2 specializing in Inference Data Plane, where you'll play a pivotal role in enhancing our data processing capabilities. You will work alongside a talented team to design, implement, and optimize systems that facilitate efficient inference operations. Your expertise will contribute to building scalable solutions that empower developers and organizations to harness the cloud effectively.
Are you ready to take your software engineering skills to the next level? Join Amplitude as a Senior Software Engineer specializing in Data Pipeline. In this pivotal role, you will be responsible for designing, implementing, and maintaining robust data pipelines that drive our analytics platform. You will work alongside a talented team of engineers and contribute to building scalable solutions that enable data-driven decision-making across the organization.
Full-time|$130K/yr - $250K/yr|On-site|San Francisco, CA
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
About UsAt Rox, we are dedicated to empowering individuals to achieve their greatest potential. Our innovative platform enhances sales efforts through autonomous revenue agents, allowing sellers to prioritize their expertise in selling. Just as coding agents transformed engineering, revenue agents amplify customer interactions.We are revolutionizing the revenue stack by developing the world’s first revenue operating system, encompassing everything from the application layer to systems of context. At Rox, we envision a future where humans evolve into orchestrators while agents handle the complete customer lifecycle.Our solutions support Global 2000 leaders across sectors such as banking, construction, and AI, partnering with industry giants like Ramp and Cognition.Our success stems from a united belief in our mission and an unwavering commitment to making it a reality.The TeamOur world-class team is the backbone of our innovative approach to redefining business operations.Our team members have:Founded and successfully exited companiesHeld top roles at Google, AWS, Confluent, and New RelicWon gold medals in international mathematics competitionsPublished groundbreaking research papersWe are proud to be backed by leading investors, having raised $50 million from Sequoia (Alfred Lin), General Catalyst (Hemant Taneja), Google Ventures, Elad Gil, and Chris Ré.Core PrinciplesTaste: Craft beautiful experiences.We meticulously focus on every detail, striving to ensure that each interaction not only helps sellers accomplish their tasks but also enhances their experience. We are relentless in our pursuit of excellence, always exploring new ways to delight our sellers.Obsession: Commit unreasonably.We are dedicated to our craft, responding to customer needs proactively and driving value even before they ask. Our commitment to continuous learning and self-improvement is unwavering.Action: Get it done.Execution is key; we prioritize thoughtful yet swift decision-making and immediate delivery. Trust is essential in our field, and we earn it through our actions.
Join Crusoe as a Senior Data Engineer, where you will play a critical role in enhancing our data infrastructure and analytics capabilities. You will be responsible for designing, developing, and maintaining robust data pipelines to support our cutting-edge applications.As a key member of our engineering team, you will work closely with data scientists and analysts to ensure that data is accessible, accurate, and actionable.
Full-time|On-site|CA - San Francisco; WA - Seattle; NY - New York City
SoFi is seeking a Senior Product Manager to lead the development and enhancement of our life insurance and financial protection offerings. In this role, you will collaborate with cross-functional teams to create innovative products that meet the evolving needs of our customers. You will leverage your expertise in product management to drive the product lifecycle, from concept to launch, ensuring we deliver exceptional value to our users.
Full-time|On-site|San Francisco, CA, United States
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 Cloudflare as a Senior Systems Engineer specializing in our Data Platform. In this pivotal role, you'll be responsible for designing and implementing scalable systems that process vast amounts of data, ensuring performance and reliability across our services. Your expertise will drive innovative solutions that enhance our platform capabilities.
About RoxAt Rox, we are dedicated to empowering individuals to excel in their work.Our innovative platform enhances seller performance with autonomous revenue agents that handle manual tasks, allowing sales professionals to concentrate on their primary role: selling. Just as coding agents exponentially increased engineering productivity, our revenue agents elevate customer engagement.We are revolutionizing the revenue landscape by developing the world’s first revenue operating system, integrating everything from the application layer to the system of context. At Rox, we envision a future where humans become orchestrators, while our agents efficiently manage the complete customer lifecycle.Rox serves Global 2000 leaders across sectors such as banking, hardware, construction, and sovereign AI, while also supporting prominent AI innovators like Ramp and Cognition.This success is built on a steadfast belief in our mission and an unwavering commitment to achieving it.Join Our TeamOur world-class team is the cornerstone of our success, tasked with redefining business operations.Team members have:Founded and exited successful startupsHeld top positions at Google, AWS, Confluent, and New RelicAchieved gold medals in IMO and IOIPublished groundbreaking research papersWe are proud to be backed by top-tier investors, having raised $50M from Sequoia (Alfred Lin), General Catalyst (Hemant Taneja), Google Ventures, Elad Gil, and Chris Ré.Core PrinciplesTaste: Craft exceptional experiences.Every detail matters; we ensure that each interaction is optimized for the seller’s success and satisfaction. We strive for perfection and continuously seek ways to delight our users.Obsession: Commit without reservation.We are dedicated to our craft, proactively addressing customer needs and constantly improving our skills and products.Action: Deliver results.Execution is key; we prioritize thoughtful, rapid decision-making and immediate delivery, fostering a culture of trust.
At Merge Labs, we are at the forefront of scientific innovation, dedicated to harmonizing biological and artificial intelligence to enhance human potential and experiences. Our mission is to pioneer groundbreaking brain-computer interface technologies that communicate with the brain at unprecedented speeds, integrate seamlessly with advanced AI, and ensure safety and accessibility for all users.About Our Team:Our team is committed to transforming advanced brain-computer interface visions into tangible algorithms. By integrating knowledge from synthetic biology, neuroscience, device physics, signal processing, and machine learning, we create effective methodologies to connect human intelligence with artificial intelligence. Our work involves designing experiments, developing analytical frameworks, collecting data, training models, and optimizing performance to construct scalable Brain-AI systems. We prioritize urgency while maintaining a balance between creative exploration and engineering rigor, as we believe that enhancing human ability, agency, and experience is one of the most pressing challenges of our era.Role Overview:As the most senior data engineer on our team, you will take charge of the data pipelines that capture, process, and deliver the essential data driving Merge’s molecular optimization platform. Your role will include converting diverse laboratory outputs into structured, queryable datasets that enable scientific analysis and closed-loop machine learning. Collaborating closely with experimentalists, you will establish data standards and metadata conventions, and work alongside ML engineers to ensure results are integrated into production-grade systems.This position reports to the Head of Software and involves extensive cross-functional collaboration—spanning software engineering, data architecture, and scientific informatics. As part of the Core Software team, you will be supported by infrastructure specialists and will coordinate with the Application Development Lead to ensure comprehensive scientific and user input capture.Your Responsibilities Include:Developing and maintaining ingestion pipelines from laboratory instruments into centralized data storage.Designing schemas and capturing metadata standards for experimental data.Implementing post-processing pipelines to generate analysis-ready datasets for our scientific teams.Setting up monitoring, alerting, and structured logging for data pipelines to ensure optimal operation.
Full-time|$115.4K/yr - $204.2K/yr|On-site|San Francisco, California
Join Databricks as a Senior Product Manager in Data Engineering!At Databricks, we are dedicated to empowering data teams to tackle some of the most challenging problems in the world, from revolutionizing transportation to advancing medical innovations. We accomplish this by creating and operating the premier data and AI infrastructure platform, allowing our clients to leverage profound data insights to enhance their businesses.Data Engineering is a critical component of the Databricks Data Intelligence Platform, supporting some of the largest workloads. We are redefining Data Engineering with Lakeflow—a cohesive product that simplifies data ingestion, declarative data transformation, and real-time streaming capabilities. In this pivotal role, you will be responsible for leading the product management of a key Lakeflow area, taking charge of all facets of product management, including vision, strategy, roadmap, execution, and go-to-market initiatives. Additionally, you will collaborate closely with various product teams within Databricks to enhance Data Engineering across our suite of products, including data science, data warehousing, business intelligence, and machine learning offerings.Your Impact:Steer product management for one of the fastest-growing products at Databricks.Create a significant impact across the organization by enhancing Data Engineering throughout the Databricks product suite.Deepen your knowledge and expertise in Data Engineering, a foundational domain within the data and AI landscape.Define and shape the future of data processing, applications, and pipelines.Oversee the entire product development lifecycle, from ideation through to requirements gathering, development, pricing, launch, and marketing.
Full-time|On-site|CA - San Francisco; WA - Seattle; UT - Cottonwood Heights
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 Engin…
Full-time|$110K/yr - $145K/yr|Hybrid|San Francisco, California, United States
Role Overview Join our innovative team as a Senior Data Engineer focused on Solutions Architecture, where you will architect, develop, and sustain our critical data infrastructure that enhances our renewable energy operations. In this dynamic role, you will bridge the realms of renewable energy and data, creating pipelines that handle various data types, from real-time asset performance metrics to intricate trading and risk analytics. This hybrid position allows you to contribute to the advancement of clean energy initiatives while utilizing a modern data stack, including Snowflake, Dagster, dbt, Modal, and GitLab. Key Responsibilities Analytics Infrastructure & Data Warehouse Management Design, implement, and manage scalable data infrastructures to meet the analytical and reporting demands of the enterprise. Oversee Snowflake instances, focusing on performance optimization, security measures, and planning for increasing data volumes. Enhance query performance and resource efficiency to minimize costs and accelerate processing times. Data Pipeline Development & Orchestration Create and orchestrate sophisticated ETL/ELT workflows utilizing Dagster to ensure dependable, automated data processing for asset management and energy trading. Construct robust data pipelines capable of managing high-throughput, time-sensitive energy market data, along with asset generation and performance metrics. Establish workflow automation and dependencies for essential business operations. Data Transformation & Analytics Support Design and maintain dbt models to convert raw data into business-ready analytical datasets and dimensional models. Implement efficient SQL transformations for complex calculations related to energy markets and asset performance. Facilitate advanced analytics efforts through effective data preparation and feature engineering. Data Quality & Governance Develop comprehensive data validation, testing, and monitoring frameworks to ensure accuracy and consistency across all energy and financial data assets. Establish data lineage tracking and privacy controls to comply with regulatory standards in the energy industry. Create alerting and monitoring systems for data pipelines, encompassing error management, SLA monitoring, and incident response.
Join Our TeamAt Finix, we revolutionize payment processing, allowing businesses of all sizes to move and make money effortlessly. Our full-stack acquiring processor facilitates billions in transactions annually, offering modern, flexible payment solutions. Whether you’re in SaaS, e-commerce, or marketplace sectors, our no-code and low-code tools empower you to accept payments, manage payouts, and onboard merchants in just hours, not months.Having secured over $175M in funding, including a notable $75M Series C led by Acrew Capital, we have strong backing from prominent investors like Lightspeed Venture Partners and Sequoia Capital.Role OverviewAs a Senior Data Engineer, you will be a cornerstone of Finix’s data ecosystem. You will manage our reporting cluster, ensuring data integrity and crafting tools, frameworks, and pipelines that serve as the backbone of our operations. Your expertise will enable our teams to derive actionable insights from complex datasets, facilitating critical business decisions. Collaborating closely with operations, product, and analytics teams, you will ensure that the right data is available to drive timely decisions for both Finix and our customers.
Join Shield AI as a Senior Lead Data EngineerAt Shield AI, we are on a mission to safeguard both service members and civilians through the power of intelligent systems. As a leading venture-backed deep-tech company founded in 2015, our innovative products, including the V-BAT and X-BAT aircraft, Hivemind Enterprise, and Hivemind Vision product lines, are making a global impact. With operations spanning the U.S., Europe, the Middle East, and Asia-Pacific, our technology is pivotal in supporting missions worldwide.As a Senior Lead Data Engineer, you will play a crucial role in developing a cutting-edge financial enterprise reporting and analytics platform for our complex, R&D-intensive, multi-billion-dollar organization. Your responsibilities will encompass architecting and implementing secure, scalable, and cost-efficient data systems within Microsoft Fabric, enhancing Finance, FP&A, Accounting, Program Management, and Executive reporting.This position transcends traditional ETL development. You will take charge of cloud architecture decisions, establish data modeling standards, integrate advanced analytics readiness into the platform, and ensure our systems are designed with auditability, governance, and scalability in mind. Collaborating within a lean team, you will bridge engineering, analytics, and applied data science to drive significant impact.Your efforts will establish the foundation of a mission-critical analytics platform that informs executive decision-making, improves forecast accuracy, ensures compliance reporting, and facilitates scalable AI adoption. The impact of your work will resonate throughout the organization, directly influencing cost control, capital allocation, and operational insight.
Full-time|$165K/yr - $175K/yr|On-site|San Francisco, California, United States
WHO WE ARE Zeta Global (NYSE: ZETA) is an innovative AI-Powered Marketing Cloud that utilizes cutting-edge artificial intelligence (AI) and vast consumer signals to streamline the process for marketers aiming to efficiently acquire, nurture, and retain customers. Our Zeta Marketing Platform (ZMP) embodies our vision of simplifying sophisticated marketing by consolidating identity, intelligence, and omnichannel activation into one cohesive platform—driven by one of the industry's largest proprietary databases and AI technology. Our enterprise clients, spanning diverse verticals, gain the ability to personalize customer interactions on an individual level across all channels, ultimately enhancing the effectiveness of their marketing initiatives. Established in 2007 by David A. Steinberg and John Sculley, Zeta Global is headquartered in New York City and has a global presence. To discover more, visit www.zetaglobal.com. The Role We are in search of a Senior Data Engineer to architect, develop, and manage the data pipelines and aggregates that fuel Zeta’s AdTech platform. This is a hands-on individual contributor position focused on high-scale batch and streaming data processing, delivering reliable data products and analytics-ready datasets that facilitate predictive analytics, agentic workflows, business intelligence reporting, and measurement. You will work in close collaboration with backend, machine learning, and product teams to provide trustworthy, well-structured data that exhibits exceptional performance, quality, and observability.
Join Kiddom as a Senior Data Engineer and play a pivotal role in transforming the educational landscape through innovative technology. Our mission is to enhance learning experiences with an advanced curriculum, AI, and a robust SaaS infrastructure that empowers schools to provide personalized education at scale. Our platform delivers real-time insights and versatile tools that allow educators to prioritize student growth and equity effectively.At Kiddom, we don’t just create technology; we spearhead innovation in an industry ripe for change. Our dedicated team collaborates across engineering, design, research, and education to craft experiences that redefine possibilities for both learners and educators.If you excel in dynamic environments, cherish high-ownership cultures, and are passionate about merging human impact with cutting-edge technology, this is your opportunity to make a meaningful difference.Role Overview:As a Senior Data Engineer, you will be an integral part of our Data Architecture team, responsible for building and enhancing Kiddom’s data systems. You will focus on improving our core architecture for curriculum graphs and analytics while supporting various teams across the organization in utilizing the Kiddom data platform, ensuring student data privacy and security are paramount.Your role will involve close collaboration with departments such as Product, Engineering, and Analytics to understand their data requirements. You will define and document data workflows, pipelines, and transformation processes to ensure clarity and facilitate knowledge sharing.We seek a candidate with exceptional communication skills who can convey complex technical ideas to non-technical stakeholders. A solid understanding of PII compliance and best practices in data handling and storage is essential. If you possess strong problem-solving abilities and a talent for optimizing performance while ensuring data integrity and accuracy, we would love to hear from you!
Full-time|$181.2K/yr - $217.5K/yr|On-site|Denver, CO; San Francisco, CA
At Fastly, we empower individuals to connect more effectively with the things they cherish. Our cutting-edge edge cloud platform enables customers to swiftly, securely, and reliably craft exceptional digital experiences by processing, serving, and safeguarding their applications as close to their end-users as possible — right at the edge of the Internet. Tailored for modern internet demands, our platform is programmable and supports agile software development. We proudly serve many of the world's leading companies, including GitHub, Yelp, Paramount, and JetBlue.Join us in our mission to build a more trustworthy Internet.Posting Open Date: Feb. 25, 2026Anticipated Posting Close Date*: March 25, 2026*Please note that this job posting may close early depending on the volume of applications.Role Overview:The Data Reliability team is seeking an experienced Senior Software Engineer to contribute to the development and support of next-generation data storage solutions at Fastly. The ideal candidate will possess expertise in backend and data services within cloud environments, proficiency with configuration and orchestration tools such as Terraform and Kubernetes, and the ability to create internal administration tools using Go and related technologies. Our team plays a vital role in ensuring the infrastructure, orchestration, and reliability of Fastly's most data-intensive applications, utilizing technologies like Terraform, Elasticsearch, ClickHouse, Prometheus, MySQL, and Redis across both cloud and hardware platforms. Your contributions will directly enhance our customers' success by providing product teams with a robust platform for efficient and consistent delivery of high-quality, high-throughput, globally distributed data systems and products. We embrace a distributed work model and value both collaborative and asynchronous communication styles.Key Responsibilities:Deploy, support, and maintain various critical data storage systems, scaling from gigabytes to petabytes.Develop statistics and dashboards to track service-level objectives for these systems.Create and manage tools for configuration, backup, and authenticated access to data systems employing peer review, CI/CD, and both daemon- and container-based deployment strategies.Write high-performance, maintainable, and concise code, actively participating in code reviews to enhance the codebase.
Full-time|Remote|San Francisco, CA, US; Remote, US
Join our dynamic team at tvScientific as a Senior Data Engineer. In this role, you will play a pivotal part in shaping our data infrastructure, enhancing our analytics capabilities, and driving data-driven decision-making across the organization. You will collaborate closely with cross-functional teams to implement innovative data solutions that support our strategic objectives.
Full-time|$140K/yr - $160K/yr|On-site|San Francisco, CA
Join our dynamic team at Cargomatic as a Senior Data Architect in Data Engineering, where you'll play a pivotal role in designing and constructing scalable, cloud-native data infrastructures. Your work will empower analytics, machine learning, and AI-driven applications that revolutionize the local trucking industry.In this fast-paced environment, you'll leverage your deep expertise in data architecture alongside hands-on experience with modern data platforms and LLM-enabled application development. You will be responsible for leading the design of enterprise-grade data models, architecting RAG systems, implementing agentic workflows, and integrating secure, production-ready LLM capabilities into our ecosystem. This high-impact position offers significant ownership and visibility, allowing you to shape the future of intelligent logistics technology.
Join DigitalOcean as a Senior Engineer 2 specializing in Inference Data Plane, where you'll play a pivotal role in enhancing our data processing capabilities. You will work alongside a talented team to design, implement, and optimize systems that facilitate efficient inference operations. Your expertise will contribute to building scalable solutions that empower developers and organizations to harness the cloud effectively.
Are you ready to take your software engineering skills to the next level? Join Amplitude as a Senior Software Engineer specializing in Data Pipeline. In this pivotal role, you will be responsible for designing, implementing, and maintaining robust data pipelines that drive our analytics platform. You will work alongside a talented team of engineers and contribute to building scalable solutions that enable data-driven decision-making across the organization.
Full-time|$130K/yr - $250K/yr|On-site|San Francisco, CA
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
About UsAt Rox, we are dedicated to empowering individuals to achieve their greatest potential. Our innovative platform enhances sales efforts through autonomous revenue agents, allowing sellers to prioritize their expertise in selling. Just as coding agents transformed engineering, revenue agents amplify customer interactions.We are revolutionizing the revenue stack by developing the world’s first revenue operating system, encompassing everything from the application layer to systems of context. At Rox, we envision a future where humans evolve into orchestrators while agents handle the complete customer lifecycle.Our solutions support Global 2000 leaders across sectors such as banking, construction, and AI, partnering with industry giants like Ramp and Cognition.Our success stems from a united belief in our mission and an unwavering commitment to making it a reality.The TeamOur world-class team is the backbone of our innovative approach to redefining business operations.Our team members have:Founded and successfully exited companiesHeld top roles at Google, AWS, Confluent, and New RelicWon gold medals in international mathematics competitionsPublished groundbreaking research papersWe are proud to be backed by leading investors, having raised $50 million from Sequoia (Alfred Lin), General Catalyst (Hemant Taneja), Google Ventures, Elad Gil, and Chris Ré.Core PrinciplesTaste: Craft beautiful experiences.We meticulously focus on every detail, striving to ensure that each interaction not only helps sellers accomplish their tasks but also enhances their experience. We are relentless in our pursuit of excellence, always exploring new ways to delight our sellers.Obsession: Commit unreasonably.We are dedicated to our craft, responding to customer needs proactively and driving value even before they ask. Our commitment to continuous learning and self-improvement is unwavering.Action: Get it done.Execution is key; we prioritize thoughtful yet swift decision-making and immediate delivery. Trust is essential in our field, and we earn it through our actions.
Join Crusoe as a Senior Data Engineer, where you will play a critical role in enhancing our data infrastructure and analytics capabilities. You will be responsible for designing, developing, and maintaining robust data pipelines to support our cutting-edge applications.As a key member of our engineering team, you will work closely with data scientists and analysts to ensure that data is accessible, accurate, and actionable.
Full-time|On-site|CA - San Francisco; WA - Seattle; NY - New York City
SoFi is seeking a Senior Product Manager to lead the development and enhancement of our life insurance and financial protection offerings. In this role, you will collaborate with cross-functional teams to create innovative products that meet the evolving needs of our customers. You will leverage your expertise in product management to drive the product lifecycle, from concept to launch, ensuring we deliver exceptional value to our users.
Full-time|On-site|San Francisco, CA, United States
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 Cloudflare as a Senior Systems Engineer specializing in our Data Platform. In this pivotal role, you'll be responsible for designing and implementing scalable systems that process vast amounts of data, ensuring performance and reliability across our services. Your expertise will drive innovative solutions that enhance our platform capabilities.
About RoxAt Rox, we are dedicated to empowering individuals to excel in their work.Our innovative platform enhances seller performance with autonomous revenue agents that handle manual tasks, allowing sales professionals to concentrate on their primary role: selling. Just as coding agents exponentially increased engineering productivity, our revenue agents elevate customer engagement.We are revolutionizing the revenue landscape by developing the world’s first revenue operating system, integrating everything from the application layer to the system of context. At Rox, we envision a future where humans become orchestrators, while our agents efficiently manage the complete customer lifecycle.Rox serves Global 2000 leaders across sectors such as banking, hardware, construction, and sovereign AI, while also supporting prominent AI innovators like Ramp and Cognition.This success is built on a steadfast belief in our mission and an unwavering commitment to achieving it.Join Our TeamOur world-class team is the cornerstone of our success, tasked with redefining business operations.Team members have:Founded and exited successful startupsHeld top positions at Google, AWS, Confluent, and New RelicAchieved gold medals in IMO and IOIPublished groundbreaking research papersWe are proud to be backed by top-tier investors, having raised $50M from Sequoia (Alfred Lin), General Catalyst (Hemant Taneja), Google Ventures, Elad Gil, and Chris Ré.Core PrinciplesTaste: Craft exceptional experiences.Every detail matters; we ensure that each interaction is optimized for the seller’s success and satisfaction. We strive for perfection and continuously seek ways to delight our users.Obsession: Commit without reservation.We are dedicated to our craft, proactively addressing customer needs and constantly improving our skills and products.Action: Deliver results.Execution is key; we prioritize thoughtful, rapid decision-making and immediate delivery, fostering a culture of trust.
At Merge Labs, we are at the forefront of scientific innovation, dedicated to harmonizing biological and artificial intelligence to enhance human potential and experiences. Our mission is to pioneer groundbreaking brain-computer interface technologies that communicate with the brain at unprecedented speeds, integrate seamlessly with advanced AI, and ensure safety and accessibility for all users.About Our Team:Our team is committed to transforming advanced brain-computer interface visions into tangible algorithms. By integrating knowledge from synthetic biology, neuroscience, device physics, signal processing, and machine learning, we create effective methodologies to connect human intelligence with artificial intelligence. Our work involves designing experiments, developing analytical frameworks, collecting data, training models, and optimizing performance to construct scalable Brain-AI systems. We prioritize urgency while maintaining a balance between creative exploration and engineering rigor, as we believe that enhancing human ability, agency, and experience is one of the most pressing challenges of our era.Role Overview:As the most senior data engineer on our team, you will take charge of the data pipelines that capture, process, and deliver the essential data driving Merge’s molecular optimization platform. Your role will include converting diverse laboratory outputs into structured, queryable datasets that enable scientific analysis and closed-loop machine learning. Collaborating closely with experimentalists, you will establish data standards and metadata conventions, and work alongside ML engineers to ensure results are integrated into production-grade systems.This position reports to the Head of Software and involves extensive cross-functional collaboration—spanning software engineering, data architecture, and scientific informatics. As part of the Core Software team, you will be supported by infrastructure specialists and will coordinate with the Application Development Lead to ensure comprehensive scientific and user input capture.Your Responsibilities Include:Developing and maintaining ingestion pipelines from laboratory instruments into centralized data storage.Designing schemas and capturing metadata standards for experimental data.Implementing post-processing pipelines to generate analysis-ready datasets for our scientific teams.Setting up monitoring, alerting, and structured logging for data pipelines to ensure optimal operation.
Full-time|$115.4K/yr - $204.2K/yr|On-site|San Francisco, California
Join Databricks as a Senior Product Manager in Data Engineering!At Databricks, we are dedicated to empowering data teams to tackle some of the most challenging problems in the world, from revolutionizing transportation to advancing medical innovations. We accomplish this by creating and operating the premier data and AI infrastructure platform, allowing our clients to leverage profound data insights to enhance their businesses.Data Engineering is a critical component of the Databricks Data Intelligence Platform, supporting some of the largest workloads. We are redefining Data Engineering with Lakeflow—a cohesive product that simplifies data ingestion, declarative data transformation, and real-time streaming capabilities. In this pivotal role, you will be responsible for leading the product management of a key Lakeflow area, taking charge of all facets of product management, including vision, strategy, roadmap, execution, and go-to-market initiatives. Additionally, you will collaborate closely with various product teams within Databricks to enhance Data Engineering across our suite of products, including data science, data warehousing, business intelligence, and machine learning offerings.Your Impact:Steer product management for one of the fastest-growing products at Databricks.Create a significant impact across the organization by enhancing Data Engineering throughout the Databricks product suite.Deepen your knowledge and expertise in Data Engineering, a foundational domain within the data and AI landscape.Define and shape the future of data processing, applications, and pipelines.Oversee the entire product development lifecycle, from ideation through to requirements gathering, development, pricing, launch, and marketing.