Senior Staff Data Engineer at PayJoy | San Francisco

Join Our Mission-Driven Team at PayJoyAt PayJoy, we are committed to revolutionizing credit access for underserved communities in emerging markets, enabling them to achieve financial independence and prosperity. Our innovative secured credit technology serves as a gateway for new customers to engage with the credit system, providing them with opportunities through point-of-sale financing and credit cards. Our solutions empower our clients as micro-entrepreneurs and offer a safety net during challenging times. With advanced machine learning, data science, and anti-fraud AI, we proudly serve over 18 million customers and maintain a strong profitability trajectory for sustainable growth.About the RoleAs a Staff Data Engineer, you will play a pivotal role in ensuring our data infrastructure is robust, scalable, and secure. Your responsibilities will include designing and maintaining real-time and batch processing systems, developing a data strategy aligned with business objectives, ensuring data integrity and security, optimizing database performance, automating workflows for enhanced efficiency, and leading cross-functional teams to uphold best practices in data management.

About PayJoyAt PayJoy, we are driven by our mission to empower under-served communities in emerging markets, enabling them to achieve financial stability and success. Our innovative secured credit technology serves as a gateway for new customers to access the credit system. With PayJoy’s point-of-sale financing and credit card solutions, we elevate our customers’ quality of life. Our offerings also enable micro-entrepreneurship, providing a safety net during challenging times. Leveraging advanced machine learning, data science, and anti-fraud AI capabilities, we have proudly served over 18 million customers as of 2025, all while maintaining profitability for sustainable growth.Role OverviewWe are seeking a Senior Staff Software Engineer to spearhead our technical infrastructure, initially partnering with the Money - Payments teams to foster innovation. This role offers the exciting opportunity to collaborate with various teams, take on a mentorship role, design scalable systems, and impact cross-functional initiatives. You will be actively involved in making critical technical decisions and developing essential services in a hands-on capacity.

Employee Applicant Privacy NoticeAbout Us:Join us in shaping a brighter financial future. At SoFi, we are revolutionizing the personal finance experience for our millions of members through innovative mobile technology.As a next-generation financial services company and national bank, we pride ourselves on being at the forefront of an unprecedented transformation in the industry. Our core values guide our efforts every day, driving meaningful changes that impact people's lives. Invest in yourself, your career, and the financial world with us.SoFi is on the lookout for a seasoned and driven Senior Staff Data Engineer to lead our Data Engineering group within the SoFi Data Platform (SDP) division. The SDP's mission is to harness data across SoFi, enabling the development of personalized and engaging experiences for our members.The Role:In this position, you will have the chance to significantly influence and steer the architecture of our next-generation AI-powered SoFi Data Platform (SDP). You will enhance data reliability through AI-driven workflows, tools, and practices. You will be responsible for leading, defining, and tackling complex problems in a fast-paced, collaborative environment. The ideal candidate will be a mentor and technical leader who is hands-on, with a strong sense of ownership and a commitment to delivering results.

Join fuku as a Senior/Staff Engineer, where you will play a pivotal role in shaping the future of global payments infrastructure. This position is based in either San Francisco, CA, or New York, NY. At fuku, we are committed to revolutionizing the way payments are processed, currently facilitating $1.5 billion annually to over one million payees. Our focus is on developing high-scale, reliable backend systems that ensure seamless transactions for gig workers and businesses alike.Our company culture promotes:- Autonomy and ownership in your work- Fast-paced, iterative product development- Collaboration with a team of highly skilled engineers- Designing systems capable of handling extensive financial data reliablyAs a Senior/Staff Engineer, you will be responsible for designing, building, and scaling production-ready backend systems capable of processing large volumes of data. You will work across the entire stack, partner with product and engineering leadership, and make significant technical decisions.This role is ideal for engineers who:- Excel in high-impact, ambiguous environments- Enjoy constructing end-to-end systems with tangible results- Are passionate about developing scalable FinTech infrastructure- Thrive in an environment that encourages rapid iterations and robust system development.Your tech stack will include:- Frontend: React- Backend: Python- Infrastructure: AWS, ECS- Tools: GitHub, Linear, Slack, NotionResponsibilities:- Design and implement scalable backend systems for high-throughput payments- Launch and refine applications and large-scale software projects- Collaborate with product and engineering teams to drive impactful results- Work with substantial datasets and distributed systems- Optionally engage in recruiting activities, including sourcing and interviewing engineering talent.

Join PayJoy as a Staff Software Engineer - OriginationAt PayJoy, we are dedicated to transforming the financial landscape for under-served customers in emerging markets, empowering them to achieve financial stability and success. Our innovative, patented technology for secured credit opens doors for new customers to access the credit system. With our point-of-sale financing and credit cards, we enhance our customers' quality of life, enabling them to seize opportunities as micro-entrepreneurs and providing a safety net during challenging times. Leveraging cutting-edge machine learning, data science, and anti-fraud AI, we have successfully served over 18 million customers by 2025, achieving robust profitability and sustainable growth.Role OverviewThe Staff Software Engineer will play a pivotal role in shaping our technical foundation. Initially, you will collaborate with the Merchant team to foster innovation while having opportunities to engage with other teams. This hands-on position involves mentoring, designing scalable systems, and influencing cross-functional initiatives. You will be responsible for making critical technical decisions and developing essential services that drive our mission forward.

Join Us at ApiphanyAt Apiphany, we are at the forefront of foundational AI technology, driving innovation in physical product development. Our mission is to support global leaders in automotive, aerospace, medtech, and energy sectors by transforming complex, unstructured technical data into actionable insights in real-time. With investment from notable firms like Markforged, Databricks, GM, and Character, we aim to redefine engineering decision-making, simplifying complexity for top-tier manufacturers worldwide.Our cutting-edge models are designed to tackle the intricacies of engineering and manufacturing, incorporating a deep understanding of physics, design specifications, and program constraints. We are a compact yet highly skilled team composed of builders from prestigious institutions including Stanford, Berkeley, MIT, UW, and CMU, alongside industry veterans from GM, Ford, and Genesis Therapeutics. Together, we share a passion for revolutionizing hard-tech and establishing a company that sets the standard in our field.Your RoleIn the role of Senior / Staff Backend Engineer at Apiphany, you will take charge of designing, building, and scaling the essential systems that drive our intelligence platform. You will be responsible for developing low-latency backend services and APIs capable of processing extensive engineering data streams, maintaining security and compliance, and architecting systems for optimal performance and availability. Additionally, you will influence long-term architectural decisions, guide your colleagues through mentorship, and establish best practices for scaling backend services to deliver robust and high-performance applications.

At Point, we're redefining the banking landscape by transforming the everyday debit card into a gateway for rewards and benefits. Join our innovative team as we embark on this exciting journey!We are seeking a skilled Data Engineer to lead our data initiatives at Point. In this role, you will be responsible for designing and implementing robust data pipelines and systems that will support the development of cutting-edge algorithms and models. You will have full ownership of our data infrastructure while establishing the groundwork for data engineering practices at Point. Collaborating closely with both the engineering and data science teams, you will play a pivotal role in driving product initiatives and achieving our business objectives. This position reports directly to the CTO.Discover more about Point's vibrant culture and dedicated team here.

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.

About daydreamAt daydream, we are revolutionizing the SEO landscape by developing the world's most advanced SEO agent, complemented by a team of top 1% human experts. Our goal is to manage organic search intricately, freeing our clients from the burdens of hiring specialized teams, evaluating multiple tools, or managing external agencies.In today's competitive environment, excelling in search demands the production of expert-level content at scale, alongside constant adaptation to shifts in ranking systems and user behavior. Traditional tools merely provide metrics without actionable insights, while agencies rely on cumbersome manual workflows that fail to generate compounding growth. Even well-resourced teams often find it challenging to translate sustained efforts into consistent results.daydream simplifies this landscape by consolidating fragmented tools and external vendors into a single coherent system that continuously plans and executes SEO strategies. Our SEO agent takes charge of analysis, planning, and content generation, while seasoned Growth Leads translate this work into actionable outputs—shipped pages, technical adjustments, and updated priorities—holding accountability for performance over time.We have successfully raised over $20M from notable investors including First Round Capital, Basis Set Ventures, WndrCo, and SOMA Capital, and our growth is supported by industry leaders from Notion, Airtable, Webflow, and Dropbox, such as Lenny Rachitsky and Eli Schwartz, author of Product-Led SEO.The TeamYou will collaborate closely with a dedicated, senior team across engineering, design, and growth:Shravan (CTO), who previously served as an Engineering Lead at Flixed and a Software Engineer at Facebook, focusing on large-scale web scraping for Facebook Jobs and Meta Reality Labs.Vishruth (Founding Applied AI Engineer), a former Data Scientist at Klaviyo specializing in NLP, with a robust research background from Cornell.Daniel (Founding Applied AI Engineer), who previously worked as a Data Engineer on Tesla’s Autopilot team, specializing in large-scale data systems and applied machine learning, and was formerly the Lead Data Engineer at Replit.Tom (Founding Designer), who led product design at Blockless and plays a significant role in UI engineering.You will also interact directly with Growth Leads, senior SEO practitioners who manage the system daily and provide invaluable feedback on AI performance in real-world applications.Your ImpactIn your role as a Staff Engineer at daydream, you will provide vital technical leadership across the product while remaining deeply engaged in hands-on execution. You will closely collaborate with the CTO to define system architecture, guide project execution, and elevate quality standards throughout the engineering organization.

Join Our TeamAt Unity Technologies, we are on a mission to create a powerful, near real-time reporting platform that is essential for analytics and decision-making across our expansive ecosystem. We are in search of a talented Data Engineer who will play a pivotal role in architecting and implementing distributed data systems that enable this platform to operate at scale.In this dynamic role, you will design and construct high-throughput, low-latency data processing pipelines that support reporting functionalities for both internal teams and external clients. You will work at the forefront of distributed systems, stream processing, and cloud-native infrastructure, ensuring the reliability, correctness, and scalability necessary for a high-volume production setting.This is an impactful position where your engineering excellence, architectural vision, and ownership of production will be highly valued.

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!

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 Grindr as a Staff Data Scientist in a hybrid role based out of our San Francisco, Los Angeles, or Chicago offices, requiring in-office presence on Tuesdays and Thursdays.Why This Role is Unique?Grindr (NYSE: GRND) is the world’s largest LGBTQ+ social application, boasting over 14 million monthly users globally. We are not just a platform but a vital part of the LGBTQ+ community and a cornerstone of gay culture.As a Staff Data Scientist, you will collaborate closely with product managers, designers, and engineers to create insightful metrics that drive product development. You will design and implement innovative experiments, present data-driven insights for decision-making, and explore new growth strategies through comprehensive analysis. This role allows you to work on deployed models that enhance the user experience for millions, while becoming an informal ambassador for the Data Science team, educating others on effective data utilization.You will be part of a dynamic data organization at Grindr that integrates data scientists, data engineers, and ML/AI engineers into a united and collaborative team. This is a unique opportunity to learn, share knowledge, and make a significant impact alongside industry leaders.Your ResponsibilitiesExtract actionable insights from complex, open-ended queries.Design and assess experiments to evaluate the impact of product changes.Analyze product data to identify root causes behind metric fluctuations.Effectively communicate findings to cross-functional stakeholders to inform product strategies.Develop tools to scale and automate analyses, enhancing company productivity.Mentor and guide team members, recommending best practices.Apply an engineering mindset to reduce complexity while maximizing utility and maintainability.Contribute to the development of future ML solutions to enhance recommendations, detect spam, and better serve our users.

Role Overview Crusoe is seeking a Senior Staff Software Engineer focused on CAPE for its San Francisco office. This role centers on designing and building software solutions that support Crusoe's mission to advance technology in the energy sector. What You Will Do Design and implement software systems for CAPE projects Collaborate with cross-functional teams to deliver solutions that align with user needs and company goals Tackle complex technical challenges in support of Crusoe's energy initiatives What We Look For Strong technical background in software engineering Experience solving complex problems and delivering reliable software Ability to work effectively with colleagues across multiple disciplines Location San Francisco, CA - US

P-150 At Databricks, we are dedicated to empowering data teams to tackle some of the world's most challenging problems, ranging from security threat detection to the development of cancer treatments. We achieve this by creating and managing the leading data and AI infrastructure platform, allowing our clients to concentrate on the high-value challenges central to their missions. Founded in 2013 by the original creators of Apache Spark™, Databricks has evolved from a modest office in Berkeley, California, to a global enterprise with over 1000 employees. Our platform is trusted by thousands of organizations, from startups to Fortune 100 companies, establishing us as one of the fastest-growing SaaS firms worldwide. Our engineering teams design and develop highly technical products that meet significant real-world needs. We continually push the limits of data and AI technology while maintaining the resilience, security, and scalability essential for our customers' success on our platform. We operate one of the largest-scale software platforms, comprising millions of virtual machines that generate terabytes of logs and process exabytes of data daily. Given our scale, we frequently encounter cloud hardware, network, and operating system faults, and our software must effectively shield our customers from any disruptions. As a Software Engineer focused on backend development, you will collaborate closely with your team and product management to prioritize, design, implement, test, and operate microservices for the Databricks platform and products. This role includes writing software in Scala/Java, building data pipelines using Apache Spark™ and Apache Kafka, integrating with third-party applications, and interacting with cloud APIs such as AWS, Azure, CloudFormation, and Terraform. Below are examples of teams you can join: Data Science and Machine Learning Infrastructure: Develop services and infrastructure that bridge the gap between machine learning and distributed systems. Our technology supports flagship collaborative workspaces, notebooks, IDE integrations, and project management tools. We also facilitate large-scale machine learning through environment management, distributed training, and lifecycle management via MLflow. Compute Fabric: Construct the resource management infrastructure that supports all big data and machine learning workloads on the Databricks platform in a robust, flexible, secure, and cloud-agnostic manner. This software oversees millions of virtual machines.

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.

At Tanagram, we are on a mission to revolutionize agentic coding by transforming the way engineering lessons are harvested from codebases, code reviews, incident post-mortems, and Slack communications. Our innovative approach provides real-time guardrails that identify and rectify risky coding patterns, empowering teams to accelerate their shipping process while minimizing potential pitfalls.We are assembling a small, diverse group of outstanding engineers who are passionate about the future of agentic coding. Our ideal candidates are detail-oriented, possess a high level of agency, and are adept at identifying critical problems to solve, building exceptional products, and continuously iterating towards superior solutions.In this role, you will engage with our entire technology stack, from our Typescript + React frontend to our Python/Go backend and LLM infrastructure. You should possess a keen intuition for selecting the right tools and configuring them to achieve optimal user results.You are proactive and prefer to take immediate action rather than postponing tasks. You communicate your intentions clearly and follow through promptly.We operate in a hybrid work environment, primarily based in San Francisco (Mission Bay) and NYC, but we welcome strong remote candidates. For more insight into our work culture, refer to our guidelines.

About MetaDAOMetaDAO is at the forefront of revolutionizing decision-making through innovative decision markets, empowering individuals and organizations to shape the most critical choices in the world.Our flagship offering is a cutting-edge fundraising platform that leverages decision markets to minimize the risks of fraud and misallocation for investors. Since its monetization in October 2025, the platform has achieved a remarkable run rate revenue of approximately $9 million annually.With $12 million raised from leading investors, we are dedicated to assembling a world-class team. If you share our belief in the transformative power of markets, we invite you to join us in this exciting journey.

Role overview Chime’s Data Engineering team develops the systems that power data-driven decisions across the company. Senior Data Engineers play a key role in designing and implementing scalable data pipelines and frameworks, making sure analytics remain reliable and well-governed. This work supports teams across Chime as they build new capabilities and improve how data informs business choices. What you will do Build and maintain scalable data pipelines and frameworks to support analytics Create solutions that keep data accessible, accurate, and governed Design workflows for analytics and reporting used throughout the organization Help shape data engineering practices that can influence fintech standards Compensation and benefits The base salary for this Senior Data Engineer position ranges from $164,000 to $227,000. Full-time employees are also eligible for bonuses, equity options, and a comprehensive benefits package. Final salary depends on skills, qualifications, and experience.

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.