Engineering Manager - Collection Engineering (Data Protection Team)

About the Role Tipalti Solutions is growing and looking for a Data Engineer in the Tel Aviv District. This role centers on developing and refining data integration processes, building data pipelines, and strengthening the company’s data platform. The position supports analytics across teams, systems, and products. What You Will Do Design and implement ELT and streaming processes, including SQL queries, to move data between the data warehouse and other sources. Create scalable, automated workflows for large-scale data analysis. Help develop dashboards and datasets that deliver actionable insights. Work with business owners to build datasets tailored to their specific questions. Collaborate with analytics and business teams to improve data models for business intelligence tools and support data-driven decisions. Partner with engineering teams to plan long-term data platform architecture. Maintain and enhance data lake pipelines, including schema management and ongoing improvements. Who Succeeds Here This role suits someone who enjoys building and optimizing data systems from the ground up, manages data efficiently, and works well with diverse teams. A self-motivated approach and an interest in evolving data architecture are important.

Role Overview Shift4 Payments, Inc. is hiring a Senior Data Engineer to join the Data Infrastructure team in Herzliya. This team builds and maintains the data systems that support Shift4’s payment processing and technology products. What You Will Do Design, build, and maintain scalable data pipelines Work closely with data scientists and analysts to improve data workflows Ensure data integrity across systems and processes Impact and Collaboration This role shapes the backbone of Shift4’s data capabilities. Senior Data Engineers here help strengthen the company’s data infrastructure, supporting both current needs and future growth.

MyHeritage is seeking a visionary Data Engineering Team Leader to spearhead our exceptional team in architecting and developing our data infrastructure. In this pivotal leadership role, you will be instrumental in planning, designing, and deploying MyHeritage's data platform. Our organization thrives on data — join us in the movement toward data democratization! Are you ready to embrace challenges in crafting innovative data solutions and managing state-of-the-art big data architectures at scale? With a complex ecosystem comprising over 7 billion individual profiles and 30 billion historical records, you'll have the opportunity to address substantial big data challenges in a modern Continuous Integration/Continuous Deployment (CI/CD) environment. Engage with various data types, including structured, unstructured, free-text, and DNA genome data. Your role will involve gathering and defining the organization’s data needs while collaborating closely with numerous stakeholders. You'll adopt a comprehensive view of their challenges, propose effective solutions, and lead a high-performing data engineering team to realize them. Your efforts will foster robust alignment and widespread adoption across the organization. Your contributions will help create an online platform that provides profound emotional value to millions of families worldwide.

Join Armis, a leader in cyber exposure management and security, where we protect organizations by safeguarding their entire attack surface and managing cyber risk exposure in real time. In today's fast-paced, perimeter-less world, we ensure that businesses can continuously see, protect, and manage their essential assets, from ground to cloud. Our clients include Fortune 100, 200, and 500 companies, along with various national and local government entities, all working to keep critical infrastructure, economies, and societies secure around the clock.We are a privately held company based in California, and we are looking for a highly skilled Senior Engineer to enhance our Data Platform Team. This is your chance to work on cutting-edge technologies, drive innovation, and play a pivotal role in designing and implementing our data infrastructure and architecture.What You'll DoDatabase Infrastructure Development - Design, develop, and maintain a scalable and reliable self-service database infrastructure, utilizing PostgreSQL, MongoDB, SingleStore, and AWS Aurora.Big Data Infrastructure Development - Create and manage scalable and dependable big data infrastructure, focusing on cloud-agnostic data lakehouses, distributed databases, and platform-powered data pipelines.End-to-End Ownership - Assume accountability for the full lifecycle of data infrastructure, from DevOps (Terraform, Kubernetes) to application-level components (infrastructure libraries, core components in data pipelines).Architecture Leadership - Collaborate with the Architecture group to define and maintain the company's core architectural vision.Work closely with development teams, providing technical guidance, best practices, and support from the design phase through to production deployment.Innovation and Exploration - Engage in diverse and impactful projects across various layers of the tech stack, exploring new technologies and methods to enhance reliability, efficiency, and scalability.

Senior Software Data Engineer We are seeking an innovative and experienced Senior Software Data Engineer to join our dynamic Engineering team and spearhead the advancement of our next-generation data platform. This pivotal role requires a blend of technical expertise and leadership skills, allowing you to act as a player-coach. You will be the visionary architect responsible for designing a robust ecosystem while being actively involved in implementing scalable, secure, and intelligent solutions that enhance everything from operational reporting to cutting-edge GenAI applications. Your ability to bridge the gap between complex business requirements and technical execution will be crucial as you advocate for a data-first culture. This position starts as an individual contributor role but offers a clear pathway for growth into leadership opportunities. Why join Tipalti? Tipalti is an AI-driven platform revolutionizing finance automation, transforming how finance teams operate within the global economy. We empower our clients to scale efficiently and effectively by simplifying global business complexities and enhancing finance operational efficiency. Our comprehensive suite of finance automation solutions is tailored for mid-market businesses, covering areas such as accounts payable, global payouts, procurement, employee expenses, corporate cards, supplier management, tax compliance, and treasury. Tipalti collaborates with top financial institutions like Citi, Wells Fargo, J.P. Morgan, and Visa, enabling over 5,000 global companies to securely and efficiently manage payments to millions of suppliers and payees across more than 200 countries and territories, in 120 currencies. At Tipalti, we take pride in our collaborative culture, the quality of our products, and the capabilities of our people. Our team members are passionate about their work and driven to achieve results. We offer competitive benefits, a flexible work environment, career coaching, and a culture that fosters diversity and inclusion, allowing everyone to thrive and make a meaningful impact. Our ethos encourages collaboration and success as a unified team. Founded in 2010 in Israel, Tipalti has grown into a global enterprise with its headquarters in the San Francisco Bay Area (Foster City) and offices located in Tel Aviv, Plano, Toronto, Vancouver, London, Amsterdam, Tbilisi, and Medellin. About the Role Architecture & Hands-on Execution: Design and actively build a comprehensive data platform. You will not only oversee infrastructure but also write core code and develop tools that support a variety of workloads, from operational reporting to complex analytical queries. Strategic & Technical Delivery: Collaborate closely with product managers and cross-functional teams to deliver high-quality data solutions.

Capitolis develops technology designed to make financial markets safer and more efficient. The platform helps ease capital constraints and broadens access to capital and investment opportunities. Since 2017, the company has delivered solutions for both global and regional banks, as well as institutional investors. Capitolis is supported by a group of investors that includes Canapi Ventures, 9Yards Capital, SVB Capital, Andreessen Horowitz (a16z), Index Ventures, Sequoia Capital, Spark Capital, and S Capital. Major banks such as Barclays, BNP Paribas, Citi, J.P. Morgan, Morgan Stanley, Standard Chartered, State Street, and UBS also back the company. The team brings decades of combined experience in technology and financial services, with many members having founded successful startups. Capitolis has received recognition from several organizations in recent years. Named to the Inc. 2024 Best in Business list for Financial Services and Innovation & Technology Recognized for three consecutive years at the 2025 Euromoney Foreign Exchange Awards Featured on CNBC’s World's Top Fintech Companies list for the past three years Included in Deloitte’s Technology Fast 500 list

Autofleet helps major fleet operators and transportation providers improve efficiency and launch new business models. The platform relies on advanced data infrastructure to power machine learning and real-time optimization. Role Overview The Senior Data Engineer will take ownership of Autofleet’s backend data infrastructure. This role focuses on building and scaling the systems that enable real-time analytics, machine learning, and operational insights. What You Will Do Design, build, and maintain scalable data pipelines for both batch and real-time processing using Spark and other modern tools. Manage backend data infrastructure, including ingestion, transformation, validation, and orchestration of large datasets. Work with Google Cloud Platform (GCP) to architect and operate secure, cost-effective, and scalable data solutions. Develop and refine ETL/ELT workflows to support analytics, internal applications, and machine learning projects. Create and maintain data marts and models with a focus on performance, data quality, and sustainability. Collaborate with development, product, and external teams to understand data needs and translate them into scalable solutions. Shape architectural decisions related to distributed data processing, pipeline reliability, and system scalability. Location This position is based in Tel Aviv-Yafo, Tel Aviv District, Israel.

Join the forefront of cloud networking and security!Cato Networks is pioneering the integration of enterprise networking and security into a singular, global cloud service. Under the visionary leadership of Shlomo Kramer, a distinguished figure in networking and security, we have created a groundbreaking technology that has defined a new market category known as 'SASE', projected to reach $28.5 billion by 2028.This is your chance to be part of an innovative team that is shaping the future of enterprise networks and secure cloud platforms. Don’t miss this opportunity to join a fast-growing company on its way to becoming a global leader!We are seeking a talented Software Engineer to be part of our Data Platform Group. In this pivotal role, you will be instrumental in developing our data platform, focusing on cloud-based microservices and data pipelines. The work you do will have a direct impact on our customers and support various teams across the organization. You will be tasked with building microservices capable of managing big data at scale (approximately 1 million records per second) with low latency, all while collaborating with a dynamic team.

Join Our Visionary Team at Orca Security!At Orca Security, we believe that with the right environment and a supportive team, there are no limits to talent. Our collaborative spirit and relentless ambition have propelled us to unicorn status, establishing us as a global leader in cloud security innovation. If you're ready to be part of a remarkable team that inspires each other daily, this is your opportunity to join us!We are on the lookout for passionate and skilled individuals who are eager to join our Sales team and contribute to transforming the future of cloud security. Are you ready to dive in and swim with us?Why Choose Us?Rapid Growth: Over the last seven years, we have consistently surpassed milestones that often take a decade for other companies to achieve. Our employee base has expanded significantly, our customer reach has grown, and our product capabilities have advanced at an impressive pace.Innovative Disruption: Our founders recognized the shortcomings of traditional security solutions for the cloud and embarked on a journey to create a new paradigm. We are pioneering agents of change, having developed agentless technology and continuously enhancing our status as the most comprehensive and innovative cloud security provider.Strong Financial Backing: With a valuation of $1.8 billion, Orca Security stands as a cybersecurity unicorn leading the cloud security landscape. We are supported by a stellar group of investors, including Capital G, ICONIQ, GGV, and SVCI, a consortium of CISOs who invest their own resources after thorough evaluations.Culture of Respect and Transparency: Our executives are committed to accessibility and knowledge sharing. Every employee has a voice in shaping the future of our industry.Your Role:As the Team Lead for the Data Platform, you will steer one of Orca's most critical engineering teams responsible for developing and refining the core data ingestion and processing infrastructure that supports our entire platform. Your team will manage billions of cloud signals daily, ensuring scalability, reliability, and efficiency across Orca's architecture.Your leadership will guide a talented group of senior engineers, providing both technical and managerial direction while remaining actively involved in design and implementation. Together, you will make pivotal architectural decisions and advance our ingestion and processing frameworks to facilitate real-time data pipelines, enhance observability, and enable greater horizontal scalability.We seek an experienced Team Leader who is excited to make a foundational impact on Orca's next generation of cloud security solutions.

About Eleos Health:In an age where mental health is openly discussed, Eleos Health is at the forefront of transforming behavioral care through data-driven solutions. We believe that prioritizing mental health is essential and our mission is to empower clinicians with the tools they need to provide personalized and effective care.Opportunity Overview:We are on the lookout for a Senior Backend Engineer – Data Platform to join our dynamic team. In this pivotal role, you will be responsible for designing, building, and maintaining robust and scalable data pipelines and infrastructure that facilitate data-driven decision-making. You will directly support the development and deployment of AI/ML products that enhance the services provided by Eleos Health.As a key member of our Data Platform team, you will collaborate closely with engineering, product management, and data science teams to ensure our data systems are resilient, high-quality, and scalable as we expand. You will lead initiatives to deliver reliable and efficient data services, enabling rapid development of advanced features and AI-driven capabilities that enhance clinician and client outcomes.

Our PurposeAt SentinelOne, we are motivated by a bold mission: to empower those who safeguard our future. As artificial intelligence transforms organizational operations, the imperative to protect them grows increasingly vital. By joining SentinelOne, your contributions will shield global enterprises, critical infrastructure, and the technologies that will define tomorrow. If you are inspired by significant challenges and desire your impact to be tangible, measurable, and far-reaching, you will find your purpose here.About UsSentinelOne stands at the forefront of AI and security, innovating a revolutionary approach to cybersecurity. Our AI-driven platform integrates protection across endpoints, cloud environments, identities, data, and AI systems, providing autonomous detection and response with both clarity and speed. By leveraging real-time analytics, intelligent automation, and a cohesive data foundation, we mitigate noise, streamline complexity, and empower security teams to concentrate on what genuinely matters.Our teams are innovators, problem-solvers, and builders dedicated to shaping the future of security. If you are eager to tackle challenging problems alongside passionate, mission-driven colleagues, we invite you to help construct a safer future for humanity.What Are We Looking For?We seek individuals who are perpetually curious and committed to ongoing learning. As AI transforms every function across our organization, we equip every team member—regardless of their role or level—with the ability to develop fluency in AI tools and principles. Those who thrive here actively pursue new solutions, experiment judiciously, and apply their insights to foster better, faster, and smarter outcomes.In the role of Senior Software Engineer - C++ for Endpoint Security within our Data Protection Team, you will design and implement low-level C++ or Rust agent modules as a vital contributor to our newly established Data Protection unit. Your responsibilities will include researching and developing high-fidelity sensors and resilient, scalable code to monitor and prevent sensitive data leakage across multiple operating systems. By creating these essential collection engines, you will be instrumental in defining the technical architecture for SentinelOne’s next generation of data-centric security.What Will You Do?Design and implement low-level agent modules (using C++ or Rust), capable of monitoring data access and movement with minimal performance overhead.Research and evaluate technologies for building high-fidelity sensors that track data access.

Join Apiiro — Accelerate Secure Software Development Apiiro is an innovative startup leading the way in the application security sector. Our state-of-the-art platform empowers development teams to create secure software rapidly, allowing for faster progress while effectively managing risks. As trailblazers in the app-sec arena, we are transforming the landscape of secure software development. If you seek an exhilarating opportunity to make a profound impact and grow alongside a dedicated team, Apiiro is the perfect fit for you. About Our Team We are committed to delivering pioneering, AI-driven automated application security features within our ASPM product. Our agile team prioritizes seamless transitions from design to production, deployment, and continuous monitoring. We specialize in operationalizing machine learning, data science, and AI solutions into robust, secure, and high-performing security functionalities. Your Responsibilities Become an integral part of a cross-functional AI innovation team, collaborating closely with software engineers, MLOps experts, and analysts. Design, develop, and enhance end-to-end AI-powered features - from experimentation and model training to validation and deployment. Create production-quality code (Python and C#) to integrate sophisticated models and data-driven functionalities into our flagship products. Regularly assess model performance and data quality in practical environments, actively promoting enhancements, retraining, and comprehensive monitoring. Your Profile B.Sc. in Computer Science, Mathematics, or related field. Over 4 years of hands-on experience in applied data science or machine learning roles. Experience in developing solutions utilizing agents, LLMs, generative AI, and advanced AI/ML frameworks. Proficient in crafting clean, maintainable, and efficient Python code. Preferred (not mandatory): Familiarity with additional programming languages such as Java or C#. M.Sc. in Computer Science, Mathematics, or related field. Independent, proactive, and adaptable. Adept at problem-solving and innovative solution development. Excellent teamwork and communication abilities; thrive in highly collaborative, diverse teams. Creative and committed to continuous learning, staying updated on the latest technologies.

As payment processing technology rapidly transforms, businesses seek reliable and strategic partners to foster growth.Introducing Nuvei, a Canadian fintech leader dedicated to propelling businesses forward across the globe. Our flexible, modular, and scalable technology empowers top-tier companies to accept next-gen payments, provide diverse payout options, and benefit from comprehensive services such as card issuance, banking, risk management, and fraud mitigation. With a presence in over 200 markets, local acquiring in 50 markets, acceptance of 150 currencies, and 700 alternative payment methods, Nuvei equips clients and partners with the technology and insights needed to thrive locally and globally through a single integration.At Nuvei, we embody our core values and excel at solving complex challenges. Our commitment to relentless customer service and continuous product enhancement drives us to seek exceptional talent to join our journey!Your MissionWe are in search of a Director of Data Products to spearhead our global product data strategy and governance. In this pivotal role, you will define the vision and oversee the implementation and continuous enhancement of data capture, structuring, and utilization across Nuvei’s product ecosystem. Collaborating closely with Product, Engineering, BI, and Operations teams, you will ensure data excellence, facilitate data-driven decision-making, and unlock insights that optimize our products, elevate customer experience, and accelerate business growth.ResponsibilitiesDevelop and implement a comprehensive product data strategy that aligns with Nuvei’s business objectives.Establish and oversee data standards, taxonomy, and governance frameworks across all product lines.Collaborate with Product, BI, and Engineering teams to design scalable data models and an infrastructure that supports product analytics, reporting, and performance tracking.Lead a cross-functional data excellence initiative to ensure high-quality, accurate, and consistent data.Engage with product managers to integrate data-driven decision-making into product planning, experimentation, and optimization processes.Supervise the implementation of data instrumentation and tracking for new product launches.Partner with the Analytics and Data Engineering teams to guarantee data availability and reliability across systems. Requirements8+ years of experience in data strategy, analytics, or product data management, preferably within fintech, SaaS, or payments sectors.Proven expertise in building and scaling product data frameworks and governance models.Deep understanding of data architecture, pipelines, and data quality management.Experience in leading cross-functional teams and data-driven initiatives.

Join Connecteam:Connecteam stands as the premier platform for managing deskless teams, trusted by over 80,000 businesses globally. Our platform is designed for operational leaders — those who oversee shifts, jobs, and teams across various sites. Connecteam eliminates the chaos of messy spreadsheets, scattered communications, and unintegrated tools by providing a streamlined app that consolidates daily operations and team collaboration. From hiring and scheduling to training and task management, we empower teams with the clarity and control to excel in their roles, day in and day out.Supported by over $220 million in funding from Insights Partners, Stripes, and Tiger Global, Connecteam is on a rapid expansion trajectory, enabling frontline teams to work more intelligently, maintain connectivity, and enhance operational efficiency.Role Overview:We are seeking a seasoned Data Product Manager with a robust background in Data Science and Analytics to spearhead data-driven solutions. In this pivotal role, you will shape and execute the vision and strategy for data and analytics products that bolster our Marketing, Growth, and Acquisition efforts. You will bridge the realms of business, analytics, data science, and AI, transforming marketing challenges and business queries into scalable data products, defined KPIs, and measurement frameworks that enhance acquisition efficiency, ROI, and sustainable revenue growth. You will collaborate across departments, closely partnering with Marketing leaders, Data Scientists, Data Engineers, Analytics teams, and Product Managers to embed advanced modeling, analytics, and AI capabilities into everyday marketing decisions.

Join WEKA as we redefine the enterprise data stack for the reasoning age. Our innovative solution, NeuralMesh by WEKA, sets the benchmark for agentic AI data infrastructure, offering cloud and AI-native software that can be deployed in any environment. We revolutionize traditional data silos by transforming them into efficient data pipelines that vastly enhance GPU utilization. This leads to faster AI model training and inference, optimizing machine learning and other compute-intensive tasks while reducing energy consumption. As a pre-IPO, high-growth company, WEKA has secured $375 million in funding from premier venture capital and strategic investors. We empower leading enterprises and research institutions, including 12 of the Fortune 50, to achieve breakthroughs and drive business success more rapidly and sustainably. If you're passionate about tackling complex data challenges and fostering intelligent innovation, we welcome you to embark on this exciting journey with us.

Our PurposeAt SentinelOne, our mission is to empower those who protect our digital future. As AI transforms the landscape of technology, our commitment to safeguarding organizations has never been more crucial. Joining SentinelOne means your efforts contribute to the safety of global enterprises, vital infrastructure, and the innovations of tomorrow. If you seek meaningful challenges with a tangible, worldwide impact, you'll find your purpose here.About UsSentinelOne stands at the forefront of AI-driven security solutions, innovating a comprehensive model for cybersecurity. Our AI-native platform integrates protection across endpoints, cloud environments, identities, data, and AI systems, providing autonomous detection and response with unparalleled speed and clarity. By leveraging real-time analytics and intelligent automation, we streamline complexities and allow security teams to focus on what truly matters.Our workforce consists of builders, problem solvers, and innovators dedicated to redefining the future of security. If you're eager to tackle challenging problems with a group of talented, mission-driven individuals, we welcome you to join us in creating a safer world.What Are We Looking For?We seek individuals who are perpetually curious and dedicated to ongoing learning. As AI continues to reshape every aspect of our business, we empower every employee, regardless of their role or level, to gain proficiency in AI tools and concepts. Those who flourish in our environment actively pursue innovative solutions, thoughtfully experiment, and apply their insights to achieve improved, rapid outcomes.As a Senior Software Engineer - C++ Endpoint Security, Collection Engineering (Data Protection Team), you will be a key player in our Data Protection unit, designing and implementing low-level C++ or Rust agent modules. Your responsibilities will include developing high-fidelity sensors and robust, scalable code to monitor and prevent sensitive data leakage across various operating systems. By creating these essential collection engines, you will significantly influence the technical architecture for SentinelOne’s next-generation data-centric security.

About Connecteam: Connecteam is the premier platform designed for the management of deskless teams, with a trusted user base of over 80,000 businesses globally. We developed Connecteam for real-world operators: those overseeing shifts, jobs, and teams across various locations. This work often takes place outside of traditional office environments, where messy spreadsheets and disjointed communication tools are not viable solutions. Our platform consolidates daily operations and team communications into a single, intuitive application - encompassing hiring, scheduling, training, task management, and everyday coordination. It empowers teams with the clarity and control necessary to navigate their day efficiently, shift after shift, job after job. With the support of over $220 million from prominent investors such as Insights Partners, Stripes, and Tiger Global, Connecteam is on a fast track to global expansion, enabling frontline teams to work more intelligently, stay connected, and achieve higher levels of efficiency. Role Overview: We are in the process of developing the next generation of our analytics platform, which will integrate robust data engineering principles with AI-driven automation to significantly enhance analytics development throughout the company. We seek a Senior Analytics Engineer to design and establish the engineering foundation that underpins analytics across our organization. Our mission is to establish a modern data environment that ensures analytics development is swift, reliable, scalable, and increasingly automated. This involves constructing solid data warehouse foundations, scalable modeling layers, and integrating AI-powered tools and automation to expedite the creation and utilization of data products. In this position, you will collaborate within an analytics squad, working closely with analysts and business stakeholders to build infrastructure, automation frameworks, and intelligent tools that facilitate scalable analytics across the organization. This is an exceptional opportunity to contribute to the evolution of our data organization.

Cato Networks seeks a Data Scientist to join the team in the Tel Aviv District. The position centers on analyzing large datasets to reveal insights that guide data-driven choices and help shape cybersecurity product development. Key responsibilities Collaborate with data professionals to address practical cybersecurity problems Use advanced statistical techniques and machine learning algorithms to develop predictive models Create data visualizations to present findings and inform decision-making Support the improvement of Cato Networks' products through in-depth data analysis Location This role is based in the Tel Aviv District, Israel.

Temporary Marketing Data Analyst (10 Months) About Connecteam Connecteam provides a platform built for managing deskless teams, serving over 80,000 businesses worldwide. The platform helps operators handle shifts, jobs, and team coordination, replacing scattered spreadsheets and fragmented tools with a single application. From hiring and scheduling to training and daily communication, Connecteam brings everything together. With backing of more than $220 million from top investors, the company continues to grow and support frontline teams in staying organized and connected. Role Overview This temporary Marketing Data Analyst position runs for 10 months and is based in the Tel Aviv District, Israel. The analyst will focus on delivering insights and improving organizational visibility. The role involves working with advanced technologies and collaborating in a workplace that values innovation. Main Responsibilities Partner with growth, performance marketing, and user acquisition teams within the marketing group. Analyze marketing funnels, review campaign performance, and refine attribution models to improve ROI and support scalable growth. Apply knowledge of marketing metrics such as CAC, LTV, and conversion rates to turn data into actionable recommendations for marketing efforts. Create operational dashboards customized for different marketing specializations. Work with business process improvement and operations management to help build a solid analytics framework. Participate in quarterly planning and roadmapping with operations management and product teams. Prepare monthly performance reports, including statistical analysis, key findings, and strategic suggestions. Support product launches by identifying and reducing friction to improve user experience.