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Similarweb
Actively Hiring12 open positions matching criteria
At Similarweb, we are revolutionizing the way businesses interact with the digital world by revealing to them everything that happens online. Our unique data and solutions empower thousands of customers globally, including industry giants like Google, eBay, and Adidas, to make game-changing decisions that drive their digital strategies. In 2021, we went public on the New York Stock Exchange, and we continue to reach new heights! Come work alongside Similarwebbers across the globe who are bright, curious, practical, and good people. We are looking for a talented and dedicated ML & Big Data Analyst who will be a part of the Core Data group. As part of this role, you will help us process and streamline rich and complicated datasets. Will explore and validate new data sources. Be part of the data science and data engineering force creating new features for our solution. What does the day-to-day of an ML & Big Data Analyst at Similarweb look like: Apply your expertise in quantitative analysis and data mining to turn data into insights. Conduct research and develop tools that will ensure the quality of Similarweb’s data and algorithms. Utilize your deep understanding of Similarweb’s data in order to evaluate and improve novel algorithms produced by the data scientists in your team. Partner with Big Data Engineers to establish an infrastructure to scale solutions. What will I bring to the team? At least 5 years of work experience as Analyst in a Tech Company - Must At least 2 years' experience in Python scripting - Must Experience with SQL for data analysis -Must Knowledge and understanding of the statistical principles, concepts, methods, and standards- Must Hadoop/Spark/AWS Infrastructure experience - Big Advantage Ability to visualize data and experience with a visualization tool and modules (mlplot, matplolib, sns)- Big Advantage Excellent verbal and communication skills (in English) - Must Team player, autodidact, fast learner with excellent analytical, research, and business skills. Why you’ll love being a Similarwebber: You’ll actually love the product you work with : Our customers aren’t our only raving fans. When we asked our employees why they chose to come work at Similarweb, 99% of them said “the product.” Imagine how exciting your job is when you get to work with the most powerful digital intelligence platform in the world. You’ll find a home for your big ideas : We encourage an open dialogue and empower employees to bring their ideas to the table. You’ll find the resources you need to take initiative and create meaningful change within the organization. We offer competitive perks & benefits: We take your well-being seriously, and offer competitive compensation packages to all employees. We also put a strong emphasis on community, with regular team outings and happy hours. You can grow your career in any direction you choose: Interested in becoming a VP or want to transition into a different department? Whether it’s Career Week, personalized coaching, or our ongoing learning solutions, you’ll find all the tools and opportunities you need to develop your career right here. Diversity isn’t just a buzzword: People want to work in a place where they can be themselves. We strive to create a workplace that is reflective of the communities we serve, where everyone is empowered to bring their full, authentic selves to work. We are committed to inclusivity across race, gender, ethnicity, culture, sexual orientation, age, religion, spirituality, identity and experience. We believe our culture of equality and mutual respect also helps us better understand and serve our customers in a world that is becoming more global, more diverse, and more digital every day. We will handle your application and information related to your application in accordance with the Applicant Privacy Policy available here, as applicable: HTTPS://WWW.SIMILARWEB.COM/CORP/LEGAL/APPLICANT-PRIVACY-POLICIES We will handle your application and information related to your application in accordance with the Applicant Privacy Policy available here .
View more...At Similarweb, we are revolutionizing the way businesses interact with the digital world by revealing to them everything that happens online. Our unique data and solutions empower over 4,300 customers globally, including industry giants like Google, eBay, and Adidas, to make game-changing decisions that drive their digital strategies. In 2021, we went public on the New York Stock Exchange, and we continue to reach new heights! Come work alongside Similarwebbers across the globe who are bright, curious, practical and good people. We are looking for a Senior Fullstack Engineer with a strong backend orientation (80%) to join the development of our scalable, AI-powered product systems. What You'll Do: Join a role that combines deep backend expertise with solid frontend fluency and product thinking, along with the ability to leverage AI tools effectively across the development lifecycle. You will work closely with product, design, frontend, and data/AI teams to build reliable, performant systems and intuitive user experiences, while driving engineering excellence and modern development practices. Your contributions will shape the technical foundation of an AI-first product and directly influence the experience of end users. What does the day to day of a Senior Fullstack Engineer at Similarweb look like: Your daily work will span backend architecture, frontend collaboration, and AI-augmented development, engaging directly with the systems that power our product. Your role will include: Design and build scalable, maintainable backend services using NestJS (Node.js/TypeScript) and/or Python Own API design, contracts, and versioning across services Design and optimize data models, database schemas, and query performance Implement authentication, authorization, and secure API integration patterns Build reliable data-fetching layers, caching strategies, and async processing (queues, jobs, events) Lead backend technical decisions, code quality standards, and system architecture Ensure system scalability, fault tolerance, and observability (logging, monitoring, alerting) Contribute to CI/CD pipelines and deployment practices for backend services Collaborate on frontend applications built with React, TypeScript, and Vite, and contribute to API contracts from the consumer's perspective Partner with frontend engineers to align on data shapes, performance, and UX constraints Translate product requirements into robust, scalable technical solutions, working closely with product and design Conduct high-quality code reviews and drive architectural discussions and best practices Improve testing, observability, CI/CD, and system reliability across the team Use AI coding tools effectively in daily development work (Cursor, Copilot, Claude, ChatGPT, etc.), critically evaluating and refining AI-generated code, especially for backend logic and data integrity Design efficient personal/team workflows for AI-assisted development and contribute to engineering productivity through AI tooling and automation What does the ideal candidate look like: 5+ years of Full stack or Backend engineering experience, with a strong backend focus(80%)- Must Strong proficiency in Node.js, TypeScript, and NestJS; Python proficiency also welcome (or equivalent backend framework)- Must Solid working proficiency in React and modern frontend fundamentals (HTML, CSS) Experience designing scalable backend architectures and data models Deep understanding of API design, authentication flows, and distributed system tradeoffs Experience with relational and/or NoSQL databases, including query optimization Strong understanding of system performance, reliability, and security best practices Experience with testing methodologies (unit, integration, E2E) and observability tooling Hands-on experience using AI development tools in daily workflows, with the ability to validate, debug, and improve AI-generated code Understanding of prompt engineering for engineering workflows and the ability to work effectively in fast iteration environments Strong product and technical intuition, with excellent communication and collaboration skills Nice to have: experience with data platforms, analytics products, or BI tools; large-scale data processing or query optimization; streaming/real-time data patterns; or integrating with LLM APIs Why you'll love being a Similarwebber: You'll actually love the product you work with: Our customers aren't our only raving fans. When we asked our employees why they chose to come work at Similarweb, 99% of them said "the product." Imagine how exciting your job is when you get to work with the most powerful digital intelligence platform in the world. You'll find a home for your big ideas: We encourage an open dialogue and empower employees to bring their ideas to the table. You'll find the resources you need to take initiative and create meaningful change within the organization. We offer competitive perks & benefits: We take your well-being seriously, and offer competitive compensation packages to all employees. We also put a strong emphasis on community, with regular team outings and happy hours. You can grow your career in any direction you choose: Interested in becoming a VP or want to transition into a different department? Whether it's Career Week, personalized coaching, or our ongoing learning solutions, you'll find all the tools and opportunities you need to develop your career right here. Diversity isn't just a buzzword: People want to work in a place where they can be themselves. We strive to create a workplace that is reflective of the communities we serve, where everyone is empowered to bring their full, authentic selves to work. We are committed to inclusivity across race, gender, ethnicity, culture, sexual orientation, age, religion, spirituality, identity and experience. We will handle your application and information related to your application in accordance with the Applicant Privacy Policy available here .
View more...At Similarweb, we are revolutionizing the way businesses interact with the digital world by revealing to them everything that happens online. Our unique data and solutions empower over 4,300 customers globally, including industry giants like Google, eBay, and Adidas, to make game-changing decisions that drive their digital strategies. In 2021, we went public on the New York Stock Exchange, and we continue to reach new heights! Come work alongside Similarwebbers across the globe who are bright, curious, practical, and good people. Role Summary: We are looking for a Data Engineer to join our team and play a key role in designing, building, and maintaining scalable, cloud-based data pipelines. You will work with AWS services , Airflow and databricks to integrate, process, and analyze large datasets, ensuring data reliability and efficiency. Your work will directly impact business intelligence, analytics, and data-driven decision-making across the company. What You’ll Do: ETL & Data Processing: Develop and maintain ETL processes, integrating data from various sources (APIs, databases, external platforms) using Python, SQL, and cloud technologies. Utilize LangGraph and other frameworks to create state of the art AI agents that integrate various tools and data sources. Implement integrations that allow agents to take automated actions on behalf of users, streamlining workflows and reducing overhead. Data Modeling: Design and maintain logical and physical data models to support business needs. Optimization & Scalability: Improve process efficiency and optimize runtime performance to handle large-scale data workloads. Collaboration: Work closely with BI analysts and business stakeholders to define data requirements and functional specifications. Monitoring & Troubleshooting: Ensure data integrity and reliability by proactively monitoring pipelines and resolving issues. Requirements: Education & Experience: BSc in Computer Science, Engineering, or equivalent practical experience. 5+ years of experience in data engineering or related roles. Technical Expertise: Proficiency in Python for data engineering and automation. Experience with Big Data technologies such as Spark, Databricks, DBT, and Airflow. Hands-on experience with AWS services (S3, Redshift, Glue, Managed Airflow, Lambda) Knowledge of Docker, Terraform, Kubernetes, and infrastructure automation. Strong understanding of data warehouse (DWH) methodologies and best practices. Soft Skills: Strong problem-solving abilities and a proactive approach to learning new technologies. Excellent communication and collaboration skills, with the ability to work independently and in a team. Nice to Have ( Advantage): Experience with LangGraph, LangChain, or similar frameworks for building AI agents. Understanding of LLMs, prompt engineering, and AI agent architectures. Familiarity with K8s for infrastructure as code. Experience with JavaScript, React, and Node.js. Why you’ll love being a Similarwebber: You’ll actually love the product you work with: Our customers aren’t our only raving fans. When we asked our employees why they chose to come work at Similarweb, 99% of them said “the product.” Imagine how exciting your job is when you get to work with the most powerful digital intelligence platform in the world. You’ll find a home for your big ideas: We encourage an open dialogue and empower employees to bring their ideas to the table. You’ll find the resources you need to take initiative and create meaningful change within the organization. We offer competitive perks & benefits: We take your well-being seriously, and offer competitive compensation packages to all employees. We also put a strong emphasis on community, with regular team outings and happy hours. You can grow your career in any direction you choose: Interested in becoming a VP or want to transition into a different department? Whether it’s Career Week, personalized coaching, or our ongoing learning solutions, you’ll find all the tools and opportunities you need to develop your career right here. Diversity isn’t just a buzzword: People want to work in a place where they can be themselves. We strive to create a workplace that is reflective of the communities we serve, where everyone is empowered to bring their full, authentic selves to work. We are committed to inclusivity across race, gender, ethnicity, culture, sexual orientation, age, religion, spirituality, identity and experience. Our culture of equality and mutual respect also helps us better understand and serve our customers in a world that is becoming more global, more diverse, and more digital every day. We will handle your application and information related to your application in accordance with the Applicant Privacy Policy available here .
View more...At Similarweb, we're revolutionizing the way businesses interact with the digital world by revealing to them everything that happens online. Our cutting-edge platform and unique data empower over 4,300 customers globally, including industry giants like Google, eBay, and Adidas, to make game-changing decisions that drive their digital strategies. In 2021, we went public on the New York Stock Exchange, and we haven’t stopped growing since! We’re looking for an Infrastructure Data Engineer to join our Data Labs (DL) department, which specializes in professional services for our super-premium customers. This role will report to our DL (Datalabs) Infrastructure Team Manager in the R&D. Why is this role so important at Similarweb? Similarweb is a data-focused company, and our unique AI and machine learning capabilities are the center of our business. As a Data Infrastructure Engineer in the Datalabs group, you will be the technical backbone supporting our data production, analyst, and data science teams. You will own and maintain our AWS cloud accounts and Databricks workspaces, optimize pipeline executions, and proactively modernize our tech stack to reduce tech debt - ensuring our platform remains scalable, reliable, fast, and cost-effective. Given the business-oriented nature of Datalabs, you will work closely with cross-functional stakeholders and internal teams who interface directly with strategic customers. By unblocking operational bottlenecks and building robust tooling, you will empower our analysts and data scientists to deliver custom, high-value data products to our customers seamlessly. So, what will you be doing all day? Environment & Workspace Management: Administering and optimizing our group’s AWS cloud accounts, IAM policies, and Databricks workspaces to ensure peak performance, rock-solid security, and cost efficiency. Execution & Pipeline Infrastructure: Owning the health, reliability, and scaling of our core data execution environments (Airflow, Docker, EKS/ECS, distributed queues, and database engines). Tech Debt Modernization: Proactively researching, benchmarking, and replacing legacy debt with modern technologies to keep our platform fast and cutting-edge. Developer & Production Support: Serving as the technical focal point for internal analysts and data science teams—providing the tooling, standards, and infra support they need to build custom client reports smoothly. Cross-Group & Client Alignment: Partnering with external engineering teams and internal stakeholders to support custom data delivery pipelines and uphold high-priority customer SLAs. This is the perfect job for someone who: Holds a B.Sc. in Computer Science (or equivalent practical experience) with 4+ years of hands-on experience as a Data Infrastructure Engineer managing large-scale, production-grade cloud environments. Loves building robust, fault-tolerant, scalable systems and high-load system design. Experienced with managing cloud environments (AWS/GCP/Azure). Is proficient with Infrastructure-as-Code (Terraform or CloudFormation), containerized execution environments, distributed orchestrators, database engines, queues, and resource isolation. Brings strong familiarity with core Big Data ecosystem tools - such as Spark, Databricks, and Airflow. Is a go-getter with a strong sense of ownership who thrives on refactoring legacy tech debt, adopting cutting-edge tools, and supporting internal teams with a collaborative, service-oriented mindset. *All Similarweb offices work in a hybrid model, so you can enjoy the flexibility of working from home with the benefits of building face to face connections with fellow Similarwebbers.* Why you’ll love being a Similarwebber: You’ll actually love the product you work with: Our customers aren’t our only raving fans. When we asked our employees why they chose to come work at Similarweb, 99% of them said “the product.” Imagine how exciting your job is when you get to work with the most powerful digital intelligence platform in the world. You’ll find a home for your big ideas: We encourage an open dialogue and empower employees to bring their ideas to the table. You’ll find the resources you need to take initiative and create meaningful change within the organization. We offer competitive perks & benefits: We take your well-being seriously, and offer competitive compensation packages to all employees. We also put a strong emphasis on community, with regular team outings and happy hours. You can grow your career in any direction you choose: Interested in becoming a VP or want to transition into a different department? Whether it’s Career Week, personalized coaching, or our ongoing learning solutions, you’ll find all the tools and opportunities you need to develop your career right here. Diversity isn’t just a buzzword: People want to work in a place where they can be themselves. We strive to create a workplace that is reflective of the communities we serve, where everyone is empowered to bring their full, authentic selves to work. We are committed to inclusivity across race, gender, ethnicity, culture, sexual orientation, age, religion, spirituality, identity and experience. We believe our culture of equality and mutual respect also helps us better understand and serve our customers in a world that is becoming more global, more diverse, and more digital every day. We will handle your application and information related to your application in accordance with the Applicant Privacy Policy available here .
View more...