Careers at Similarweb

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 .

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 .