Full Stack Analytics Engineer

Don't miss your chance to join a global team thats transforming the way people travel as a Full Stack Analytics Engineer. About iVisa At iVisa we believe that traveling should be simple. That's why 2.6M+ travelers have chosen us to facilitate their visas, passports, and other travel documents. We are the easiest, fastest, and simplest solution in the market. Our company is growing 80% year on year. We know our biggest strength is our people and we're looking for the right new team members to help propel our culture and achieve our goals. Above all else, we always have fun! About The Role Were hiring a Full Stack Analytics Engineer to own how iVisa turns data into the live products the business makes decisions on, from the queries against our warehouse to the interfaces stakeholders use. The role spans two halves: the data engineering and modeling that produce accurate, query-ready data, and the serving layer (data APIs and code-built interfaces) that delivers it as clear, real-time reporting. The core of the role is the serving layer. Rather than relying solely on traditional BI tools, youll build the companys most important live data products in code: the APIs and interfaces that deliver real-time, accurate reporting, owned end to end, from the query underneath to the interface on screen. Grounded in real data engineering, this is not a dashboard-configuration role and not a pure frontend job. Its for someone who writes production code across the stack, values accuracy over polish, and builds what the business genuinely needs. Our platform handles near-real-time data freshness and the team supports upstream data preparation, so your focus is modeling data well and serving it effectively. Why iVisa Collaborative, friendly, and diverse culture: We foster an inclusive and vibrant atmosphere, featuring a dynamic and international environment with flat hierarchies and exceptionally amiable colleagues. Truly remote-first work environment: work from anywhere or everywhere - we encourage global travel. Access to continuous learning and cutting-edge AI tools, supported by dedicated budgets for professional development. Extended Family Leave policy: Our policy covers all birthing parents, non-birthing parents, and adopting parents. Thrive in a highly tech-savvy company equipped with cutting-edge tools and the power to make a substantial impact. Join us in our commitment to the planet and sustainability: For every iViser, we plant one tree, allowing you to contribute to our environmental initiatives. Rest and Relaxation: We offer flexible PTO for all team members. As a Full Stack Analytics Engineer at iVisa, you will make an impact by: The core: the serving layer Data APIs. Building and owning the endpoints that expose warehouse data to the frontend: clean, secure, and accurate. Code-built data products. Building the companys live dashboards and data interfaces in code, served from those APIs: clear, reliable, and accurate. The foundation: data engineering & modeling SQL & modeling. Writing the queries and shape the models that power the serving layer: correct, performant, and well-structured. Data engineering. Building and maintaining the transformations that make data ready to serve, comfortable working directly in SQL rather than relying on a single framework. Accuracy end to end. Owning the correctness of the data from query, through API, to interface. What reaches the business is right. Stakeholder partnership. Building data products that are genuinely useful, and challenge requests that wont scale or wont answer the real question. What makes you a great fit for this role: Strong SQL and data modeling, with the discipline to write queries and structures that are correct and performant. Comfortable building transformations directly in SQL, not tied to a single framework. Hands-on data engineering in Python, with a modern cloud data warehouse (e.g., Redshift, Snowflake, or BigQuery). Hands-on experience building data APIs: endpoints over a database or warehouse, using a framework such as FastAPI, Express, or a serverless equivalent. Hands-on JavaScript / TypeScript and experience building data interfaces in code, using a charting library (such as Chart.js, D3, or ECharts) and ideally a modern frontend framework (React, Vue, or similar). Accuracy and reliability over visual polish. A bias toward accuracy, the communication to partner with senior stakeholders, and a focus on outcomes over tool loyalty. 5+ years in analytics engineering, data engineering, or a closely related hands-on role. Nice to haves: Caching and performance practices for serving warehouse data to live interfaces. Experience with BI tools (such as Tableau or Apache Superset) or code-native BI frameworks (such as Evidence, Observable, or Cube). Familiarity with semantic or metrics layers, experimentation, or marketing analytics. iVisa is committed to building a diverse, inclusive, and respectful workplace. We provide equal employment opportunities to all and do not discriminate on the basis of race, gender identity, age, sexual orientation, religion, national origin, disability, or any other protected characteristic.