Senior Full Stack Engineer – Data Platform

Join Hire Hangar and work with fast-growing global companies while building a long-term, remote career.Job Title Senior Full Stack Engineer – Data PlatformLocation RemoteTime Zone Flexible / Aligned to HQ Time ZoneRole Overview We are building the data backbone for the next generation of AI-powered automation — and we need a Senior Full Stack Engineer who can operate across the full stack: from data ingestion pipelines to the polished frontend dashboards our enterprise customers rely on.This role is ideal for an engineer who thrives where data engineering meets product engineering. You will own the interfaces and services that make complex data meaningful and actionable — and you will work alongside automation engineers to ensure that RPA agents have the structured, reliable data they need to function intelligently.Key ResponsibilitiesBuild and maintain frontend experiences for our data platform, including dashboards, data explorers, and workflow buildersDesign and implement RPA agent integrations that interact with structured and unstructured data sourcesDevelop APIs and services that expose platform data to both internal consumers and customer-facing productsContribute to the semantic layer that contextualises data for AI agents — including tagging, categorisation, and metadata enrichmentCollaborate with data engineers to ensure frontend and API layers align with underlying data modelsDrive performance and scalability improvements across frontend and backend componentsRequired QualificationsSenior-level full stack experience with strong frontend depth in React and TypeScriptExperience building data platform or BI-adjacent frontends including dashboards, query interfaces, and real-time data viewsFamiliarity with RPA tooling and automation workflow designUnderstanding of data modelling, ETL patterns, and API-first architectureExperience with cloud data services such as Snowflake, BigQuery, or RedshiftStrong attention to UX detail and the ability to translate complex data into clear, usable interfacesMust have prior remote work experience and proven ability to work independently within a distributed teamPreferred QualificationsExperience with semantic metadata layers or data cataloguing toolsBackground in enterprise SaaS product developmentKnowledge of streaming data technologies such as Kafka or KinesisExposure to dbt, Airflow, or similar data pipeline toolingTools & TechnologyReact / TypeScriptPython / Node.jsCloud data warehouses (Snowflake, BigQuery, or similar)RPA platforms (UiPath, Power Automate, or similar)REST and event-driven APIsSlack, Zoom, Google WorkspacePlease Note It is crucial that you complete the application form in full. As part of the application process, you will be required to complete a short technical assessment. If your application is successful, you will receive an email confirming next steps. Applications that are not completed in full will not be considered for any open roles.We connect top talent with vetted employers, competitive pay, and real growth opportunities.Originally posted on Himalayas