Data Engineer

About Fusemachines Fusemachines is a leading AI strategy, talent, and education services provider. Founded by Sameer Maskey Ph.D., Adjunct Associate Professor at Columbia University, Fusemachines has a core mission of democratizing AI. With a presence in 4 countries (Nepal, United States, Canada, and Dominican Republic and more than 400 full-time employees) Fusemachines seeks to bring its global expertise in AI, Data, Analytics and Software to transform companies around the world. Type: Remote, Full-time About the role: We are seeking a highly analytical Senior / Mid-Senior Data Engineer to join our team as a full-time contractor working in the Indian Timezone. In this role, you will build and scale data systems for a leading global media measurement and consumer intelligence company. This role is tailored for a deeply analytical engineer focused on data quality assessments, backend data pipelines, and pipeline enrichment rather than front-end application creation. You will be responsible for designing, building, and maintaining robust data architectures on AWS. While you will not build front-end applications or mobile SDKs, you must be naturally curious about measurement logic, specifically how user devices are tracked and how hybrid server-to-server architectures operate, as you will help analyze data validity and troubleshoot technical issues across the stack, to power measurement systems that drive advertising effectiveness, audience intelligence, and real-world business decisions at scale. Qualification / Skill Set Requirement: Experience: 4–8 years of engineering experience, with a strong background in real-world data engineering development on AWS. Education: Bachelor’s degree in Computer Science or related field (advanced studies or exposure to AI/ML is a plus). Core Tech Stack (AWS): Proven experience working with an AWS-based data stack, specifically using S3 as the target data storage, Glue for processing, Athena for querying (MPP), and Airflow for workfl