Senior Geospatial Data Engineer

Architect, design, and maintain robust, scalable data pipelines and infrastructures for geospatial and big data applications maintaining a focus on performance and the ultimate end-user product experience. Lead the development and optimization of ETL processes for ingesting, cleaning, transforming, and storing large volumes of geospatial and tabular data. Design, build, and interact with API-driven, service-to-service web services (using FastAPI, Litestar, Flask, etc.) to enable integration across a suite of products. Collaborate with backend and platform engineers to ensure secure, reliable, and scalable service-to-service communication. Translate complex analytics and business questions into actionable, production-grade data solutions. Collaborate closely with data scientists, analysts, and business stakeholders to deliver high-impact data products. Drive the adoption and optimization of cloud-based data solutions (e.g., GCP, AWS, Azure). Ensure data quality, integrity, and security across all stages of the data lifecycle. Mentor and provide technical guidance to junior data engineers and team members. Communicate technical details and insights clearly to both technical and non-technical audiences, including leadership. Proactively recommend and implement improvements to existing data infrastructure and software programs. Stay current with industry trends and emerging technologies in geospatial data engineering.