Senior Geospatial Data Engineer

Job Description

Job Description

Object Computing, Inc. is seeking a Senior Geospatial Data Engineer to join our Xtrack Product Team. In this role, you will lead the design and implementation of scalable, cloud-based geospatial data infrastructures, and play a key part in shaping our data architecture and product engineering strategy with a focus on improving safety and operational efficiencies for organizations in the rail industry. You will work with cutting-edge technologies in image processing, artificial intelligence, cloud computing, and geospatial database management. Your work will optimize complex business processes and unlock new value from large-scale geospatial datasets.

What you will do :

• 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.

What you will bring :

What will make you stand out :

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.