Object Computing, Inc.

Full-stack Engineer

• Design, develop, and deploy full-stack applications using modern JavaScript (React, Vue, or Angular) and backend technologies (Node.js, Java, or Python).
• Build and integrate RESTful APIs and microservices.
• Ensure code quality through automated testing and code reviews.
• Optimize applications for scalability, performance, and security.
• Collaborate in Agile teams and mentor junior engineers.

Full Stack Engineer

Cloud Engineer

• Design, develop, and deploy cloud-based applications.
• Manage and optimize cloud environments (AWS, GCP, Azure).
• Automate cloud infrastructure with IAC (Terraform, Ansible, CDK), CI/CD, and DevOps best practices.
• Troubleshoot and enhance cloud performance, security, and scalability.
• Educate and support teams on cloud adoption and best practices.
• Stay ahead of emerging cloud technologies to drive innovation.

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.

Senior Geospatial Data Engineer

• Design, build, and optimize large-scale data pipelines (Azure, AWS, GCP)
• Develop data ingestion and storage solutions.
• Implement scalable APIs and ensure system performance.
• Manage big data infrastructure and cloud deployments.
• Collaborate with developers, designers, and data scientists.
• Work in an Agile/DevOps environment.