Senior Software Engineer, Data Integrations

Summary

Join Spexi, a drone technology company, as a Senior Software Engineer to contribute to our innovative geospatial data marketplace platform. You will design and develop scalable, sustainable, and secure systems for processing, analyzing, and delivering high-resolution geospatial data and aerial imagery. Collaborate with cross-functional teams to ensure seamless integration and enhance customer experiences. Take ownership of the data architecture, maintain high-quality code, and provide technical leadership. This role requires extensive experience in data engineering, geospatial technologies, and cloud-based infrastructure. We offer a remote-friendly environment with flexible hours and comprehensive health benefits.

Requirements

• BSc. in Computer Science or similar degree, or equivalent work experience
• 6+ years of data engineering experience, with a demonstrable history of creating and supporting large-scale production systems
• Experience with geospatial databases and technologies including familiarity with GIS software and tools (ESRI ecosystem especially)
• Hands-on experience building geospatial APIs from specifications like WMTS, OGC, etc
• Understanding of REST APIs, API-driven data platforms, and microservices architecture
• Advanced proficiency in Python, TypeScript, SQL and PostGIS
• A strong, self-directed drive with advanced problem-solving skills and attention to detail
• Expert knowledge of cloud-based data infrastructure, especially AWS (e.g., S3, Lambda, RDS, CDK), and modern DevOps practices
• Strong communication skills, familiarity with professional software development processes, and the ability to work effectively in a remote, agile environment
• An insatiable thirst for learning and challenging yourself

Responsibilities

• Design and develop an innovative geospatial data marketplace platform that's scalable, sustainable, extensible and secure
• Develop reliable APIs and backend services which deliver global-scale geospatial data and aerial imagery with lightning-fast response times
• Build robust systems for processing, analyzing, and delivering high-resolution geospatial data and aerial imagery to support near real-time and large-scale applications
• Collaborate with data engineers, frontend engineers, and backend teams to ensure smooth integration of data services and analytics tools that enhance customer experiences
• Take ownership of the data architecture, from ingestion through to delivery, ensuring data integrity, security, and performance
• Maintain high-quality, well-documented and reliable code using industry best practices
• Provide technical leadership, mentoring, and constructive feedback to the data engineering team
• Collaborate on improving internal processes, workflows, and how we leverage data to enhance customer outcomes

Preferred Qualifications

• Understanding of machine learning models for geospatial and imagery data analysis
• Familiarity with 3D modeling, 3D data processing, and advanced photogrammetry techniques
• Contributions to open-source projects or personal repositories showcasing your work

Benefits

• Remote friendly environment
• Flexible hours
• Medical, dental, vision health benefits