Senior Data Engineer

Spexi is a drone technology company on a mission to make ultra-high resolution geospatial imagery more accessible than ever before, empowering humanity to make better decisions about the physical world.

We're building an exciting new two-sided marketplace called the Spexi Network. It's the world’s first Fly-to-Earn platform that enables drone pilots to earn rewards for flying and collecting aerial imagery. It also enables organizations of all sizes to quickly and easily access high-resolution aerial imagery and valuable derivative data, powering remote monitoring of buildings, infrastructure, natural resources and more. Our goal is to guide their decision-making, and help them better plan and react, without needing to own drones or hire pilots.

We’re looking for an experienced Senior Data Engineer to contribute to our data pipeline, infrastructure, and global geospatial data catalog. The ideal candidate will be passionate about geospatial data, global scale pipelines, cutting edge image analysis, and be willing to take ownership, as part of a high-caliber team of motivated engineers.

RESPONSIBILITIES:

• Design and develop scalable, sustainable, and extensible data pipelines and architectures that power our innovative geospatial data marketplace.
• 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.
  
  

WHAT YOU BRING:

• 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 (e.g., PostGIS, QGIS) and familiarity with GIS software and tools.
• Hands-on experience with machine learning models for geospatial and imagery data analysis.
• Advanced proficiency in Python, TypeScript, SQL and tools for large-scale data processing (e.g., Airflow).
• 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
  
  

BONUS POINTS:

• Understanding of REST APIs, API-driven data platforms, and microservices architecture.
• Familiarity with 3D modeling, 3D data processing, and advanced photogrammetry techniques.
• Contributions to open-source projects or personal repositories showcasing your work
  
  

BENEFITS & PERKS:

Spexi believes that in order to produce the best possible products for our customers, our employees need to maintain a solid work-life balance, and stay happy and healthy. We offer the following benefits and perks to help our employees achieve that:

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

Spexi is an inclusive employer that believes in workplace equality, supports diversity, creates a welcoming environment, and respects the unique qualities each individual brings to the company.

To apply please send your resume and cover letter.

We thank all applicants for their interest. All applications will be reviewed to determine which candidates' education and experience best meets the needs of the position. Only individuals selected for interviews will be contacted.

Compensation Range: CA$150K - CA$190K