Data Pipeline Engineer, Near Space Labs

• Proficient in Python: 5+ years of experience developing robust data pipelines and applications, with a strong understanding of data structures, algorithms and geospatial data
• Data Pipeline Expertise: Proven experience designing, building, and maintaining scalable data pipelines using distributed processing frameworks (e.g., Airflow, Spark, etc)
• Containerization and Kubernetes: Demonstrated ability to interact and manage containerized data applications using Docker and Kubernetes
• Cloud Storage and Data Warehousing: Experience working with cloud-based storage solutions (e.g., AWS S3, Google Cloud Storage, Azure Blob Storage) and data warehousing technologies
• Understanding of distributed systems: Knowledge of how distributed systems work and the challenges that they present
• Problem-Solving and Troubleshooting: Strong ability to diagnose and resolve complex data infrastructure and pipeline issues
• Self-Starter and Collaborative: Ability to work independently and collaboratively in a fast-paced environment, managing projects and deliverables effectively

• We seek a proactive Data Engineer to drive the evolution of our petabyte-scale geospatial imagery pipeline.
• This role will be instrumental in ensuring the seamless flow of data, collaborating closely with data and software engineers
• You will provide ongoing support by actively monitoring and troubleshooting data pipeline performance and reliability.
• Your contributions will directly impact our ability to deliver high-quality imagery to customers with optimal speed and reliability
• Build and maintain our proprietary data pipeline for batch geospatial data processing
• Monitor and support data pipeline performance and reliability
• Develop new data processing tasks to support evolving data requirements
• Design and implement data storage solutions using cloud-based storage services
• Develop and optimize data workflows using distributed systems
• Rapid generation of functional prototypes

• Medical, dental, and vision coverage
• 25 days paid time off
• Equity
• Annual team offsites
• Visit our New York & Barcelona offices
• Learning & development reimbursement
• Opportunity to attend a balloon launch

Total funding: $13m

Near Space Labs provides customers with high-res imagery of the earth. The twist is, this isn’t satellite imagery, but imagery collected by a zero-emission fleet of wind-powered weather balloons, each one able to capture up to 1,000 square kilometres of imagery on each flight. This makes for an eco-friendly, low-cost alternative to satellite imagery and results in images up to 50 times clearer than those collected by satellite.