Senior Software Engineer, Slingshot Aerospace

• Must be able to work remotely with sufficient internet bandwidth to support video conferencing and development activities
• 5+ years of experience in software or data engineering
• Proficiency in Python and experience building high-performance data processing systems
• Strong experience with MongoDB; familiarity with PostgreSQL and Databricks
• Solid understanding of ETL pipelines, data transformation, and large-scale data management
• Experience developing in Linux environments, including containerized deployments using Docker and Kubernetes in AWS
• Experience with source control systems (e.g., Git) and CI/CD workflows
• Experience building and debugging distributed data pipelines using Databricks, Apache Spark, or similar platforms
• Familiarity with MongoDB change streams and streaming frameworks like RabbitMQ or Kafka
• Strong written communication skills and ability to produce clear technical documentation
• Self-starter with the ability to work independently and collaboratively in a fast-paced, remote environment
• Ability to travel up to 10% of the time

Desirable

• We are seeking an accomplished Software Engineer to join our team of dedicated data engineers and help Slingshot accelerate the security, safety, and sustainability of space
• In this role, you’ll collaborate with peers to design, lead, and optimize large-scale data pipelines and infrastructure that power real-time optical tracking of satellites
• You’ll have the opportunity to both contribute as a hands-on engineer and influence technical direction, ensuring our systems operate with high performance, scalability, and reliability
• As a Senior Software Engineer on the Data Engineering team, you’ll focus on the Global Sensor Network (GSN) Pipeline, helping to scale and modernize our data infrastructure. You will:
• Design, build, and maintain high-performance ETL pipelines using Python, MongoDB, and AWS EKS, supporting the ingestion and processing of 20–30GB of satellite data daily
• Develop and maintain scalable APIs and services for data ingestion, transformation, and export to customers
• Optimize data workflows to improve throughput, latency, and system uptime, ensuring reliable data delivery at scale
• Build and maintain monitoring, alerting, and performance dashboards using Datadog for proactive system health tracking and fault resolution
• Collaborate with engineering, product, and operations teams to deliver mission-critical data systems that meet customer needs
• Contribute to the architecture, automation, and observability of cloud-native systems, following industry best practices
• Support the strategic transition of workloads to Databricks and PostgreSQL, helping modernize and scale our data platform
• Promote coding standards, participate in technical planning, and help drive continuous improvement across the engineering organization
• Engage with internal stakeholders and external customers to ensure successful outcomes and alignment with business goals
• Classification: Full-Time Exempt (Computer Employee Exemption)