Senior Data Engineer

About the role At Stoke, we believe that a thriving space economy leads to a vibrant, sustainable, and equitable future here on Earth. That is why we are building our fully and rapidly reusable vehicle, Nova. It is designed to fly daily and solve the core challenges of space transportation – it reduces cost, increases availability, and enhances reliability. By radically lowering the cost and increasing the cadence of launch, we’re able to create a truly scalable space industry. Our team is mission-driven, collaborative, and empowered with ownership of their work. If you want to work with some of the most dedicated and talented people on Earth, come join us. Description  Reusable launch systems are the key to seamlessly connecting Earth and space. An instrumental ingredient to enabling a rapid launch cadence is the ability to make informed and automated decisions quickly and backed with high quality data. That is our goal for the data team at Stoke, our software empowers our engineers and provides them the ability to automate and improve the efficiency of their day-to-day tasks. As a Backend Data Platform Software Engineer on the Data Team, you will be responsible for contributing to the design and implementation of Stoke’s backend service architecture for data. The ideal candidate will possess solid cloud and computer science fundamentals, experience in backend software development with an emphasis on delivering with quality. They also have the curiosity and desire to learn skills quickly and work collaboratively with a team. Responsibilities Implement and scale the infrastructure supporting Stoke’s Data APIs, Infrastructure and Pipelines Design and develop robust solutions for monitoring, observability, and deployment of key data services Write maintainable code with unit, integration and end to end tests Collaborate with developers to ensure designs are implemented accurately and meet design specifications Contribute to excellence in operations including mai Qualifications Bachelor’s or Master’s degree in Computer Science or related field / experience 3 - 5 years of experience in software development Professional experience with one or more systems programming languages (Python, Rust, Golang, etc) 2+ years of professional experience in Rust strongly desired Experience with core AWS services and infrastructure design including tools like EC2, S3, Fargate, Lambdas, and IAM Experience with Parquet and relational databases in analytics workflows Experience with high volume data pipelines and processing, specifically time series data and supporting technologies ( InfluxDB, TimescaleDB, etc ) Experience with infrastructure as Code tools, such as Pulumi or Terraform