SpaceX is looking to expand its Starlink vision by providing ubiquitous connectivity and seamless access to text, voice, and data for LTE phones and devices across the globe through its Direct to Cell network. The Data Engineer will be responsible for developing the strategy, key metrics, tools, software services, and processes for assessing the scalability and effectiveness of this network in serving millions of users globally.
Requirements
- Experience handling large (TB+) datasets
- Experience using SQL,
- Development experience in an object-oriented programming language (i.e. C, C++, Python)
- Experience building solutions with Parquet, or similar storage formats
- Knowledge of Kubernetes
- Experience building solutions with in-stream data processing of structured and semi-structured data
- Experience building predictive models and machine learning pipelines (clustering analysis, prediction, anomaly detection)
Responsibilities
- Build and maintain mission-critical infrastructure, tools, processes, and custom software to objectively assess growth areas for the Direct to Cell program
- Automate the aggregation of metrics and detection of widespread application issues across Direct to Cell
- Lead technical investigations about chronic application-level issues
- Build ground-based software systems that ingest, transform, and store data
- Apply data analytics, models, and techniques to data products created by space vehicles
- Create catalogs of data and tools that can be used by you and other teams to perform analytics
- Fuse data from multiple sources to create usable information
Other
- 1+ years of data/software engineering experience (internship experience is applicable)
- Experience in analytics, data science, or machine learning
- Ability to work effectively in a dynamic environment that includes working with changing needs and requirements
- Ability to take on projects that require taking initiative and developing new expertise
- Must be willing to work extended hours and weekends as needed
