SpaceX→
Data Engineer (Starlink) at SpaceX in Redmond, WA
Entry LevelOn-siteFull-timeRedmond, WA$125k–$145k/yr
Skills
data engineeringdata analyticsmachine learningsparkprestoflinksnowflakeparquetkubernetesin-stream data processingpredictive modelingetl designlarge dataset handling
Job Description
Summary: SpaceX is actively developing technologies to make human life on Mars possible. They are seeking a Data Engineer to develop strategies and tools for assessing the effectiveness of the Starlink Network, which provides broadband internet globally.
Responsibilities:
- Build and maintain mission-critical infrastructure, tools, processes, and custom software to objectively assess growth areas for the Starlink program
- Automate the aggregation of metrics and detection of widespread application issues across Starlink
- Establish and maintain relationships with key third-party application/content owners
- 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
Required Qualifications:
- Bachelor's degree in computer science, data science, physics, mathematics, or a STEM discipline
- 1+ years of data/software engineering experience (internship experience is applicable)
- Experience in analytics, data science, or machine learning
- Must be willing to work extended hours and weekends as needed
Preferred Qualifications:
- Professional experience in analytics, data science, or machine learning
- Experience using Spark, Presto, Flink, or Snowflake
- 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)
- Experience in custom ETL design, implementation, and maintenance
- Experience handling large (TB+) datasets
- Experience with developing and deploying tools used for data analysis
- 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
Required Skills: Data Engineering, Data Analytics, Machine Learning, Spark, Presto, Flink, Snowflake, Parquet, Kubernetes, In-stream Data Processing, Predictive Modeling, ETL Design, Large Dataset Handling
Benefits: Long-term incentives, in the form of company stock, stock options, or long-term cash awards, Potential discretionary bonuses, Ability to purchase additional stock at a discount through an Employee Stock Purchase Plan, Comprehensive medical, vision, and dental coverage, 401(k)- retirement plan, Short & long-term disability insurance, Life insurance, Paid parental leave, Various other discounts and perks, 3 weeks of paid vacation, 10 or more paid holidays per year, 5 days of sick leave per year, Company shuttles are offered to employees for round trip travel from select Seattle locations to the SpaceX Redmond office Monday to Friday
Benefits
Long-term incentives, in the form of company stock, stock options, or long-term cash awards
Potential discretionary bonuses
Ability to purchase additional stock at a discount through an Employee Stock Purchase Plan
Comprehensive medical, vision, and dental coverage
401(k)- retirement plan
Short & long-term disability insurance
Life insurance
Paid parental leave
Various other discounts and perks
3 weeks of paid vacation
10 or more paid holidays per year
5 days of sick leave per year
Company shuttles are offered to employees for round trip travel from select Seattle locations to the SpaceX Redmond office Monday to Friday