Sr. Data Engineer
Mountain View, CA, United States
SpaceX
SpaceX designs, manufactures and launches advanced rockets and spacecraft. The company was founded in 2002 to revolutionize space technology, with the ultimate goal of enabling people to live on other planets.SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today SpaceX is actively developing the technologies to make this possible, with the ultimate goal of enabling human life on Mars.
SR. DATA ENGINEER
At SpaceX we’re leveraging our experience in building rockets and spacecraft to deploy Starlink, the world’s most advanced broadband internet system. Starlink is the world’s largest satellite constellation and is providing fast, reliable internet to 1M+ users worldwide. We design, build, test, and operate all parts of the system – thousands of satellites, consumer receivers that allow users to connect within minutes of unboxing, and the software that brings it all together. We’ve only begun to scratch the surface of Starlink’s potential global impact are looking for best-in-class engineers to help maximize Starlink’s utility for communities and businesses around the globe.
As a Data Engineer, you will be responsible for developing the strategy, key metrics, tools, software services and processes for assessing how well key aspects of Starlink are scaling and the effectiveness of the Starlink Network in serving millions of users around the globe. You will work with operators, subsystem responsible engineers, software engineers, and network engineers inside the Starlink organization as well as key contacts with various major external partners to help ensure the growth of this program.
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 relationship 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 7
- Fuse data from multiple sources to create usable information
BASIC QUALIFICATIONS:
- Bachelor’s degree in computer science, data science, physics, mathematics, or a STEM discipline and 5+ years of professional experience in data engineering; OR 7+ years of professional experience in data engineering in lieu of a degree
- Professional experience building solutions with object-oriented software languages including C#, Java, Python, or C++
- Professional experience building solutions with HDFS, HBase, or other storage technology
PREFERRED SKILLS AND EXPERIENCE:
- 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
ADDITIONAL REQUIREMENTS:
- Must be willing to work extended hours and weekends as needed
COMPENSATION AND BENEFITS:
Pay range:
Data Engineer/Senior: $170,000.00 - $230,000.00/per year
Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience.
Base salary is just one part of your total rewards package at SpaceX. You may also be eligible for long-term incentives, in the form of company stock, stock options, or long-term cash awards, as well as potential discretionary bonuses and the ability to purchase additional stock at a discount through an Employee Stock Purchase Plan. You will also receive access to comprehensive medical, vision, and dental coverage, access to a 401(k)-retirement plan, short & long-term disability insurance, life insurance, paid parental leave, and various other discounts and perks. You may also accrue 3 weeks of paid vacation & will be eligible for 10 or more paid holidays per year. Exempt employees are eligible for 5 days of sick leave per year.
ITAR REQUIREMENTS:
- To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here.
SpaceX is an Equal Opportunity Employer; employment with SpaceX is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.
Applicants wishing to view a copy of SpaceX’s Affirmative Action Plan for veterans and individuals with disabilities, or applicants requiring reasonable accommodation to the application/interview process should notify the Human Resources Department at (310) 363-6000.
Tags: Clustering Computer Science Data analysis Data Analytics Engineering ETL Flink HBase HDFS Java Kubernetes Machine Learning Mathematics Parquet Physics Pipelines Python Snowflake Spark STEM
Perks/benefits: Career development Equity Health care Insurance Medical leave Parental leave
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