Sr. Data Engineer (Starlink Network Analytics, Wi-Fi)

SpaceX
Redmond, US
On-site

Who this role is best for

Best suited to mid-level data engineers with networking and WiFi protocol experience working in a dynamic environment with extended hours.

Best fit for

  • Engineers who thrive in dynamic environments and can develop new expertise quickly.
    — “Ability to work effectively in a dynamic environment that includes working with changing needs and requirements
  • Candidates with experience in networking technologies and WiFi protocols.
    — “Experience in networking technologies and WiFi protocols (TCP/UDP, 802.11, etc)
  • Data engineers skilled in building and maintaining custom ETL pipelines.
    — “Experience in custom ETL design, implementation, and maintenance

Things to consider

  • Must be willing to work extended hours and weekends as needed.
    — “Must be willing to work extended hours and weekends as needed
  • Requires eligibility to obtain U.S. government export authorizations.
    — “To conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C. § 1157, or (iv) Asylee under 8 U.S.C. § 1158, or be eligible to obtain the required authorizations from the U.S. Department of State.

How to stand out

  • Highlight experience with large datasets and predictive modeling in your resume.
    — “Experience handling large (TB+) datasets
  • Demonstrate your ability to lead technical investigations in interviews.
    — “Lead technical investigations about chronic application-level issues
  • Showcase projects where you built tools for data analysis.
    — “Experience with developing and deploying tools used for data analysis
Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · CompanyLevel · Mid Level

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • developing mission-critical infrastructure
  • automating metric aggregation
  • leading technical investigations
Typical background
data engineeringnetwork analytics

Skills & requirements

Required

Data EngineeringNetwork AnalyticsWifi ProtocolsETL DesignLarge Dataset Handling

Preferred

Predictive ModelingMachine Learning Pipelines

Stack & domain

Data EngineeringObject-oriented ProgrammingNetworking TechnologiesWifi ProtocolsPredictive ModelsMachine Learning PipelinesCustom Etl DesignLarge DatasetsData Analysis ToolsSpace VehiclesData AnalyticsModelsTechniquesData ProductsData FusionUsable InformationWork Effectively In A Dynamic EnvironmentTake On Projects That Require Taking Initiative And Developing New ExpertiseNetwork AnalyticsWifi

About the role

Original posting from SpaceX via Greenhouse

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 (STARLINK NETWORK ANALYTICS, WIFI)

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 millions of 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 and 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 how effective the Starlink Network is itself, 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 network, including WiFi 

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

Fuse data from multiple sources to create usable information

BASIC QUALIFICATIONS:

Bachelor’s degree in computer science, engineering, math, or STEM discipline and 5+ years of professional experience in data engineering.

Development experience in an object-oriented programming language (i.e. C, C++, Python) 

PREFERRED SKILLS AND EXPERIENCE:

Experience in networking technologies and WiFi protocols (TCP/UDP, 802.11, etc) 

Experience building predictive models and machine learning pipelines on real world data (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:

Level 3: $165,000.00 - $230,000.00

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 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 and long-term disability insurance, life insurance, paid parental leave, and various other discounts and perks. You may also accrue 3 weeks of paid vacation and will be eligible for 10 or more paid holidays per year. Employees in Washington State accrue paid sick time in compliance with state and federal law. Company shuttles are offered to employees for roundtrip travel from select Seattle locations to the SpaceX Redmond office Monday to Friday.

ITAR REQUIREMENTS:

To conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C. § 1157, or (iv) Asylee under 8 U.S.C. § 1158, or be 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 reach out to EEOCompliance@spacex.com. 

Source: SpaceX careers (Greenhouse)

Similar roles