SpaceX

Technology

DataEngineer(StarlinkNetworkAnalytics,Wi-Fi)

$95–135k ~AI est. Redmond, Washington, United States Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“Data Engineer (Starlink Network Analytics, Wi-Fi) at SpaceX. Skills: Data engineering, Network analytics, Machine learning. Build and maintain mission-critical infrastructure. Build and maintain tools”

What You'll Achieve.

Assess growth areas for the Starlink program; Maximize Starlink's utility

Industry & Context.

Technology
Problems you'll solve

Technical investigations

Eligibility Requirements

Extended hours, Weekends, ITAR requirements

What They're Looking For.

Must Have

Bachelor's degree in computer science, data science, physics, mathematics, or a STEM discipline, 1+ years of data/software engineering experience, Development experience in an object-oriented programming language

Nice to Have

Experience in networking technologies and WiFi protocols, Experience building predictive models and machine learning pipelines, 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, Ability to take on projects that require taking initiative and developing new expertise

What You'll Do.

Build and maintain mission-critical infrastructure

Build and maintain tools

Build and maintain processes

Build and maintain custom software

Automate the aggregation of metrics

Automate detection of widespread application issues

Lead technical investigations about chronic application-level issues

Build ground-based software systems that ingest data

Build ground-based software systems that transform data

Build ground-based software systems that store data

Apply data analytics to data products

Apply models to data products

Apply techniques to data products

Fuse data from multiple sources

Create usable information

How You'll Work.

Team & Collaboration

Operators; Subsystem responsible engineers; Software engineers; Network engineers; External partners

Full Job Description

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. 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 analy

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