Senior Data Engineer, Analytics

| Greater LA Area
THE PURPOSE:

The Senior Data Engineer will be part of the Machine Intelligence & Analytics Group, within the Software Engineering Division. This team works closely with all other teams to develop, deliver and maintain data driven products and backend analytics platforms for the discovery, interpretation, communication, and exploitation of meaningful patterns in data. In addition, this team will develop and maintain an analytic pipeline for acquisition, storage, and processing data types of interest to feed real-time artificial intelligent system behaviors. The Analytics team will architect data systems supporting machine learning applications, develop custom toolchains for analysis and exploration, and work with DevOps and IT to host and scale intelligent applications.

Ultimately, we will design reliable, scalable, real-time (or near-real time) applications that make Virgin Hyperloop One a reality. We are seeking candidates with various levels of experience to join our team of qualified, diverse individuals at our Los Angeles facility.

THE ROLE:
  • Architect and implement data pipelines (ingestion, batch simulation infrastructure, real-time insights)  
  • Develop or implement tools to support analyst-driven machine learning analyses  
  • Participate in design/code reviews to ensure compatibility with architecture  
  • Deploy monitoring solutions to detect and resolve problems in real-time  
  • Build reporting functionality with stock data products and results of pipeline analysis and monitoring  
  • Maintain quality and accessibility of data products  
  • Work closely with the Algorithms team to prototype AI/ML proof of concepts  
  • Champion processes and procedures across the organization.  
  • Perform operations on large datasets from complex, heterogeneous data sources  
  • Develop or modify existing machine learning tools and libraries as needed  
  • Develop visualizations of key parameters and relationships to provide insight into data  
  • Enhance, scale, and deploy real-time analytics capabilities, models, and visualizations on production compute architecture  
  • Collaborate in a fast-paced environment and communicate clearly and effectively with colleagues who range from data scientists, developers, DevOps, hardware engineers, and product managers
THE CANDIDATE:
  • Ability to provide solutions to a variety of technical problems of increasing scope and complexity  
  • Ability to conduct research into issues and products as required 
  • Working proficiency and excellent communication skills in verbal and written English 
  • Strong interpersonal skills 
  • Highly self-motivated and directed 
  • Proven analytical and problem-solving abilities 
  • Be able to identify potential bottlenecks and design systems appropriately  
  • Keen attention to detail 
  • Customer-focused mindset, prioritizing developer productivity and application uptime 
  • Ability to present ideas in user-friendly language and visuals 
  • Ability to effectively prioritize and execute tasks in a high-pressure environment
MINIMUM REQUIRED EXPERIENCE:
  • Experience working in a data engineering role 
  • Strong knowledge in software engineering principles  
  • Hands on experience and expertise with cloud computing services (AWS, Azure, etc.)  
  • Working knowledge in manipulating large datasets 
  • Proven experience with schema design for operational and analytic databases 
  • Working knowledge of distributed computing architectures and databases  
  • Strong programming ability with Python, Go and web-based technologies  
  • Agile, fast prototyping skills, including feature integration during all cycles of development 
PREFERRED EXPERIENCE:
  • Bachelor’s degree in Computer Science or a highly quantitative discipline 
  • MS Degree in Computer Science or equivalent field, highly preferred  
  • Experience with visualization tools: Seaborn, Bokeh, D3.js  
  • Ability with the following programming languages: Scala, Java, C++, R  
  • Experience with the following software packages: Flask, Celery, SQLAlchemy, PostgreSQL, NoSQL, Apache products (Spark, Hadoop, Kafka, Hive, etc.) 
  • Successfully delivered and maintained a major cloud service with a large numbers of end users 
  • Domain expertise and knowledge of transportation, logistics, and autonomous systems
Hyperloop One is an Equal Employment Employer; employment is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender (including pregnancy, childbirth, or related medical conditions), national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other protected status. Hyperloop One will consider qualified applicants with criminal histories consistent with the “Ban the Box” legislation. We may access publicly available information as part of your application. For full information on how your personal information will be stored and processed, please click here.
To all recruitment agencies: Virgin Hyperloop One does not accept unsolicited agency resumes. Please do not forward resumes to our jobs alias, Virgin Hyperloop One employees or any other company location. Virgin Hyperloop One is not responsible for any fees related to unsolicited resumes.
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Location

2159 Bay Street, Los Angeles, CA 90021

An Insider's view of Virgin Hyperloop One

What’s the vibe like in the office?

There's a buzz that can't be described. Imagine a group of very smart people, all from different backgrounds and industries, under one roof. All of these people are working on a massive project that could change so much in the world. The impact it will have is huge!

Greg Toroosian

Recruiting Manager

What is your vision for the company?

To transform transportation by breaking the time barrier! At speeds in excess of airlines and with the potential to operate off of renewable grid based power, hyperloop will be revolutionary.

Anita Sengupta

SVP of Systems Engineering

What projects are you most excited about?

Building hardware for two different and distinct worlds. On one hand there's manufacturing complexities of building the pod, which is an entirely new class of passenger and cargo vehicle packed full of high-tech hardware. On the other, there's the manufacturing challenge of building the linear infrastructure. Each is unique and makes work exciting.

Matt Matsumoto

Manufacturing Process Manager

What are Virgin Hyperloop One Perks + Benefits

Health Insurance & Wellness Benefits
Dental Benefits
Vision Benefits
Health Insurance Benefits
Retirement & Stock Options Benefits
401(K)
Company Equity
Vacation & Time Off Benefits
Unlimited Vacation Policy
Perks & Discounts
Commuter Benefits
Free Daily Meals
Stocked Kitchen
Pet Friendly

Additional Perks + Benefits

Catered lunches, snacks, coffee and drinks every day. Personal trainer on-site 3x a week. Full showers, towels and lockers. Corporate Uber account. Onsite barber visits. Dry cleaning service. Stock options with early exercise option.

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