Senior Data Engineer, Analytics

| Greater LA Area | Hybrid
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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

We're located in the Arts District, an up-and-coming neighborhood with trendy restaurants and breweries – just minutes from Downtown LA.

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