Senior Data Engineer
Los Angeles
Applications have closed
To connect the world, we must reflect the world. At Virgin Hyperloop, we’re bringing together unique perspectives, empowering our community to celebrate all voices, and creating equal opportunities to build, grow, and thrive.
WHY WE NEED YOU
The Senior Data Engineer will be part of the Machine Intelligence & Analytics group, within the Software Engineering department. This team works closely with all other engineering teams to develop, deliver, and maintain data driven products and backend analytics platforms for the discovery, interpretation, and communication of meaningful patterns in data. In addition, this team will develop and maintain the infrastructure to collect and transform raw operational data to feed to the downstream Command and Control systems. You will work with the team lead to architect the Data Systems and develop custom toolsets for data analysis.
Ultimately, you will help design reliable, scalable, real-time (or near-real time) applications that make Virgin Hyperloop a reality. We are seeking candidates with various levels of experience to join our team of qualified, diverse individuals at our Los Angeles facility.
WHAT YOU’LL DO
- Design and build robust data pipelines and data integration consisting of diverse data sources and transformation techniques and ensure consistency and availability of real-time data insights
- Perform ETL operations on large datasets from many complex, heterogeneous data sources
- Develop clean, well-designed, reusable, scalable code to support analysis and participate in design/code reviews to ensure compatibility with architecture
- Work closely with Algorithms Team to prototype AI/ML proof of concepts
- Maintain quality of data products by deploying solutions to monitor the data pipeline
- Develop visualizations of key parameters and relationships to provide insight into data
- Collaborate with product, software and hardware engineering, and DevOps teams in a fast-changing environment
- Work independently to solve unstructured problems with innovative solutions
- Champion processes and procedures across the organization
WHAT YOU’VE DONE
- Bachelor's degree in Computer Science or a highly quantitative discipline
- 4+ years of experience working in data engineer and software development
- Experience designing, building, and maintaining data pipeline systems
- Strong coding ability with server-side programming languages (Python, Scala, Go, Java) as well as database languages (SQL)
- Experience with data technologies and concepts such as NiFi, Spark, Hadoop, Airflow, Kafka, RDBMS, and Columnar databases
- Working knowledge of Docker and GIT
- Agile, fast prototyping skills, including feature integration during all cycles of development
- Exceptional verbal, written, and interpersonal communication skills
NICE TO HAVE
- MS Degree in Computer Science or equivalent field
- Experience building stream-processing systems
- Experience with visualization tools: Plotly, Matplotlib, Tableau
- Experience integrating with APIs
- Domain expertise and knowledge of transportation, logistics, and autonomous systems
- Experience with cloud environments and DevOps tools; working experience with AWS and its associated products a plus
- Experience with machine learning a plus
MUST HAVE
- Authorized to work in the U.S
WHY VIRGIN HYPERLOOP
Now is your chance to leave your mark on the future. If the thought of building a sustainable, completely new form of high-speed transport sounds exciting, come join our team. Virgin Hyperloop is the first company in the world to have put passengers on a Hyperloop system, and now we’re creating an all-electric cargo transport system for the third millennium. Work in a fast-paced, collaborative environment with the best of the best in engineering talent. This is a once-in-a-lifetime opportunity to do something that’s never been done before, a history-making, global solution that will shape the future of logistics and mobility. We offer a competitive salary and benefits package including health, vision, dental coverage, and 401(k). We also offer a generous daily lunch stipend, a dog-friendly environment, unlimited vacation for exempt employees, and a culture that values diversity and inclusion.For full information on how your personal information will be stored and processed, please click here.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Airflow APIs Architecture AWS Computer Science Data analysis Data pipelines DevOps Docker Engineering ETL Git Hadoop Kafka Machine intelligence Machine Learning Matplotlib Pipelines Plotly Prototyping Python RDBMS Scala Spark SQL Tableau
Perks/benefits: Career development Competitive pay Health care Unlimited paid time off
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