Startup Careers

Be a part of our family by contributing to our portfolio companies’ innovation and success. Browse open positions below with Intel Capital portfolio companies.

Back End Data Engineer at Peloton
Mountain View, CA, US
At Peloton Technology, we are transforming the trucking industry, bringing groundbreaking safety, efficiency and data to the trucks that drive the economy. We are a hands-on team of action with diverse backgrounds, united by a common goal.
 
Peloton seeks a Back End Data Engineer to own data ingestion and usage of our diverse data collected from our platooning fleets. The Back End Data Engineer will contribute to a rich set of batch and streaming analytic products.
 
Responsibilities include design, production setup and management of database schemas and implementation of back-end applications operating on large data sets; integration with data storage such as Cassandra, Redis, and AWS S3; and the creation of analytic data access APIs for internal and external customers.  This role will interface with the Network Operations team, the web Front End team, and the DevOps team.

Required Skills

    • CS/CE degree with strong analytic focus preferred, 5-7 years industry experience.
    • Currency in batch and streaming analytics systems.
    • Analytic algorithm implementation in a production context; experience designing and coding multi-tenant systems in the cloud or colo-based environments where designing for scale and resilience are critical.
    • Preferred languages: Go, Java, Python. Experience with C++ for integrating with in-vehicle embedded systems is a plus.
    • Experience building applications in AWS or similar is highly desired, especially those serving IoT ecosystems.
    • Experience with NoSQL-based storage, preferably Cassandra and Redis. Strong data modeling experience required in a mixed NoSQL and SQL environments.
    • Passionate about leading edge systems, tools and processes; uncompromising on test driven development, continuous integration, agile methodologies and tight collaboration.