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Data is deeply embedded in the product and engineering culture at Tesla. We rely on data – lots of it – to improve manufacturing, to optimize hardware designs, to proactively detect faults, and to optimize load on the electrical grid. 

We’re a small but fast-growing team which is building and operating the new data pipelines in the manufacturing environment at Tesla. We collect massive amounts of IoT data, provide storage, access, and high-volume processing. Our stack is built on top of open source technologies, including Spark, Kafka, and related.

We’re looking for a talented engineer to join us as a foundational member of the team to deliver new and improved big data services and infrastructure. Your work will affect many hundreds of Tesla engineers daily, as well as improving the functionality of our cars, chargers, and batteries worldwide.


·         Employ and improve industry-leading, scalable, distributed open-source technologies

·         Build back-end systems from scratch that are capable of handling trillion+ events per day

·         Facilitate operation of highly-available distributed systems at scale and across multiple locations 

·         Facilitate others in deploying, operating, and extending upon your clean, tested code 

·         Help define a platform that is highly leveraged, multi-tenant, and self-serviced

·         Work with data engineers and data scientists to drive efficient solutions from the platform

·         Help define the data story and enable data-driven solutions at Tesla, both technically and culturally


·         Strong programming fundamentals, particularly in data structures, concurrency, Go, Python, and Java

·         Deep understanding of a complex distributed system, such as Kafka, Spark, HBase, ElasticSearch

·         Have built and optimized highly available, scalable, distributed back-end services

·         Ability to break down and deeply understand complex problems and communicate complex matters efficiently

·         Strong problem solving skills, optimizing for the simplest, most robust yet practical solutions

·         Reliable, dependable, trustworthy, participating team member

·         Smart but humble, with a bias for action