Data Engineer, Fleet Analytics

What To Expect
Data is deeply embedded in the product and engineering culture at Tesla. We rely on data – lots of it – to improve autopilot, to optimize hardware designs, to proactively detect faults, and to optimize load on the electrical grid. We collect data from each of our cars, Superchargers, and energy storage devices to make these products better and our customers safer.
We're the Fleet Analytics team, a central team that helps many teams leverage the data we collect. We help engineers through direct support by doing data analysis for them and through applications and tools so they can self-serve those analyses in the future. To do so, we leverage our internal data platform built on top of AWS, S3, Spark, Trino using open source data science tools such as Jupyter notebooks, Pandas, Bokeh, Superset, and Airflow. Our work has a direct impact on Tesla's product, and enables the work of hundreds of engineers across disciplines throughout the company.
We're looking for a talented engineer to own the full breadth of data engineering, data analysis, and data science activities for one of our partner engineering teams. You will leverage Tesla's wealth of device data and a first-principles approach to problem solving to inform future hardware and firmware designs, as well as ensuring that our existing vehicles, chargers, and energy devices continue to perform to Tesla's exacting standards. In this embedded role you will partner with a team focusing on another discipline (e.g., mechanical engineering, electrical engineering, or firmware engineering), joining their projects to help define product requirements, optimize control algorithms, or otherwise improve the product quality. You will also work with other members of Fleet Analytics for peer reviews, technical growth, and to build sophisticated tools and and infrastructure for working with device data. These tools will be used across the team to improve our efficiency and also shared with the rest of the company so that those we do not directly support still benefit from our work.
What You’ll Do

• Work with engineers to drive usage of your applications and tools
• Give talks, contribute to open source projects, and advance data science on a global scale
• Operate and support your production applications
• Keep up to date on relevant technologies and frameworks, and propose new ones that the team could leverage
• Work with stakeholders to take a vague problem statement, refine the scope of the analysis, and use the results to drive informed decisions
• Identify trends, invent new ways of looking at data, and get creative in order to drive improvements in both existing and future products
• Summarize and clearly communicate data analysis assumptions and results
• Write clean and tested code that can be maintained and extended by other software engineers
• Build data pipelines to promote your ad-hoc data analyses into production dashboards that engineers can rely on
• Write reproducible data analysis over petabytes of data using cutting-edge open source technologies
• Design and implement metrics, applications and tools that will enable engineers by allowing them to self-serve their data insights

What You’ll Bring

• Strong verbal and written communication skills
• Smart but humble, with a bias for action
• Strong proficiency in Python, SQL
• Experience building data visualizations
• Experience writing software in a professional environment
• Strong problem-solving skills to help refine problem statements and figure out how to solve them with the available data
• Curious and driven to solve complex problems
• Strong foundation in statistics

Nice To Have

Experience with data science tools such as Pandas, Numpy, R, Matlab, Octave

Experience with complex hardware systems

Experience building data pipelines

Experience building web applications

Experience building machine learning models in a professional environment

Experience with continuous integration and continuous development

Experience in devops, i.e. Linux, Ansible, Docker, Kubernetes

Understanding of distributed computing, i.e. how HDFS, Spark and Presto work

Proficient in Scala

Benefits
Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire:

Aetna PPO and HSA plans > 2 medical plan options with $0 payroll deduction

Family-building, fertility, adoption and surrogacy benefits

Dental (including orthodontic coverage) and vision plans, both have options with a $0 paycheck contribution

Company Paid (Health Savings Account) HSA Contribution when enrolled in the High Deductible Aetna medical plan with HSA

Healthcare and Dependent Care Flexible Spending Accounts (FSA)

LGBTQ+ care concierge services

401(k) with employer match, Employee Stock Purchase Plans, and other financial benefits

Company paid Basic Life, AD&D, short-term and long-term disability insurance

Employee Assistance Program

Sick and Vacation time (Flex time for salary positions), and Paid Holidays

Back-up childcare and parenting support resources

Voluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance

Weight Loss and Tobacco Cessation Programs

Tesla Babies program

Commuter benefits

Employee discounts and perks program

Expected Compensation
$104,000 - $348,000/annual salary + cash and stock awards + benefits
Pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.
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