Tesla

Makes electric cars, robotaxis and grid batteries

Data Engineer - Powertrain & Field Reliability

Data EngineeringConfirmed live in the last 24 hours

Full-timeSunnyvale, CA, USANo salary listedIn-person

About the Job

Requirements

A degree in Computer Science, Software Engineering, Electrical Engineering, Physics, or Math, or equivalent experience.
At least 3 years of experience working with advanced data analysis tools.
At least 2 years of experience with Python, Splunk, Spark, and SQL.
Proficiency with data visualization tools, including Tableau, Matplotlib, or Plotly.
A strong understanding of statistical analysis techniques, including reliability statistics.
Experience with Kubernetes, Docker, and continuous integration and continuous delivery processes.
The ability to collaborate with stakeholders to gather requirements and deliver solutions.
Strong analytical and problem-solving skills, with attention to detail and accuracy.
Excellent verbal and written communication skills.

Responsibilities

Analyze service and vehicle data to extract actionable insights, identify field failure trends, and drive product improvements.
Develop, maintain, and optimize extract, transform, and load pipelines and continuous integration and continuous delivery workflows for data processing and analysis.
Build and enhance applications and tools using Splunk, Spark, Python, and Kubernetes.
Create dashboards and visualizations using Tableau, Matplotlib, or Plotly to communicate trends and findings.
Conduct statistical analyses to quantify reliability risks and detect emerging trends.
Support and troubleshoot application-level issues to ensure robust system performance.
Maintain and improve data systems, pipelines, and dashboards in response to business needs, and drive continuous improvements.

Desired Qualifications

Advanced Spark API experience.
Experience with Weibull Analysis.

Category	Engineering & Information Technology
Location	Sunnyvale, California
Requisition ID	259925
Type	Full-time

Job Description

Tesla’s Field Reliability Engineering team is on a mission to enhance the customer experience by identifying and resolving field issues. Collaborating with a wide range of engineering teams, this group analyzes millions of service and repair records to uncover actionable insights and improve Tesla’s products.The Field Reliability team builds robust data infrastructure, ETL pipelines, and applications to empower cross-functional teams with actionable data. As a Data Engineer, you will leverage big-data analytics to transform raw data into meaningful visualizations and tools. Your work will drive improvements in vehicle reliability and customer satisfaction.This role offers a unique opportunity to develop advanced analytics tools using platforms such as Splunk, Spark, and Python within a Kubernetes environment. Based in Sunnyvale, CA, this role will shape the data powering Tesla's reliability efforts.

Job Responsibilities

Analyze service and vehicle data to extract actionable insights, identify field failure trends, and drive product improvements
Develop, maintain, and optimize ETL pipelines and CI/CD workflows for data processing and analysis
Build and enhance applications and tools leveraging Splunk, Spark, Python, and Kubernetes
Create dashboards and visualizations using Tableau, Matplotlib, or Plotly to communicate trends and findings effectively
Conduct statistical analyses to quantify reliability risks and detect emerging trends
Support and troubleshoot application-level issues to ensure robust system performance
Maintain and improve data systems, pipelines, and dashboards in response to business needs and drive continuous improvements

Job Requirements

Degree in Computer Science, Software Engineering, Electrical Engineering, Physics, Math, or equivalent experience
3+ years working with advanced data analysis tools
2+ years with Python, Splunk, Spark, and SQL. Advanced Spark API experience preferred
Proficiency in data visualization tools (Tableau, Matplotlib, Plotly)
Strong understanding of statistical analysis techniques, including reliability statistics (Weibull Analysis preferred)
Experience with Kubernetes, Docker, and CI/CD processes
Exceptional analytical and problem-solving skills with attention to detail and accuracy
Strong ability to collaborate with stakeholders to gather requirements and deliver impactful solutions
Excellent verbal and written communication skills
Passion for data and data-driven decision-making

About the Company

Tesla

Makes electric cars, robotaxis and grid batteries

Tesla makes electric cars and batteries that store power for homes and utilities, and it develops self-driving software and humanoid robots. In 2023, its Model Y became the first electric vehicle to rank as the world's best-selling car. Buyers order the Model 3 sedan, Model Y SUV, or Cybertruck pickup directly from Tesla instead of through dealers, and they charge on its Supercharger fast-charging network. It also sells Megapack and Powerwall batteries, runs a robotaxi service, and charges drivers a monthly fee for self-driving software that still needs their supervision. Tesla was founded in 2003, with Elon Musk as its lead early investor and a recognized co-founder, and it is based in Austin, Texas.

Company size: 10,001+
Company stage: IPO
Headquarters: Austin, TX
Founded: 2003

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