Tesla

Makes electric cars, robotaxis and grid batteries

Data Engineer

Data EngineeringUpdated on Nov 12

Full-timeSparks, NV, USANo salary listedIn-person

About the Job

Requirements

At least 5 years of experience providing automation and data solutions.
Deep SQL expertise and a strong understanding of relational databases such as SQL Server, MySQL, Oracle, and Vertica.
Experience in data warehousing, including dimensional, star, or snowflake data modeling, large-scale data processing, and enterprise warehouse design and maintenance.
A solid understanding of large language models and their application in enterprise solutions.
Proficiency in Python, with experience improving, refactoring, and building efficient data pipelines and APIs.
Ability to design and maintain continuous integration and continuous delivery pipelines for reliable, scalable deployments.
Proficiency with Docker, Git, and modern engineering best practices.
Experience delivering insights with data visualization and reporting tools such as Tableau, Power BI, or Looker.
Familiarity with distributed systems such as Kafka, Spark, and Iceberg, and NoSQL/document databases such as MongoDB.
Expertise in scalable extract, transform, and load processes and data pipelines, using tools such as SSIS, Informatica, Airflow, or Luigi.

Responsibilities

Design and implement automated data solutions for business teams, including Manufacturing, Field Quality, and Remanufacturing.
Design and implement data storage and management systems using relational, NoSQL, and graph databases.
Work with engineers and conduct end-to-end analyses, from gathering data requirements through data processing and modeling.
Analyze service and vehicle data to extract insights, identify field failure trends, and drive product improvements.
Write, maintain, and optimize scripts, processes, and jobs used by analytics and reporting solutions.
Architect and implement data pipelines and automation systems for data retrieval, processing, analysis, and visualization, including efficient batch and real-time data handling.
Design and refine data models using best practices and approaches such as star schema for reporting and analytics.
Identify slow-running processes and bottlenecks, troubleshoot problems, and research and resolve issues.
Keep up with trends in data engineering and experiment with new tools, services, technologies, and real-time processing frameworks.
Set technical standards for the team by example in coding, documentation, and best practices.

Category	Manufacturing
Location	Sparks, Nevada
Requisition ID	276473
Type	Full-time

Job Description

<p>We are seeking a skilled and collaborative Data Engineer to join our team. In this role, you will lead the development of data pipelines, data warehousing, and reporting infrastructure to support the growth of Gigafactory Nevada.</p><p>As a key member of our team, you will design, build, and maintain large-scale data systems to combine data from various data sources, including manufacturing, internal applications, and other data warehouses. Your work will contribute to our understanding of key business performance indicators, informing data-driven decisions to optimize our strategies and drive decision making for all our products. You will work closely with cross-functional teams, including service operations, reman operations and quality engineering to maximize quality of our products.   </p>

Job Responsibilities

Design and implement automated data solutions to support various business teams such as Manufacturing, Field Quality and Remanufacturing

Design and implement robust data storage and management systems, leveraging relational databases, NoSQL databases, and graph databases to support diverse data needs

Work effectively with engineers and conducting end-to-end analyses, from data requirement gathering, to data processing and modeling

Analyze service and vehicle data to extract actionable insights, identify field failure trends, and drive product improvements

Write, maintain and optimize scripts, processes and jobs that will be used by analytics and reporting solutions

Architect and implement data pipelines and automation systems to streamline data retrieval, processing, analysis, and visualization, ensuring efficient handling of batch and real time data

Design and refine data models by following best practices and techniques using most effective approaches for reporting and analytics such as star schema

Identify slow-running processes and bottlenecks, troubleshoot problems, research and resolve issues

Stay up to date with latest trends in data engineering, experiment with new tools, services, technologies and real-time processing frameworks

Set high technical bar not just for yourself but for entire team, leading by example in coding standards, documentation and best practices

Job Requirements

5+ years of experience with a focusing on providing automations and data solutions

Deep SQL expertise and very good understanding of relational databases (SQL Server, MySQL, Oracle, Vertica, etc.)

Experience in data warehousing, including data modeling (dimensional/star/snowflake), large-scale data processing and enterprise warehouse design and maintenance

Solid understanding of large language models (LLMs) and their application in enterprise solutions

Python proficiency with experience improving, refactoring, and building efficient data pipelines and API

Ability to design and maintain CI/CD pipelines, ensuring reliable and scalable deployments

Proficiency with Docker, Git, and modern engineering best practices

Experience delivering insights with data visualization and reporting tools such as Tableau, Power BI, Looker, etc.

Familiarity with distributed systems (Kafka, Spark, Iceberg) and NoSQL/document databases (MongoDB)

Expertise in scalable ETL and data pipelines and tools such as (SSIS, Informatica, Airflow, Luigi or similar)

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

Recently Posted Jobs

Explore more opportunities at Tesla

See more jobs