Data Engineer, Cathode Engineering
Salary undisclosed
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What To Expect
Tesla is commissioning the largest cathode active materials manufacturing plant in North America while simultaneously developing next generation materials to power a future of sustainable abundance for all. Critical to the success of this mission is the development of data infrastructure and materials science characterization techniques that accelerate our R&D to production pipeline.
As a data engineer supporting this team, you’ll have the chance to build and deploy exciting applications, ranging from Laboratory Information Management Systems, Material Execution Systems, Computer vision problems, and many more. You will join as a foundational member of the team to build the prototype applications, develop the data infrastructure and identify and build products that eliminate blind spots in analysis. Your understanding of engineering fundamentals (materials science, reliability engineering, industrial engineering, etc) will make you a key voice in determining the appropriate parameters to track and optimize during experimental planning and execution.
What You'll Do
Build and maintain data pipelines to synthesize data streams from across multiple analysis scales (lab, pilot, production) to build comprehensive data sets that enable meaningful scaleup comparisons and tracking of material history through the materials to cell circuit Design and build meaningful visualizations to allow for efficient and reliable production monitoring Implement statistical and machine learning models which detect process anomalies Develop data exploration tools for visualizing and statistically comparing metrics across groups to improve process performance
What You'll Bring
Degree with 2+ years of data analysis or relevant experience in chemical engineering, materials science, computer science, physics, statistics, or equivalent quantitative discipline. Senior roles available for more experienced candidates Hands on experience with databases (MySQL, MongoDB, etc.) and the scientific Python stack (Pandas, NumPy, SciPy, Scikit-learn, Matplotlib, etc) Experience building efficient data pipelines that leverage stream/batch-processing platforms (e.g. Kafka, Airflow), and APIs (e.g. FastAPI, GraphQL), -Experience with Git or other source control software -Strong verbal and written communication skills to quickly translate needs into data analysis problems and effectively communicate learnings
Benefits
Compensation and 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) 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
$80,000 - $222,000/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.
, Tesla
Tesla is commissioning the largest cathode active materials manufacturing plant in North America while simultaneously developing next generation materials to power a future of sustainable abundance for all. Critical to the success of this mission is the development of data infrastructure and materials science characterization techniques that accelerate our R&D to production pipeline.
As a data engineer supporting this team, you’ll have the chance to build and deploy exciting applications, ranging from Laboratory Information Management Systems, Material Execution Systems, Computer vision problems, and many more. You will join as a foundational member of the team to build the prototype applications, develop the data infrastructure and identify and build products that eliminate blind spots in analysis. Your understanding of engineering fundamentals (materials science, reliability engineering, industrial engineering, etc) will make you a key voice in determining the appropriate parameters to track and optimize during experimental planning and execution.
What You'll Do
Compensation and Benefits
Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire:
$80,000 - $222,000/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.
, Tesla
What To Expect
Tesla is commissioning the largest cathode active materials manufacturing plant in North America while simultaneously developing next generation materials to power a future of sustainable abundance for all. Critical to the success of this mission is the development of data infrastructure and materials science characterization techniques that accelerate our R&D to production pipeline.
As a data engineer supporting this team, you’ll have the chance to build and deploy exciting applications, ranging from Laboratory Information Management Systems, Material Execution Systems, Computer vision problems, and many more. You will join as a foundational member of the team to build the prototype applications, develop the data infrastructure and identify and build products that eliminate blind spots in analysis. Your understanding of engineering fundamentals (materials science, reliability engineering, industrial engineering, etc) will make you a key voice in determining the appropriate parameters to track and optimize during experimental planning and execution.
What You'll Do
Build and maintain data pipelines to synthesize data streams from across multiple analysis scales (lab, pilot, production) to build comprehensive data sets that enable meaningful scaleup comparisons and tracking of material history through the materials to cell circuit Design and build meaningful visualizations to allow for efficient and reliable production monitoring Implement statistical and machine learning models which detect process anomalies Develop data exploration tools for visualizing and statistically comparing metrics across groups to improve process performance
What You'll Bring
Degree with 2+ years of data analysis or relevant experience in chemical engineering, materials science, computer science, physics, statistics, or equivalent quantitative discipline. Senior roles available for more experienced candidates Hands on experience with databases (MySQL, MongoDB, etc.) and the scientific Python stack (Pandas, NumPy, SciPy, Scikit-learn, Matplotlib, etc) Experience building efficient data pipelines that leverage stream/batch-processing platforms (e.g. Kafka, Airflow), and APIs (e.g. FastAPI, GraphQL), -Experience with Git or other source control software -Strong verbal and written communication skills to quickly translate needs into data analysis problems and effectively communicate learnings
Benefits
Compensation and 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) 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
$80,000 - $222,000/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.
, Tesla
Tesla is commissioning the largest cathode active materials manufacturing plant in North America while simultaneously developing next generation materials to power a future of sustainable abundance for all. Critical to the success of this mission is the development of data infrastructure and materials science characterization techniques that accelerate our R&D to production pipeline.
As a data engineer supporting this team, you’ll have the chance to build and deploy exciting applications, ranging from Laboratory Information Management Systems, Material Execution Systems, Computer vision problems, and many more. You will join as a foundational member of the team to build the prototype applications, develop the data infrastructure and identify and build products that eliminate blind spots in analysis. Your understanding of engineering fundamentals (materials science, reliability engineering, industrial engineering, etc) will make you a key voice in determining the appropriate parameters to track and optimize during experimental planning and execution.
What You'll Do
Compensation and Benefits
Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire:
$80,000 - $222,000/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.
, Tesla
About Tesla
| Size | More than 5000 |
| Industry | Automobile Manufacturers |
| Location | Travis County, United States |
| Founded | 1 July 2003 |