Tesla Motors, Inc.
Data Engineer, Energy Service Engineering
Tesla Motors, Inc., Palo Alto, California, United States, 94306
What to Expect
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 our energy business including Industrial, Residential, Supercharger, and Solar products.
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 deployed fleets, 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 hardware products.
You will be responsible for leading the development of data efforts that will feed into the work of downstream data analytics that will address the bookkeeping of our product genesis, usage, service and replacement cycles across our growing fleet of energy products. You will work closely with cross-functional teams, including Industrial Energy, Residential Energy, and Solar Product and Service Engineering, to maximize product health of our fleet.
What You'll Do
Define and execute a data management strategy within an established information architecture to enable scalable data processing
Gather and process raw, structured, semi-structured, and unstructured data using batch processing frameworks like Apache Spark
Develop aggregate and summary tables for various engineering teams that span across multiple product lines and geographies
Design and develop new systems and tools to enable cross-functional teams to consume and understand data faster
Research and incorporate emerging software infrastructures, tools, and technologies, especially pertaining to big data processing
Mentor and lead data engineers, providing technical guidance and oversight
What You'll Bring
Bachelor's Degree in Computer Science, Engineering, Physics, or equivalent experience
Expertise in dimensional data modeling (star/snowflake schemas), including fact/dimension tables and SCD Types 1 & 2
Advanced Python skills: OOP design, debugging, navigating large codebases, and writing clean, reusable code
Strong SQL proficiency with knowledge of database internals and performance optimization
Experience building, deploying, and maintaining Spark-based data pipelines
Hands-on experience with workflow orchestration tools (Airflow or equivalent)
Proficiency in Linux with a strong bias for action
Compensation and Benefits 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 - $162,000/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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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 deployed fleets, 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 hardware products.
You will be responsible for leading the development of data efforts that will feed into the work of downstream data analytics that will address the bookkeeping of our product genesis, usage, service and replacement cycles across our growing fleet of energy products. You will work closely with cross-functional teams, including Industrial Energy, Residential Energy, and Solar Product and Service Engineering, to maximize product health of our fleet.
What You'll Do
Define and execute a data management strategy within an established information architecture to enable scalable data processing
Gather and process raw, structured, semi-structured, and unstructured data using batch processing frameworks like Apache Spark
Develop aggregate and summary tables for various engineering teams that span across multiple product lines and geographies
Design and develop new systems and tools to enable cross-functional teams to consume and understand data faster
Research and incorporate emerging software infrastructures, tools, and technologies, especially pertaining to big data processing
Mentor and lead data engineers, providing technical guidance and oversight
What You'll Bring
Bachelor's Degree in Computer Science, Engineering, Physics, or equivalent experience
Expertise in dimensional data modeling (star/snowflake schemas), including fact/dimension tables and SCD Types 1 & 2
Advanced Python skills: OOP design, debugging, navigating large codebases, and writing clean, reusable code
Strong SQL proficiency with knowledge of database internals and performance optimization
Experience building, deploying, and maintaining Spark-based data pipelines
Hands-on experience with workflow orchestration tools (Airflow or equivalent)
Proficiency in Linux with a strong bias for action
Compensation and Benefits 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 - $162,000/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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