Data Engineer Jobs

What To Expect
About Tesla and Tesla Residential Energy’s Mission
In 2016 Elon released: The Master Plan, Part Deux. In this plan he highlighted the need to Integrate Energy Generation and Storage by creating stunning solar roofs with seamlessly integrated battery storage. Tesla’s Residential Energy team encompasses both the Engineering and Operation of innovative energy products (Solar Roof, Retrofit Solar, Powerwall) that accelerate the world’s transition to sustainable energy. To achieve this mission, we leverage a combination of direct labor and sub-contractors as well as partner with certified installers and new home builders.
About Energy Data Science
The Energy Data Science team supports all branches of the Residential Energy business (Solar Hardware Engineering, Installation Operations, Supply Chain/Material Planning, Customer Experience, Design/Field Application Software). The team supports a broad range of high-visibility projects including:

The development, deployment, and evaluation of both rules-based and machine learning pipelines for labor prediction, proactive material planning, customer project timeline estimation, and installation efficiency optimization

Engineering new data pipelines and optimizing the performance of existing data pipelines depended upon by production software applications (appointment scheduling, design, contracts/pricing), operations reporting teams, and other business stakeholders

Process engineering and supporting analytics to inform software teams’ roadmap and prioritization

The Energy Data Science team functions as a key support mechanism to diagnose and solve high-impact technical problems that maximize the operational efficiency of Tesla Residential Energy—whether those problems require a data science solution or not.
What You’ll Do

• Perform data quality validations to ensure data integrity is as per business requirements
• Assemble and features engineer scalable and reliable datasets for use by machine learning engineers in model training/validation
• Interpret complex data and performance metrics, analyze results using statistical techniques, and tell the story of observed patterns/trends
• Define and monitor key product and pipeline metrics, understanding root causes of changes in these metrics
• Automate analyses and authoring pipelines via SQL and Python based ETL frameworks
• Acquire data from primary or secondary data sources and maintain databases/data systems to empower operational and exploratory analysis
• Work effectively with engineers and conduct end-to-end analyses, from data requirement gathering, to data processing and modeling
• Optimize and consolidate existing labor hour regression pipelines to support scheduling software automation efforts
• Work with management to prioritize business and information needs
• Drive underlying data systems improvement by working with key cross-functional stakeholders

What You’ll Bring

• Please include functional GitHub link on your resume**

Essential Skills - Job Specific

Extensive experience writing productionized code with Python

Experience with end-to-end deployments of data pipelines consumed by production software applications

Experience with multiple data architecture paradigms (relational, non-structured, streaming)

Knowledge of various data communication protocols (REST APIs, GraphQL, RPCs)

Extremely comfortable with version control (Git)

Extremely comfortable with complex command line operations (bash, zsh)

Experience implementing integration and unit testing for productionized code

Experience using tools like Docker, Jenkins, Kubernetes to deploy software

Essential Skills - General

Able to work under pressure while collaborating and managing competing demands with tight deadlines

A passion and curiosity for data and data-driven decision making

Raises the Bar - We need top performers who raise the bar in our organization. When we hire new candidates, they should already be better than most employees in that role. We will often need to do this by being scrappy and challenging the status quo.

Bias for Action - must have bias for action and be able to convert thought into execution quickly.

People Centric - value people and their time. Demonstrate empathy and respect.

Adaptive - Adapts to change, even when they may not be in favor of it. Someone who is collaborative and willing to take on new assignments and roles to benefit the business.

Develops Others - Serves as a multiplier. Makes others around them better by helping them highlight their strengths and work on their weaknesses. Can serve as a mentor to more junior leaders and employees and develop them for roles of greater responsibility.

Innovates - Find creative ways to simplify and look at our operation through a new lens. Not caught up on old ways of doing things. Has the ability to adapt and creatively work through problems and solutions that may not be their own.

Thinks like an Owner - Willing to take risks, own outcomes, and learn from them. Humble and prioritizes the needs of the business over their own.

Reasons from First Principles - Able to identify root causes and use data to drive decisions and change.

Resourceful - Practices frugality. Is a scrappy leader who can do more with less.

Curious - Seek to understand and show empathy. Have an insatiable thirst for learning and knowledge.

Education/Experience

BS/MS in computer science, engineering, physics, mathematics, or equivalent.

Must have 3 - 5 years of relevant working experience as a data engineer in a fast-paced, dynamic environment

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

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