What to Expect
Tesla is seeking an exceptional Data Engineer who can build scalable, high-quality modules to power forecasting models, production planning and deployment logistics for its energy business on our planning platform. This role bridges advanced technical expertise with supply chain knowledge to maintain and enhance the optimization tools that power factory planning decisions across all Tesla manufacturing facilities worldwide. You'll work in a fast-paced environment where your technical innovations directly impact Tesla's production efficiency and our ability to meet global demand for energy products.
What You'll Do-
Serve as the technical owner for the energy modules and its associated optimization tools
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Develop and maintain algorithms that drive prioritization and sequencing logic for global factory planning
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Design and implement advanced optimization algorithms that balance production constraints with demand patterns
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Collaborate with demand planning and production planning teams to automate their processes
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Partner with operations teams to support their planning-based tasks at factory, warehouse and operation center level
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Design and optimize data models that support high-performance planning operations
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Develop efficient ETL processes to integrate data from our in-house ERP system and other sources
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Write complex SQL queries to analyze supply-demand dynamics and identify planning opportunities
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Support executive reporting by developing data pipelines that transform complex planning data into actionable insights
What You'll Bring-
Degree in Computer Science, Engineering, Information Science, Operations Research or related field, or equivalent experience
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2+ years of experience in Software Development or Data Engineering roles
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Advanced Python programming with expertise in numerical computing libraries (NumPy, Pandas, SciPy)
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Strong SQL proficiency for complex data manipulation and analysis
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Experience with optimization frameworks and algorithms (linear programming, constraint satisfaction)
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Understanding of manufacturing planning concepts and S&OP processes
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Ability to translate complex business requirements into technical specifications
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Experience working with cross-functional teams and building organic support for technical initiatives
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Excellent judgment and proactive problem-solving mindset
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Self-motivation, strong work ethic, and comfort with rapid pace of change
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
Tesla is an Equal Opportunity / Affirmative Action employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state or local laws.
Tesla is also committed to working with and providing reasonable accommodations to individuals with disabilities. Please let your recruiter know if you need an accommodation at any point during the interview process.
