Data Engineer, Demand Planning

At Tesla, the Data Engineer, Demand Planning role focuses on building the data foundation and scalable modules that support forecasting, production planning, and deployment logistics across the energy business. This position blends software development and data engineering with supply-chain planning needs, helping maintain and enhance optimization tools used for decision-making at manufacturing facilities worldwide.

Working in an onsite environment in Austin, TX, you will take ownership of core energy modules and the associated optimization tooling, while partnering across planning, operations, and factory stakeholders to automate workflows and improve planning performance through data modeling, ETL pipelines, and analysis.

Responsibilities

• Act as the technical owner for the energy modules and their associated optimization tools
• Develop and maintain algorithms that enable prioritization and sequencing logic for global factory planning
• Design and implement advanced optimization algorithms that balance production constraints with demand patterns
• Collaborate with demand planning and production planning teams to automate their processes
• Partner with operations teams to support planning-based tasks at factory, warehouse, and operation center levels
• Design and optimize data models for high-performance planning operations
• Build efficient ETL processes to integrate data from Tesla’s in-house ERP system and other sources
• Write complex SQL queries to analyze supply-demand dynamics and surface planning opportunities
• Support executive reporting by creating data pipelines that convert complex planning data into actionable insights

Requirements

• Degree in Computer Science, Engineering, Information Science, Operations Research, or a related field (or equivalent experience)
• 2+ years of experience in Software Development or Data Engineering roles
• Advanced Python skills with numerical computing libraries including NumPy, Pandas, and SciPy
• Strong SQL capability for complex data manipulation and analysis
• Experience with optimization frameworks and algorithms such as linear programming and constraint satisfaction
• Understanding of manufacturing planning concepts and S&P processes
• Ability to translate complex business requirements into technical specifications
• Experience working cross-functionally and providing organic support for technical initiatives
• Excellent judgment and a proactive problem-solving mindset
• Self-motivation, strong work ethic, and comfort with a rapid pace of change

Technologies

• Python, NumPy, Pandas, SciPy, SQL
• Linear programming, constraint satisfaction

Benefits

• Medical plans with $0 payroll deduction
• Family-building, fertility, adoption, and surrogacy benefits
• Dental (including orthodontic coverage) and vision plans with $0 paycheck contribution
• Company-paid Health Savings Accounts (HSA) contribution when enrolled in the High-Deductible medical plan with HSA
• Healthcare and Dependent Care Flexible Spending Accounts (FSA)
• 401(k) with employer match
• Employee Stock Purchase Plans
• Company-paid Basic Life, AD&D
• Short-term and long-term disability insurance with a 90 day waiting period
• Employee Assistance Program
• Sick and Vacation time (Flex time for salary positions, Accrued hours for Hourly positions) and Paid Holidays
• Back-up childcare and parenting support resources
• Voluntary benefits: 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