Data Engineer, Safety Stock Tesla - 3.3 Fremont, CA Job Details Full-time $120,000 - $180,000 a year 1 hour ago Benefits Commuter assistance Health savings account AD&D insurance Paid holidays Disability insurance Health insurance Dental insurance Flexible spending account Flextime Adoption assistance Employee assistance program 401(k) matching Employee discount Benefits from day one Pet insurance Qualifications Performance dashboard reports Dashboard development Data visualization software proficiency Dashboard creation support ETL process automation Cross-functional collaboration Cross-functional communication Full Job Description What to Expect The Supply Chain Analytics team, part of the Process & Analytics organization, provides dedicated analytical support to operational teams across Tesla's supply chain - driving process improvements and strategic decision-making through data. In this role, you will be the primary Data Engineer supporting Material Planning's Safety Stock program. You will own the data pipelines, analytical products, and recurring processes that enable planners across multiple manufacturing and remanufacturing sites to make data-driven safety-stock decisions. You will design and operate the safety-stock parameter-management process, the recurring material classification refresh, and Days-on-Hand analytics that drive millions of dollars of inventory impact. You will partner closely with planners, system managers, supply chain managers, and IT, and leverage the standards, tools, and expertise of the central Analytics team. The ideal candidate is a curious and driven engineer who excels at building strong stakeholder relationships, automating data workflows, and solving complex business problems with data. What You'll Do Own the safety-stock policy and parameter-management process end-to-end across all manufacturing and remanufacturing sites - including dynamic safety-stock parameters, supply/demand risk maintenance, impact validation, and recurring impact reports Manage the recurring material classification refresh cycle across sites, coordinating with planners on classification assignments and downstream planning impact Respond to ad-hoc safety-stock analyses and increase requests from planners, sizing financial impact and driving root-cause investigation for coverage gaps Build and maintain automated data pipelines (SQL, Python, Airflow) and operational dashboards (Tableau or similar) for safety-stock KPIs, parameter coverage, and inventory impact Validate safety-stock logic, investigate false positives and coverage gaps, and ensure data accuracy across safety-stock and demand-waterfall products Leverage AI tools and internal platforms to automate manual workflows, data extraction, document processing, and data migration Partner cross-functionally with planners, Supply Chain Managers, IT, and systems teams — supporting leadership with analyses, dashboards, and roadmap documentation, and independently managing multiple concurrent projects to deadline What You'll Bring Degree in a quantitative field such as Engineering, Supply Chain, Business Analytics, Economics or equivalent in experience and evidence of exceptional ability, with 2+ years of experience in supply chain analytics, material planning, safety-stock / inventory management, or a related analytical role A structured, data-driven, and quantitative approach to problem-solving Strong proficiency in SQL and Python (or equivalent) for querying large datasets and building automated pipelines (Airflow or similar) Demonstrated ability to analyze complex data and present findings clearly and concisely A collaborative, flexible working style with the ability to build trust and credibility across planners, Supply Chain Managers, and engineering partners Experience creating dashboards and visualizations using Tableau or similar tools Familiarity with material planning concepts (safety stock, inventory classification, Days-on-Hand, demand planning, MRP) and AI tools for data processing / automation is a strong plus Benefits Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire: Medical plans > 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 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, and other financial benefits Company paid Basic Life, AD&D Short-term and long-term disability insurance (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 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 $120,000 - $180,000/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 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.