Data Engineer, Inbound Logistics

Data Engineer, Inbound Logistics Tesla - 3.3 Fremont, CA Job Details Full-time $100,000 - $180,000 a year 2 hours 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 SQL Data quality monitoring Scope management Cross-functional collaboration Project leadership Database software proficiency Full Job Description What to Expect The Supply Chain Analytics team, part of the Material Planning & Logistics 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 serve as the primary Data Engineer supporting Tesla's Inbound Logistics organization across NA and EMEA. You will be the go-to expert for logistics data infrastructure, carrier performance KPIs, and cost-savings initiatives - owning each initiative end-to-end from scoping and stakeholder alignment through implementation and impact tracking. You will own end-to-end data pipelines that drive accountability with carriers and unlock cost-savings opportunities. Working closely with logistics operations, TMS, IT, and regional leadership, you will leverage the standards, tools, and expertise of the central Analytics team. The ideal candidate is a curious and driven engineer who excels at building scalable data pipelines, managing initiatives end-to-end, partnering with operations, and solving complex logistics problems with data. What You'll Do Design, build, and maintain core inbound-logistics ETL pipelines Develop and own global Carrier KPI frameworks, dashboards, and automated reporting Partner cross-functionally with logistics operations, IT, and regional leadership to align on KPI definitions and roll out new metrics Lead cost-savings initiatives end-to-end across logistics areas - from scoping and business case, through stakeholder alignment, implementation, and post-launch impact tracking Develop optimization tools and analytics to reduce logistics cost Build automated alerts and exception reports to support operational excellence. Investigate data-quality issues across logistics tables and deploy fixes end-to-end Support leadership with ad-hoc analyses, roadmap documentation, and progress summaries on cost-savings initiatives What You'll Bring Degree in a quantitative field (e.g., Engineering, Computer Science, Supply Chain, Business Analytics, Economics) or equivalent experience or evidence of exceptional ability, with 2+ years of work experience in supply-chain analytics, logistics analytics, data engineering, or a related role Demonstrated ability to manage cost-savings initiatives end-to-end — scoping, stakeholder alignment, execution, and impact tracking — with strong project-management skills Strong proficiency in SQL, with experience optimizing queries on large-scale data warehouses Hands-on experience designing and operating production data pipelines (Airflow DAGs, scheduled ETL jobs) with strong attention to data quality and observability Proficiency in Python for data engineering, automation, and analysis. Experience building dashboards (Tableau, Streamlit, or similar) for operational stakeholders A structured, data-driven, and quantitative approach to problem-solving — able to root-cause logistics data issues and translate findings into pipeline or business changes Demonstrated ability to partner with operations, IT, and regional stakeholders (NA, EMEA) to align on KPI definitions and drive adoption Familiarity with the inbound logistics domain is highly preferred. Familiarity with AI tools and AI-assisted development for data processing and automation is a plus 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: 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 $100,000 - $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.