Data Engineer, Manufacturing Accounting

Tesla is hiring a Manufacturing Accounting Data Engineer to design data pipelines, deliver variance analytics, and support cost reporting across high-volume manufacturing.

Responsibilities

• Build and maintain data pipelines, databases, and infrastructure using SQL, Python, and CI/CD to automate analyses for manufacturing accounting operations.
• Source data from primary or secondary systems and ensure data platforms enable operational and exploratory analysis.
• Maintain compliance with internal policies, accounting standards, and regulations.
• Support audits by providing documentation and manufacturing cost analysis.
• Automate pipelines and analyses so production and finance teams can use key insights effectively.
• Perform in-depth analysis of manufacturing costs, including tracking actual costs for processes and products.
• Run variance analyses to identify deviations, cost-saving opportunities, and process improvements.
• Monitor cost trends, investigate drivers of fluctuations, and propose corrective actions with cross-functional partners.
• Analyze manufacturing data across production lines to extract statistics, identify trends or patterns, and communicate results through dashboards and reports for upper-level management.
• Collaborate with Controls, Process, Manufacturing Engineers, Finance, Operations, and other stakeholders to develop variance, inventory, and scrap data collection activities.
• Identify underutilized data sources and create new approaches to gather actionable insights for business decisions.
• Perform inventory analysis to validate accuracy, identify discrepancies, and optimize control processes.
• Implement cost control measures, evaluate cost-saving initiatives, and propose strategies to improve manufacturing efficiency and reduce expenses.

Requirements

• Degree in Accounting, Finance, Data Engineering, or Computer Science (or equivalent experience).
• 2-4 years of experience in data engineering, cost accounting, or a similar role in manufacturing, including work with large datasets and Manufacturing Execution Systems.
• Strong SQL skills for data extraction and manipulation.
• Python experience for automation.
• Tableau (or similar) for visualizations.
• Advanced MS Excel.
• ERP systems experience.
• Deep understanding of manufacturing processes, cost accounting principles, financial analysis, cost modeling, and variance analysis.
• Excellent analytical skills, attention to detail, and the ability to interpret complex data for actionable decisions.
• Ability to thrive in a fast-paced, evolving environment with strong communication, collaboration, and decision-making.
• CPA license, MBA, or relevant certifications preferred but not required.

Technologies

• SQL
• Python
• CI/CD
• Tableau
• MS Excel
• ERP systems
• Manufacturing Execution Systems

Benefits

• Medical plans with $0 payroll deduction
• Family-building, fertility, adoption and surrogacy benefits
• Dental (including orthodontic coverage) and vision plans with 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: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance
• Weight Loss and Tobacco Cessation Programs
• Tesal Babies program
• Commuter benefits
• Employee discounts and perks program
• Earned Wage Access: real-time pay access paid daily (subject to eligibility and schedule, applicable for below Sr. Managers levels)

Location: Austin, TX (onsite)

Minimum experience: 2 years