Location
In office (Austin)
Employment
Full-Time
First seen by Alion on Nov 8, 2026.
Overview
Company
Impact
Profile match
Tesla is an American electric vehicle and clean energy company founded in 2003 and headquartered in Austin, Texas. It designs, manufactures and sells the Model 3, Model Y, Model S, Model X and Cybertruck through a direct sales model, supported by the largest fast-charging network in the world. Beyond vehicles the company builds Powerwall and Megapack battery storage, solar products, the Full Self-Driving driver assistance stack and the Optimus humanoid robot, and it operates factories in the United States, China and Germany.
Backed by ValueAdd VC
Tesla is seeking a Manufacturing Accounting Data Engineer to build and maintain data pipelines and infrastructure supporting manufacturing accounting. The role analyzes manufacturing costs and variances, develops reporting and dashboards, and provides insights to improve efficiency, profitability, and financial reporting.
Responsibilities
- Data Pipeline and Infrastructure Development: Build and maintain data pipelines, databases, and infrastructure using tools like SQL, Python, and CI/CD to automate analyses and support manufacturing accounting operations. Acquire data from primary or secondary sources and ensure data systems empower operational and exploratory analysis
- Compliance, Audit, and Automation: Ensure compliance with internal policies, accounting standards, and regulations. Support audits by providing documentation and analysis of manufacturing costs. Automate analyses and pipelines to enable production and finance teams to leverage key insights efficiently
- Cost Analysis and Variance Analytics: Conduct in-depth analysis of manufacturing costs, track actual costs for processes and products, and perform variance analyses to identify deviations, cost-saving opportunities, and process improvements. Monitor cost trends, investigate drivers of fluctuations, and propose corrective actions in collaboration with cross-functional teams
- Insights and Reporting: Analyze manufacturing data across production lines to extract statistics, identify trends or patterns in complex datasets, and depict insights via innovative dashboards and reports for upper-level management. Drive meaningful improvements to production efficiency and financial reporting
- Cross-Functional Collaboration and System Improvements: Work closely with Controls, Process, Manufacturing Engineers, Finance, Operations, and other stakeholders to develop manufacturing variances, inventory, and scrap data collection activities, improve reporting tools, and enhance underlying data systems. Identify underutilized data sources and think outside the box to develop new ways to gather actionable insights for business decisions
- Inventory and Cost Control: Perform inventory analysis to ensure accuracy, identify discrepancies, and optimize control processes. Implement cost control measures, evaluate cost-saving initiatives, and propose strategies to enhance manufacturing efficiency and reduce expenses
Skills
- Degree in Accounting, Finance, Data Engineering, Computer Science, or equivalent experience
- 2-4 years of experience in data engineering, cost accounting, or a similar role within manufacturing environments, including working with large datasets and Manufacturing Execution Systems
- Strong technical skills in SQL for data extraction and manipulation, Python for automation, Tableau (or similar) for visualizations, advanced MS Excel, and ERP systems
- Deep understanding of manufacturing processes, cost accounting principles, financial analysis, cost modeling, and variance analysis
- Excellent analytical skills, attention to detail, problem-solving abilities, and the capacity to interpret complex data for actionable decisions
- Ability to thrive in a fast-paced, evolving environment, with strong communication, collaboration, and decision-making skills
- CPA license, MBA, or relevant certifications preferred
Benefits
- For full-time Tesla employees, eligible from day 1 of hire: medical plan options with $0 payroll deduction.
- For full-time Tesla employees, eligible from day 1 of hire: family-building, fertility, adoption and surrogacy benefits.
- For full-time Tesla employees, eligible from day 1 of hire: dental plans (including orthodontic coverage) and vision plans, both with options for a $0 paycheck contribution.
- For full-time Tesla employees enrolled in the High-Deductible medical plan with HSA, a company-paid HSA contribution.
- For full-time Tesla employees, eligible from day 1 of hire: Healthcare and Dependent Care Flexible Spending Accounts (FSA).
- For full-time Tesla employees, eligible from day 1 of hire: 401(k) with employer match, Employee Stock Purchase Plans, and other financial benefits.
- For full-time Tesla employees, eligible from day 1 of hire: company-paid Basic Life and AD&D.
- For full-time Tesla employees, eligible from day 1 of hire: short-term and long-term disability insurance (90-day waiting period).
- For full-time Tesla employees, eligible from day 1 of hire: Employee Assistance Program.
- For full-time Tesla employees, eligible from day 1 of hire: sick and vacation time (flex time for salary positions; accrued hours for hourly positions) and paid holidays.
- For full-time Tesla employees, eligible from day 1 of hire: back-up childcare and parenting support resources.
- For full-time Tesla employees, eligible from day 1 of hire: voluntary benefits including critical illness, hospital indemnity, accident insurance, theft and legal services, and pet insurance.
- For full-time Tesla employees, eligible from day 1 of hire: weight loss and tobacco cessation programs.
- For full-time Tesla employees, eligible from day 1 of hire: Tesla Babies program.
- For full-time Tesla employees, eligible from day 1 of hire: commuter benefits.
- For full-time Tesla employees, eligible from day 1 of hire: employee discounts and perks program.
- For full-time Tesla employees, eligible from day 1 of hire: Earned Wage Access with real-time pay access paid daily, subject to eligibility and schedule; applicable below Sr. Managers levels.
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