Data Engineer, Manufacturing Accounting

Build manufacturing accounting data pipelines and deliver variance analytics that help drive cost control and efficiency at scale.

Responsibilities

• Build and maintain data pipelines, databases, and infrastructure using SQL, Python, and CI/CD to automate analyses and support manufacturing accounting operations
• Ingest data from primary and secondary sources, ensuring data systems enable both operational and exploratory analysis
• Ensure compliance with internal policies, accounting standards, and applicable regulations
• Support audits by providing documentation and analysis related to manufacturing costs
• Automate analyses and pipelines so production and finance teams can use key insights efficiently
• Analyze manufacturing costs in depth by tracking actual costs for processes and products and performing 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 in complex datasets, and present findings through innovative dashboards and reports for upper-level management
• Partner with Controls, Process, Manufacturing Engineers, Finance, Operations, and other stakeholders to develop manufacturing variance, inventory, and scrap data collection activities
• Improve reporting tools and enhance underlying data systems based on stakeholder needs
• Identify underutilized data sources and design new approaches to capture actionable insights for business decisions
• Perform inventory analysis to ensure accuracy, find discrepancies, and optimize control processes
• Implement cost control measures, evaluate cost-saving initiatives, and propose strategies to enhance manufacturing efficiency and reduce expenses

Requirements

• Degree in Accounting, Finance, Data Engineering, Computer Science, or equivalent experience
• CPA license, MBA, or relevant certifications preferred (not required)
• 2 to 4 years of experience in data engineering, cost accounting, or a similar role in manufacturing environments, including working with large datasets and Manufacturing Execution Systems
• Strong skills in SQL for data extraction and manipulation and Python for automation
• Experience with 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 and attention to detail, with strong problem-solving 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

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 to include: 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)

What to Expect

• Leverage data engineering, cost accounting, and manufacturing systems to build robust data pipelines and infrastructure
• Perform manufacturing variance analytics, monitor and analyze costs, and provide actionable insights to drive efficiency and profitability
• Transform large datasets into KPIs, visualizations, and dashboards to support cross-functional business and operational decisions

Location: Austin, TX (onsite)

Minimum Experience: 2 years