LFP Data Engineer, Manufacturing Software & Analytics

About the role

LFP Data Engineer, Manufacturing Software & Analytics | Tesla (Manufacturing)

Location: Sparks, Nevada | Req ID: 283238 | Job Type: Full-time

What to Expect

The Manufacturing Software & Analytics team is looking for a Data Engineer to support the automation of reports and actions, as well as manufacturing data analytics. You’ll also be responsible for performing advanced analytics, creating infrastructure and data pipelines, developing analytical models and making data applications/visualizations that enable cross functional teams to leverage a wealth of manufacturing, equipment and vehicle data both efficiently and effectively.

What You'll Do

• Analyze high-volume manufacturing, equipment, and product field data from multiple sources to extract actionable statistics and insights on failures, trends, and performance—driving improvements in quality, throughput, process efficiency, and customer experience
• Build, maintain, and enhance data aggregation pipelines using Python, Apache Airflow, Spark, and SQL; acquire data from primary/secondary sources and ensure data quality
• Create powerful visualizations, dashboards, and reports with in-house tools, Tableau, Streamlit, and Grafana to monitor key metrics, depict data stories, and support decision-making
• Conduct end-to-end analyses: gather requirements, process and model data, apply statistical techniques, perform root-cause investigations of system/metric changes
• Collaborate with software, controls, process, and quality engineers to improve data collection, reporting tools, and resolve issues in a high-volume manufacturing environment
• Maintain existing visualizations, pipelines, databases, and dashboards while fulfilling enhancement requests
• Dive deep into investigations of potential system issues, using data to arrive at logical conclusions and to convince the team what action is necessary
• Perform data quality validations to ensure data creation is as per the business needs and expectations

What You'll Bring

• Degree in Management Information Systems, Computer Science, Math, Physics, Mechanical Engineering, Electrical Engineering, Statistics or Equivalent experience
• 2+ years of experience working with large-scale manufacturing data
• 2+ years of experience delivering data solutions to internal or external customers
• 2+ years of experience writing scripts or programs with Python OR Go-Lang
• 2+ years of experience with SQL database queries
• 2+ years of experience building analytical dashboards
• 1+ year of experience with Git
• Able to work under pressure while collaborating and managing competing demands with tight deadlines
• Strong verbal and written communication skills to quickly translate needs into data analysis problems and effectively communicate learnings

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
• Earned Wage Access: Real-time pay access paid daily, subject to eligibility and schedule (applicable for below Sr. Managers levels)