Data Engineer

Job Description

The Infrastructure Operations and Analytics team designs directly with operations data and drives solutions to optimize pipeline architecture and develop systems for data collection, visualization and intelligence. In this role, you will serve as both a Data Engineer and Data Analyst, empowering Construction and Operation stakeholders with actionable insights for prioritization, cost savings, and early risk detection. You will ensure our data pipelines, dashboards, and reporting systems are maintained and developed to the highest standards of robustness, flexibility, scalability, and efficiency.

Job Responsibilities

• Interpret complex business logic and implement simple, elegant solutions while adhering to project timelines
• Extract actionable insights and identify trends to support stakeholders in driving cost-saving improvements on CAPEX and OPEX data
• Maintain, optimize, and develop ETL pipelines in SQL, Airflow and Python
• Create visualizations using tools such as Power BI, Tableau, Excel, and in-house dashboard platforms
• Continually expand the scope of your data engineering and analysis skill set
• Drive continuous improvement efforts to enable cost savings and optimize Tesla’s products and processes
• Strong communication skills, organizational skills, presentation skills, and flexibility to address competing demands

Job Requirements

• Bachelor’s Degree in Data Analytics or equivalent experience
• 3+ years of experience in programming languages such as SQL, Python, DAX, or similar
• Proficiency in data visualization tools such as Power BI, Tableau, Excel, or similar
• Proficiency in tools such as SSMS, Airflow, Microsoft Azure, and SQL Server
• In-depth knowledge of RDBMS development, Data Warehousing, and Data Modeling techniques
• Demonstrated success in applying statistical methods to data analysis, particularly regarding budget forecasting
• A successful history of integrating source systems and delivering self-serve Business Intelligence