Data Engineer, Optimus

What to Expect

Tesla is seeking a Data Engineer to join our Optimus production engineering team and play a critical role in scaling our production analytics infrastructure. In this role, you will design, build, and optimize large-scale data pipelines and systems that enable high-quality reporting, advanced analytics, and real-time insights across Tesla's manufacturing operations. You will work with cross-functional engineering, operations, and analytics teams to ensure that data is accurate, timely, and actionable—helping drive improvements in product quality, production efficiency, and decision‑making.

Expect to work in a fast‑paced, high‑energy environment where your work directly supports Tesla's mission to accelerate the world's transition to sustainable abundance.

• Design, build, and maintain scalable data pipelines and ETL frameworks for manufacturing and operational data
• Partner with engineers, analysts, and business stakeholders to translate requirements into robust data models and architecture
• Develop and optimize SQL queries, stored procedures, and views across multiple database systems
• Implement data quality checks, monitoring, and validation processes to ensure reliability and accuracy of KPIs and dashboards
• Integrate diverse data sources, including IoT, MFS, FX, and WARP systems, into unified data models
• Build automation frameworks for data ingestion, transformation, and orchestration using Airflow or similar tools
• Collaborate with data visualization teams to enable interactive dashboards and analytics for operations and leadership
• Ensure data security, governance, and best practices in system design and usage
• Drive continuous improvement in data infrastructure, performance tuning, and scalability
• Integrate factory AI resources into streamlined data analysis, enhancing efficiency and accuracy in manufacturing operations

• Degree in Computer Science, Data Engineering, Information Systems, or equivalent experience
• 4+ years of experience in data engineering, preferably supporting manufacturing, operations, or industrial analytics
• Strong expertise in SQL and experience with multiple database platforms (MySQL, MS SQL Server, Oracle, Vertica, Click House, or similar)
• Proficiency in Python for data engineering and automation (pandas, PySpark, or similar frameworks)
• Hands‑on experience with distributed data processing technologies such as Spark, Kafka, or Flink
• Experience with orchestration and workflow management tools (Airflow, Prefect, or Luigi)
• Solid understanding of data warehousing concepts, dimensional modeling, and schema design
• Familiarity with containerized & cloud‑based deployment (Docker, Kubernetes, AWS, GCP or Azure)
• Experience with BI and visualization tools such as Tableau, Power BI, or Superset and strong communication skills and ability to collaborate across engineering and business functions
• Passion for building scalable, reliable data systems that drive measurable impact in a manufacturing environment

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)