Sr. 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. What You'll Do 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 What You'll Bring 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, ClickHouse, 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 Benefits Medical plans with plan options and $0 payroll deduction Family-building, fertility, adoption and surrogacy benefits Dental (including orthodontic coverage) and vision plans with options for $0 paycheck contribution Company paid HSA contribution when enrolled in a 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) and Paid Holidays Back-up childcare and parenting support resources Voluntary benefits including 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 Expected Compensation $100,000 - $216,000/annual salary + cash and stock awards + benefits Pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment. Tesla #J-18808-Ljbffr Tesla