Senior Data Engineer, Optimus

Описание

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

Responsibilities

• 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 SI resources into streamlined data analysis, enhancing efficiency and accuracy in manufacturing operations

Requirements

• 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

We offer

• 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)
• 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