Sr. Data Engineer, Supply Chain

The Supply Chain Analytics & Engineering team is seeking a highly skilled Data Engineer to design and optimize scalable data pipelines, ensuring efficient data ingestion, transformation, and access for analytics. This role will be responsible for developing ETL workflows, optimizing Airflow orchestration, improving database performance, and integrating APIs for data ingestion and serving. The ideal candidate will collaborate with cross-functional teams to drive data-driven decision-making, ensuring high-quality, scalable data infrastructure in Tesla's fast-paced environment.

Responsibilities

• Design, develop, and maintain scalable data pipelines for efficient data ingestion and transformation
• Optimize Airflow workflows and automate ETL processes to improve reliability, efficiency, and performance
• Develop and maintain database schemas, ensuring efficient storage, retrieval, and query optimization
• Implement data governance best practices, ensuring data quality, validation, and integrity
• Build API integrations to ingest external data sources and provide structured access for analytics teams
• Monitor, troubleshoot, and improve data infrastructure for scalability and fault tolerance
• Collaborate with cross-functional teams to align data solutions with business needs

Requirements

• Degree in Computer Science, Data Engineering, Information System, and evidence of exceptional ability or equivalent experience
• 3-5 years of work experience in Data Engineering, designing, and optimizing ETL pipelines in large-scale environments
• Proficiency in Python and SQL for data processing, automation, and query optimization in production systems
• Hands-on experience with workflow orchestration tools (e.g., Airflow) to automate and scale data pipelines
• Strong understanding of database performance tuning in PostgreSQL or other relational databases, including indexing, partitioning, normalization, and query optimization
• Experience working with containerized infrastructure using Kubernetes and implementing CI/CD automation with tools like Jenkins and GitHub Actions
• Familiarity with API integrations for data ingestion and structured data serving, ensuring scalability and security

Compensation and Benefits
Benefits

Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire:

• Aetna PPO and HSA plans > 2 medical 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 Account) HSA Contribution when enrolled in the High Deductible Aetna 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
• Employee Assistance Program
• Sick and Vacation time (Flex time for salary 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
Expected Compensation

$80,000 - $186,000/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.