Data Engineer, Supply Chain

What To Expect
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.

What You'll Do

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

What You'll Bring

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

Benefits
Compensation and Benefits
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

Expected Compensation

$120,000 - $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