Sr. Data Engineer

Description: As a Sr. Data Engineer in the global EHS&S data team, you'll build and scale solutions to directly support Tesla's Environmental, Health, Safety, and Security (EHS&S) goals. This includes end-to-end ownership of the data pipelines that feed one of the most viewed dashboards in Tesla, creating the data models and architecture for internal LLMs that support EHS&S specialists with classifying injury events and generating actions to prevent recurrences, and collaborating cross-functionally to power internal and external reporting (e.g., the Tesla Impact Report).

A successful candidate is a hands-on engineer who thrives on solving complex problems, leading end-to-end projects with competing priorities, and is a team player with strong communication skills.

Responsibilities

Collaborate with stakeholders to frame and solve business challenges, identify key opportunities, and take ideas from design to production Ensure safe, secure, compliant, documented, and trusted data by implementing high standards Develop, manage, and optimize data pipelines, warehousing, orchestration, and overall end-to-end infrastructure Create and refine dimensional data models that enable powerful reporting and analytics Explore new tools, frameworks, and technologies to keep our data platform cutting-edge Review code, mentor teammates, and help raise the bar on engineering/AI best practices across the team Requirements: 3+ years of professional experience in data engineering, data analytics, data modelling, and data management Bachelor's Degree in Computer Science, Mathematics, Data Science, or equivalent experience Open-minded, collaborative, and team-oriented attitude with the ability to think outside the box Ability to effectively communicate concepts and strategies to technical and non-technical audiences Strong organizational, planning, and project management skills to work independently and focused Knowledgeable and comfortable in Git, Python, SQL and dbt, APIs, Data Orchestration (i.e., Airflow), Docker/Kubernetes, CI/CD, Data Quality (e.g., ), and Modern Data Warehousing; experience with Power BI is a plus Eagerness to learn about novel ways to make impact in the environmental, health, safety, and security domain; existing knowledge is a plus Compensation & Benefits:

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 $100,000 - $180,000/annual salary + cash and stock awards + benefitsPay 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.