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What to Expect
As a Data Engineer, you will build and scale solutions to directly support Tesla's Environmental, Health, Safety, and Security (EHS&S) goals. You will collaborate closely with EHS&S specialists, operations teams, IT applications, and business intelligence teams to deliver accurate and reliable data to power analytics (across global business units), reporting (internal and external), and machine learning (deep insights to make real impact).
Data is deeply embedded in the culture at Tesla. We rely on data - lots of it - to improve our products, to optimize results, and to proactively detect opportunities for advancement. 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.
What You'll Do
- Collaborate with stakeholders to frame and solve business challenges, identify key opportunities, and ensure seamless integration and adoption of EHS systems, processes, and metrics
- Ensure safe, secure, compliant, documented, and trusted data by implementing high standards
- Develop, manage, and optimize data pipelines, warehousing, orchestration, and overall infrastructure end-to-end
- Create and refine dimensional data models that enable powerful reporting and analytics
- Capable of proposing key recommendations to influence business leaders through strong reporting and analytics, presentation skills, and verbal and written communication
- Explore new tools, frameworks, and technologies to keep our data platform cutting-edge
What You'll Bring
- 3+ years of experiencein data engineering, data analytics, data modelling, and data management
- Degree in Computer Science, Mathematics, Data Engineering, or equivalent experience
- Open-minded, collaborative, and team-oriented attitude with the ability to think outside the box for solutions to complex challenges
- 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 in Python, SQL, APIs, Data Orchestration, CI/CD, Data Operations, and Modern Data Warehousing; experience with Airflow, dbt, Kafka, and 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 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
$108,000 - $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.
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