Sr. Data Engineer, Energy, Sales, & Services

We're seeking a technically exceptional, business-driven data engineer who thrives at the intersection of data innovation and clean energy impact. If you're passionate about using data to accelerate the global transition to renewable energy particularly in solar and energy storage, this is your opportunity to build the intelligent infrastructure that powers a sustainable future.

As a Senior Data Engineer, you'll bridge cutting-edge technical infrastructure with strategic solar and storage energy initiatives. This role transcends traditional engineering-it's about transforming data into a strategic asset that optimizes energy generation, storage, and distribution, enhances grid reliability, and maximizes sustainability impact.

You'll design and implement scalable, high-performance data pipelines to process real-time and historical data, manage complex datasets, and collaborate closely with business stakeholders, energy analysts, and operations teams. Your work will enable automation, innovation, and data-informed decisions across the energy business positioning you as a key contributor in our journey toward a smarter, more sustainable energy future.

• Design and implement automated data solutions that empower teams across sales, operations, fulfillment, inventory, fleet, service, finance & accounting
• Take ownership of ideas from design to production, working hand-in-hand with stakeholders and cross-functional teams
• Develop, manage, and optimize high-performance ETL pipelines that transform complex datasets into clean, reliable, and accessible information
• Create and refine dimensional data models (e.g., star schema) that enable powerful reporting and analytics
• Write and optimize scripts, processes, and jobs to streamline data operations and eliminate bottlenecks
• Explore new tools, frameworks, and real-time processing technologies to keep our data platform cutting-edge
• Champion best practices in coding, documentation, and technical quality
• Ensure high data quality, accuracy, and availability by implementing validation, monitoring, and data governance processes

• Deep SQL expertise and mastery of relational databases (SQL Server, MySQL, Vertica, etc.).
• Expertise in interacting with APIs
• Ability to use AI tools as part of building solutions
• Hands-on experience in data warehousing and dimensional modeling for large-scale systems
• Strong programming skills in Python
• Familiarity with distributed systems (Kafka, Spark, Iceberg) and NoSQL/document databases (MongoDB)
• Knowledge of ETL orchestration tools (Airflow, Luigi, etc.) and visualization platforms (Power BI, Tableau, Looker, SSRS)
• Excellent communication skills to translate complex data solutions into business impact
• Background in energy solar & storage is a plus-but curiosity and a passion for solving real-world problems matter most

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

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.