Sr. Data Engineer, Energy, Sales, & Services

Senior Data Engineer role at Tesla in Fremont, CA (onsite) focused on building scalable data pipelines to turn data into a strategic asset for solar and energy storage initiatives and to optimize generation, storage, distribution, and grid reliability.

Responsibilities

• Design and implement automated data solutions that empower teams across sales, operations, fulfillment, inventory, fleet, service, finance & accounting
• Own ideas from design through production, collaborating with stakeholders and cross-functional teams
• Develop, manage, and optimize high-performance ETL pipelines transforming complex datasets into clean, reliable, and accessible information
• Create and refine dimensional data models, including star schemas, to enable robust reporting and analytics
• Write and optimize scripts, processes, and jobs to streamline data operations and remove bottlenecks
• Explore new tools, frameworks, and real-time processing technologies to keep the data platform at the cutting edge
• Promote best practices in coding, documentation, and technical quality
• Ensure data quality, accuracy, and availability by implementing validation, monitoring, and governance processes

Requirements

• Deep SQL expertise with mastery of relational databases (SQL Server, MySQL, Vertica, etc.)
• Experience interacting with APIs
• Ability to incorporate AI tools as part of solution development
• Hands-on experience with 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 and storage is a plus, but curiosity and real-world problem solving matter most

Technologies

• SQL, SQL Server, MySQL, Vertica
• APIs
• Python
• Kafka, Spark, Iceberg
• MongoDB
• Airflow, Luigi
• Power BI, Tableau, Looker, SSRS

Benefits

• Medical plans with options and zero employee premium deduction
• Family-building, fertility, adoption, and surrogacy benefits
• Dental and vision plans with zero paycheck contributions
• Company-paid Health Savings Account (HSA) contributions when enrolled in a high-deductible medical plan
• Healthcare and Dependent Care Flexible Spending Accounts
• 401(k) with employer match, Employee Stock Purchase Plans, and other financial benefits
• Company-paid Basic Life and AD&D insurance
• Short-term and long-term disability insurance
• Employee Assistance Program
• Sick and vacation time, flexible scheduling for salaried staff, paid holidays
• Back-up childcare and parental support resources
• Voluntary benefits including critical illness, hospital indemnity, accident, legal services, and pet insurance
• Weight loss and tobacco cessation programs
• Tesla Babies program
• Commuter benefits and employee discounts

What to Expect

This role requires a technically exceptional, business‑minded data engineer who thrives where data innovation meets clean energy impact. You will transform data into strategic assets to optimize solar generation, energy storage, and grid reliability, enabling data‑driven decisions across the energy business.

Compensation

Base salary range: USD 120,000 to 216,000 per year, plus cash and stock awards, and benefits. Total compensation varies by location, experience, and skills; additional plan elements may apply.