Data Engineer, Residential Energy Operations

Tesla Motors, Inc.
100,000 - 180,000 USD
paid holidays, flex time, 401(k)
United States, California, Palo Alto
Jan 15, 2026
What to Expect Tesla Energy's missionis to enable sustainable abundance through the large-scale deployment of clean energy solutions, including solar generation, battery storage, and innovative energy programs. By expanding access to reliable, affordable electricity, we aim to create long-term value for communities and the planet. Our team's mission is to empower informed decision making by delivering trusted, high-quality data products that turn evidence into action. We partner closely with Operations and Product teams to solve high-impact business problems through analytics, machine learning, and scalable data engineering products. This is a mid-level, full-stack Data Engineeringrole supporting multiple Tesla Residential Energy product lines, including Powerwall, Solar Roof, Retrofit Solar, and Wall Connector. You will design, build, and deploy production-grade datasolutions, working across functional teams to deliver actionable insights and scalable data products. The successful candidate is highly technical, intellectually curious, well-organized, and able to clearly communicate complextechnicalconcepts to non-technical stakeholders. What You'll Do Acquire data from primary/secondary data sources and maintain databases and data systems that empower operational and exploratory analysis Automate analyses and author pipelines using SQL and Python-based ETL/ELT frameworks Drive improvement to underlying data systems by working with key cross-functional stakeholders Perform data quality validations to ensure data integrity meets business requirements Collaborate cross-functionally with a team that blends software engineering, data science, analytics, and product to ensure solutions align with the system design, operational needs, and end-user impact What You'll Bring Extensive experience writing software with Python Experience with end-to-end deployments of data pipelines consumed by production software applications Experience with workflow management platforms (Airflow) Experience with multiple data architecture paradigms (SQL, NoSQL, Kafka, Spark) Knowledge of various data communication protocols (REST API,Websockets) Experience with command line operations (bash,zsh) Comfortable with code testing (unittest,pytest) Familiarity with continuous integration pipelines (Docker, Jenkins, Kubernetes) preferred Degree in Computer Science, Engineering, Statistics, Mathematics, Physics, or a related quantitative field, or equivalent experience 2-3 years of relevant experience as a data engineer in a fast-paced, dynamic environment 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: 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 + 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.