Data Engineer, DesignX

As a Data Engineer on the Infrastructure DesignX team, you will play a critical role in building and scaling the data foundation that powers the Machine Learning Platform optimizing and automating infrastructure planning and construction across our national buildout. You will focus on building and scaling robust data pipelines and models that source, transform, and serve large-scale datasets enriched with real-world field context. This data powers the neural networks, forecasting, and optimization our engineers rely on. Delivering trustworthy, high-resolution data at scale and turning it into predictions and insights in the shortest amount of time is central to our mission.

The Machine Learning Platform empowers our engineers to design, build, and manage infrastructure across the nation faster and more efficiently. As infrastructure buildouts, power demands, and construction costs grow more than ever, we're looking for an exceptional data engineer to drive scalability improvements, new capabilities, and the expansion of the platform's data and modeling infrastructure across sites and regions.

• Design, build, and maintain end-to-end data pipelines that unify data from many disparate sources into a single, trusted operational data model
• Develop and operate high-volume, real-time and batch data platforms for high-resolution time-series data using Python, modern orchestration, and streaming with scalability and low latency
• Architect robust databases and storage for infrastructure, equipment, power, and energy data, and build the reconciliation, validation, and monitoring logic that ensures data quality, accuracy, and freshness across the platform
• Build, train, and deploy time-series forecasting, optimization, and anomaly-detection models for power demand, energy consumption, cost, and capacity - turning operational data into predictions and optimization strategies that drive real decisions
• Design and build backend APIs (e.g., FastAPI, Flask, Django) that serve clean, structured data and model outputs to dashboards, applications, and other tools across the platform
• Deliver world-class interactive dashboards and tooling that turn complex power, energy, and cost data into actionable insights for design engineers, facilities, and leadership
• Scale data collection and pipelines across multiple sites and regions including automated sensors sync and scheduled computations that feed real-time forecasting and optimization at very large scale
• Partner cross-functionally with software and ML engineers to translate operational requirements into data architecture and modeling decisions - while defining and improving engineering standards to keep everything production-grade

• Degree in computer science or equivalent, and 3+ years of professional experience as a data engineer or backend engineer building large-scale data platforms
• Expert in Python and SQL building performant queries, data models, and pipelines at scale (e.g., PostgreSQL, MySQL, SQL Server, Data Lake)
• Experience across the full data lifecycle - sourcing, ingestion, transformation, analytics, and visualization - with the ability to own projects end-to-end
• Hands-on with data processing and orchestration frameworks (e.g., Spark, Airflow, dbt, Dagster) in production at scale
• Production experience with real-time / distributed streaming systems (e.g., Kafka, Spark Streaming, Flink) handling high-volume, high-resolution time-series data
• Proven experience building and deploying time-series forecasting models in production on high-resolution operational data
• Hands-on experience formulating and solving mathematical optimization problems -mixed-integer linear programming and convex/non-convex optimization (e.g., using PuLP, Pyomo, Gurobi, CVXPY)
• Experience integrating and reconciling data across multiple source systems with conflicting schemas or update cadences, and building monitoring for data quality, accuracy, and freshness
• Proficiency with data visualization tools (e.g., D3.js, Tableau, Streamlit, React) to turn complex data into clear, actionable insights
• Excellent interpersonal, communication, and collaboration skills

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.