Data Engineer, DesignX

Описание

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.

Responsibilities

• 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

Requirements

• 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

We offer

• Along with competitive pay, as a full-time Tesla employee, you are eligible for benefits at day 1 of hire
• Medical plans with 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
• Earned Wage Access: Real-time pay access paid daily, subject to eligibility and schedule (applicable for below Sr. Managers levels)
• Expected Compensation: $100,000 - $216,000/annual salary + cash and stock awards + benefits