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# Sr. Data Engineer, Energy Warehousing & Logistics

- **Company:** Tesla Motors
- **Location:** Fremont, CA, United States
- **Experience:** Expert
- **Salary:** $120,000.0 - $216,000.0
- **Contract:** Permanent contract
- **Skills:** Databases, Continuous Integration, Information Engineering, Database Connection, DevOps, Django Web Framework, Python (Programming Language), Microsoft SQL Server, MySQL, Operational Databases, Query Optimization, Next.js, Software Engineering, SQL Databases, Web Application Frameworks, Data Processing, Data Ingestion, ReactJS, Flask (Web Framework), Fastapi, Containerization, Kubernetes, Front End Software Development, Vertica, Streamlit Framework, Api Management, Docker, Web Api
- **Published:** July 11, 2026
- **Apply:** https://diversityjobs.com/main/sendform/8/8/28176/1/17555593?backUrl=%2Fcareer%2F17555593%2FSr-Data-Engineer-Energy-Warehousing-Logistics-California-Fremont

## About the Role

* 3+ years of work experience in Data Engineering, Software Development, or DevOps
 * Full-stack development experience (React, Django, Streamlit)
 * Expertise in containerization and orchestration (Docker, Kubernetes) for CI/CD
 * Proficiency in Python and SQL for data processing, automation, and query optimization
 * Proficiency in API integrations for data ingestion and structured data serving

## Description

We are looking for a skilled Sr Data Engineer (full stack) to design, build, and deploy data dashboards for Energy Warehousing & Logistics team. You will own the full lifecycle from querying operational databases to deploying interactive dashboards on Kubernetes. Our dashboards power real-time decision-making across all warehouses, tracking metrics like productivity, inventory quality, and throughput.
What You'll Do

 * Build interactive dashboards using Streamlit, React, or Next.js that visualize operational metrics from large-scale databases (MySQL, SQL Server, Vertica)
 * Design and implement backend APIs using Python frameworks (Django, Flask, or FastAPI) to serve data to frontend applications
 * Write optimized SQL queries with CTEs, aggregations, and joins across multi-million row tables
 * Containerize applications using Docker and set up CI/CD to deploy on Kubernetes clusters
 * Manage secrets and credentials using Vault, Kubernetes Secrets, and Fuze for secure database connectivity


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