> Markdown version of [/jobs/ext/2735556-data-engineer-energy-warehousing-logistics](https://www.wearedevelopers.com/jobs/ext/2735556-data-engineer-energy-warehousing-logistics). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer, Energy Warehousing & Logistics - **Company:** Tesla, Inc. - **Location:** Fremont, CA, United States - **Experience:** Expert - **Salary:** $120,000.0 - $216,000.0 - **Contract:** Permanent contract - **Skills:** JavaScript (Programming Language), Application Programming Interfaces (APIs), Cyber Security, Databases, Continuous Delivery, Continuous Integration, Information Engineering, Data Security, Database Connection, DevOps, Django Web Framework, Design of User Interfaces, Human-Computer Interaction, Python (Programming Language), Microsoft SQL Server, MySQL, Operational Databases, Query Optimization, Next.js, Software Engineering, SQL Databases, Web Application Frameworks, Data Processing, Scripting, Data Ingestion, ReactJS, Flask (Web Framework), Fastapi, Containerization, Kubernetes, Front End Software Development, Vertica, Streamlit Framework, Api Management, Docker, Web Api - **Published:** September 5, 2026 - **Apply:** https://www.careerbuilder.com/job-details/sr-data-engineer-energy-warehousing-logistics-fremont-ca--2a7d9175-13fa-4029-bbb9-b179b6277ea6 ## About the Role * 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 * 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, Accidental Death and Dismemberment (AD&D), Application Programming Interface (API), Automation, Childcare, Compensation and Benefits, Continuous Deployment/Delivery, Continuous Integration, Data Processing, DevOps, Disability Insurance, Django, Docker, Employee Assistance Plan, Energy Engineering, Flask, Health Plan, Information/Data Security (InfoSec), JavaScript, Logistics, Metrics, Microsoft SQL Server, MySQL, Orthodontics, Payroll Tax, Python Programming/Scripting Language, Query Optimization, React.js, Reporting Dashboards, SQL (Structured Query Language), Software Development, Stock Purchase Plans, Structured Data, User Interface/Experience (UI/UX), Vision Plan, Warehousing ## 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. ## Related Videos - [MySQL Protocol Features You Should Be Aware Of](https://www.wearedevelopers.com/videos/100267-mysql-protocol-features-you-should-be-aware-of) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [DevOps Maturity Check – a way to balance autonomy and alignment](https://www.wearedevelopers.com/videos/58-devops-maturity-check-a-way-to-balance-autonomy-and-alignment) - [Docker build without Docker](https://www.wearedevelopers.com/videos/100114-docker-build-without-docker) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Dev Digest 139 - Soft and hard queries](https://www.wearedevelopers.com/magazine/487-dev-digest-139-soft-and-hard-queries) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [Dev Digest 132 - Binging WADFlix?](https://www.wearedevelopers.com/magazine/473-dev-digest-132-binging-wadflix) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story)