The Sr Data Engineer will be responsible for designing, building, and deploying interactive data dashboards for the Energy Warehousing & Logistics team. This role involves managing the full lifecycle of data operations, from querying databases to deploying dashboards on Kubernetes. The dashboards will facilitate real-time decision-making across warehouses by tracking key metrics. The ideal candidate will have a strong background in full-stack development and data engineering.

• 3+ years of work experience in Data Engineering, Software Development, or DevOps
• Full-stack development experience with React, Django, and Streamlit
• Expertise in containerization and orchestration using Docker and 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

• Build interactive dashboards using Streamlit, React, or Next.js to visualize operational metrics from large-scale databases
• Design and implement backend APIs using Python frameworks such as Django, Flask, or FastAPI
• 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

• Employees at Tesla are often offered day-one coverage with multiple medical options (some at $0 paycheck cost), dental/vision, company HSA contributions, a 401(k) match, and equity programs. Most roles also include paid time off and holidays, family-building support, employee assistance, commuter and childcare benefits, and access to discounts and wellness programs.