Sr. Data Engineer, Manufacturing Business Intelligence
Tesla Fremont, CA Full-time 3/17/2026 $144,000 - $216,000 a year
Undergraduate with 2+ Years of Experience
Approval 99.3%•Total filings 1,102•New hires 320•
💎 Strong Sponsor
•FY 2025Job Description
Tesla is looking for a Senior Data Engineer to lead the development and operation of ClickHouse-based analytics infrastructure for global manufacturing data platforms. The role involves designing, deploying, and maintaining large-scale ClickHouse clusters, ensuring high-performance data pipelines, and collaborating with cross-functional teams to enhance manufacturing efficiency and product quality.
Requirements
- Bachelor's degree in Computer Science, Data Engineering, Information Systems, or equivalent experience
- 4+ years in data engineering or data platform engineering
- Strong experience with ClickHouse architecture, administration, performance optimization, and deploying/managing distributed clusters
- Deep expertise in SQL and analytical query optimization
- Experience building data pipelines and ETL frameworks using Python or similar languages
- Proficiency with workflow orchestration tools like Airflow, Prefect, or Luigi
- Familiarity with database monitoring, performance diagnostics, and server maintenance
- Hands-on work with large-scale operational data, including data modeling, partitioning, and columnar database design
- Experience with containerization and distributed infrastructure (e.g., Docker, Kubernetes)
- Strong troubleshooting skills, collaboration with DBAs/infrastructure teams, and passion for reliable, scalable data platforms
Responsibilities
- Design and maintain ClickHouse database infrastructure to support large-scale manufacturing analytics workloads
- Manage ClickHouse cluster setup, configuration, scaling, and high availability architecture
- Monitor database performance, server health, and system utilization to ensure reliability, stability, and optimal query performance
- Perform regular server maintenance, upgrades, and performance tuning to maintain a stable production environment
- Partner with DBA and infrastructure teams to request and provision compute, storage, and networking resources required for scaling ClickHouse clusters
- Develop and maintain data ingestion pipelines and operators for processing manufacturing datasets into ClickHouse
- Build and maintain workflow orchestration pipelines for ClickHouse jobs using Airflow or similar orchestration tools
- Implement data quality validation, monitoring, and alerting frameworks to ensure reliability of analytics data
- Optimize ClickHouse schemas, partitions, indexing strategies, and query performance for high-volume datasets
- Develop internal tools and automation for cluster monitoring, query diagnostics, and operational troubleshooting
Benefits
- 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.
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