Sr. Data Engineer

Tesla Motors
Fremont, United States of America
1 month ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 216K

Job location

Fremont, United States of America

Tech stack

Query Performance
Airflow
Information Systems
Databases
Information Engineering
ETL
Database Design
Python
Operational Data Store
Performance Tuning
Query Optimization
Server Administration
SQL Databases
System Availability
Database Performance
Containerization
Kubernetes
Information Technology
Luigi
Data Management
Database Monitoring
Data Pipelines
Docker

Job description

Tesla is seeking a Senior Data Engineer to join the Manufacturing Business Intelligence (Dataviz) team and lead the development and operation of our ClickHouse-based analytics infrastructure supporting global manufacturing data platforms. In this role, you will be responsible for designing, deploying, and maintaining large-scale ClickHouse clusters that power real-time and high-volume analytics across Tesla's production systems. You will work closely with DBAs, platform engineers, and cross-functional teams to build reliable, scalable, and high-performance data pipelines and services. This role involves not only data engineering but also database infrastructure ownership, including performance tuning, monitoring, and operational maintenance of ClickHouse servers. Your work will enable high-quality reporting, real-time operational insights, and advanced analytics that directly improve manufacturing eUiciency and product quality. Expect to work in a fast-paced, highly collaborative environment where your contributions will directly support Tesla's mission to accelerate the world's transition to sustainable energy. What You'll Do

  • 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

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

Benefits & conditions

Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire:

  • Medical plans > 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

Expected Compensation $144,000 - $216,000/annual salary + cash and stock awards + benefits

Pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment. Tesla is an Equal Opportunity / Affirmative Action employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state or local laws.

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