Sr. Distributed Systems Engineer, Energy Service Engineering

We'reseekinga highly skilled and collaborative Seniordistributed systems engineerto architect and implement acutting-edgedata platform while leading the development of data pipelines, data lake, and reporting infrastructure to support the growth of our energy data platform including Industrial,Residential, Supercharger, and Solar products.You'lldesign large-scale data systems that integrate multiple sources including deployed fleets, internal applications, and data warehouses while developing robust monitoring and alerting infrastructure.

Your role involves building efficient batch and streaming applications that power business intelligence and support ML engineers with feature engineering infrastructure.You'llcreate analytics capabilities to track energy products throughout their lifecycle, from creation to deployment, usage, maintenance, and replacement.

Working cross-functionally with teams across our energy divisions,you'llleverageyourexpertisein data engineering to build scalable solutions that enable rapid development and deployment of data products and drive informed decision-making.

• Design, develop, andoperatedistributed data systems that process terabyte- to petabyte-scale batch and streaming workloads across Tesla's global energy fleet

• Build and optimize high-throughput pipelines on Apache Spark (PySpark, Spark SQL, Spark Streaming) and Kafka, with strong correctness and recovery guarantees - Architect the data lake on modern open table formats (Delta Lake, Apache Iceberg, or Apache Hudi) and design the partitioning, compaction, and schema-evolution strategies that make it performant at scale

• Develop aggregate, summary, and feature tables that serve engineering teams across multiple product lines and geographies

• Characterize complex problems around scalability, reliability, performance, and cost in production data systems, and drive them to resolution - Implement andmaintainCI/CD, monitoring, and alerting for data applications, treating pipelines as production services-

• Provide technical leadership, foster collaboration with ML engineers, analytics teams, and product engineering, and drive initiatives end-to-end

• Build self-service tooling that lets cross-functional teams discover, consume, and understand data faster

• Research and incorporate emerging data infrastructure, tools, and technologies into the platform

• Strong data engineering background withexpertisein at least two programming languages (Python, Scala, Java, or Rust)

• Several years of industry experience designing, building, andoperatinglarge-scale distributed systems in production

• 3+ years of professional experience in data engineering, analytics engineering, or backend software development

• Expert-level experience with Apache Spark (PySpark, Spark SQL, Spark Streaming) at terabyte-scale or larger

• Hands-on experience with modern data lake technologies (Delta Lake, Apache Iceberg, orApache Hudi)

• Excellent understanding of database internals, query optimization, and SQL performance tuning

• Experience with containerization and orchestration (Docker, Kubernetes)andStrong CS fundamentals including data structures, algorithms, and distributed systems

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

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.