Engineering Manager, Data Platforms & Fleet Analytics

Tesla Inc

Palo Alto, CA

JOB DETAILS
SALARY
$208,000–$312,000 Per Year
SKILLS
Accidental Death and Dismemberment (AD&D), Algorithms, Amazon Simple Storage Service (S3), Amazon Web Services (AWS), Animal Care, Application Programming Interface (API), Artificial Intelligence (AI), Cloud Computing, Compensation and Benefits, Computer Firmware, Cross-Functional, Customer Experience, Data Analysis, Data Management, Data Science, Database Extract Transform and Load (ETL), Ecosystems, Employee Benefits, Engineering, Engineering Management, Finance, Hardware Design, Health Plan, Healthcare, Hospital, Insurance, Internet Application, Internet of Things, Large-Scale Systems, Leadership, Legal, Network Operations Center, Orthodontics, Payroll Tax, Product Design, Product Development, Product Safety, Reporting Dashboards, Software Engineering, Stock Purchase Plans, Systems Engineering, Systems Reliability, Team Lead/Manager, Technical Leadership, Technical Strategy, Use Cases, Vehicle Fleets, Vision Plan, Weight Management
LOCATION
Palo Alto, CA
POSTED
30+ days ago

At Tesla, data isnt just a byproduct - its the engine of innovation. From Autopilot and vehicle performance to energy grid optimization, Supercharger reliability, and Tesla Insurance, every product generates massive streams of real-world data. The Data Platforms & Analytics team is at the heart of this ecosystem - building the systems, tools, and insights that enable engineers across the company to understand, improve, and evolve Teslas products at scale.

Youll lead a dual-track team that owns both the core data infrastructure, platform pipelines, storage, query engines, and the data productization layer, applications, dashboards, self-service tools, analytics frameworks. Youll drive the evolution of a unified data stack that spans from raw IoT data ingestion, vehicles, Superchargers, energy systems to actionable insights used by firmware engineers, product designers, and AI researchers. Your work will directly impact product quality, safety, efficiency, and customer experience - across every Tesla product.

This is not just a management role - its a strategic leadership position in Teslas data ecosystem. Youll operate at the intersection of systems engineering, data science, and product development, ensuring that every engineer, regardless of discipline, can access the right data in the right way at the right time. Youll directly enable breakthroughs in predictive maintenance, energy optimization, safety improvements, and product design.

Lead and scale a high-performing cross-functional team of data engineers, platform engineers, and analytics developers.

Define and execute the long-term technical strategy for Teslas end-to-end data platform - from ingestion and ETL, Kafka streaming to storage, S3, Parquet, Iceberg, query, Trino, Spark, and application layer, React, Superset, Jupyter, Airflow.

Own the self-service data experience - building tools, frameworks, and APIs that empower hundreds of engineers across disciplines to analyze petabytes of fleet data without dependency on central teams.

Champion first-principles thinking in platform design, eliminate complexity, automate the mundane, and build systems that are reliable, efficient, and extensible.

Partner with product, firmware, and hardware teams to define data needs, enable real-time diagnostics, and drive data-informed improvements in vehicle behavior, control algorithms, and system reliability.

Drive platform reliability, scalability, and cost-efficiency across AWS and multi-datacenter environments - with a focus on zero-downtime data pipelines and sub-second query latency for critical use cases.

Requirements

8 years of software engineering experience with 4 years in technical leadership, managing teams, building large-scale data systems.

Proven experience leading teams that build both infrastructure and data products - from backend systems to full-stack web applications.

Expertise in data technologies such as Kafka, Spark, Trino, Presto, Parquet, Hudi, Iceberg, Airflow, Docker, Kubernetes.

Proficiency in Python, SQL, Scala, Java, or Go.

Experience with Cloud and On-Prem Infrastructure.

Demonstrated ability to balance technical depth with strategic vision and to communicate complex systems to engineers and non-technical stakeholders alike.

A track record of delivering high-impact, scalable applications.

Benefits

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) 401k 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

$208,000 - $312,000 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.

About the Company

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Tesla Inc