Sr. Analytics Engineer

Tesla

Fremont, California Posted October 30, 2026

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On-site Full-time Senior
Job Description

Description:
We are seeking a skilled and collaborative Data Engineer to join our team. In this role, you will lead the development of data pipelines, data warehousing, and reporting infrastructure to support the growth of field Quality and Remanufacturing team.
As a key member of our team, you will design, build, and maintain large-scale data systems to combine data from various data sources, including manufacturing, internal applications, and other data warehouses. Your work will contribute to our understanding of key business performance indicators, informing data-driven decisions to optimize our strategies and drive decision making for all our products. You will work closely with cross-functional teams, including service operations, reman operations and quality engineering to maximize quality of our products.

Responsibilities:
Design and implement automated data solutions to support various business teams such as Manufacturing, Field Quality and Remanufacturing

Design and implement robust data storage and management systems, leveraging relational databases, NoSQL databases, and graph databases to support diverse data needs

Work effectively with engineers and conducting end-to-end analyses, from data requirement gathering, to data processing and modeling

Analyze service and vehicle data to extract actionable insights, identify field failure trends, and drive product improvements

Write, maintain and optimize scripts, processes and jobs that will be used by analytics and reporting solutions

Architect and implement data pipelines and automation systems to streamline data retrieval, processing, analysis, and visualization, ensuring efficient handling of batch and real time data

Design and refine data models by following best practices and techniques using most effective approaches for reporting and analytics such as star schema

Identify slow-running processes and bottlenecks, troubleshoot problems, research and resolve issues

Stay up to date with latest trends in data engineering, experiment with new tools, services, technologies and real-time processing frameworks

Set high technical bar not just for yourself but for entire team, leading by example in coding standards, documentation and best practices

Requirements:
5+ years of experience with a focusing on providing automations and data solutions

Deep SQL expertise and very good understanding of relational databases (SQL Server, MySQL, Oracle, Vertica, etc.)

Experience in data warehousing, including data modeling (dimensional/star/snowflake), large-scale data processing and enterprise warehouse design and maintenance

Solid understanding of large language models (LLMs) and their application in enterprise solutions

Python proficiency with experience improving, refactoring, and building efficient data pipelines and API

Ability to design and maintain CI/CD pipelines, ensuring reliable and scalable deployments

Proficiency with Docker, Git, and modern engineering best practices

Experience delivering insights with data visualization and reporting tools such as Tableau, Power BI, Looker, etc.

Familiarity with distributed systems (Kafka, Spark, Iceberg) and NoSQL/document databases (MongoDB)

Expertise in scalable ETL and data pipelines and tools such as (SSIS, Informatica, Airflow, Luigi or similar)

Compensation & Benefits:
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)
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
$120,000 - $216,000/annual salary + cash and stock awards + benefitsPay 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.

Required Skills
collaboration data engineering manufacturing decision making cross-functional collaboration troubleshooting SQL MS SQL Server MySQL Oracle data architecture Snowflake LLM Python CI/CD Docker
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