Data Jobs in Sparks, NV

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16d ago

Sr. Data Engineer, Cell Quality & Field Reliability

Tesla Sparks, NV

Sparks, NV

16d ago

Full time Senior Data Engineer Data Integration

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Job Description

Benefits

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

Location: Sparks, NV (onsite)

This role sits on Tesla's Cell Quality and Field Reliability team, focusing on designing and maintaining scalable data infrastructure, ETL pipelines, and automation tools to support cell testing, failure analysis, and data integrity.

Responsibilities

Own the design, development, and optimization of scalable data infrastructure and ETL pipelines to process large-scale analytical data efficiently
Build and maintain internal applications for data entry, analysis, and reporting, prioritizing user experience, performance, and adaptability
Design and implement data validation, auditing, and state-tracking systems to ensure accuracy and reliability in cell testing processes
Build CI/CD workflows, intelligent indexing systems, and automation tools that increase testing throughput and data accessibility
Partner closely with technicians and engineers to translate complex testing requirements into intuitive, scalable technical solutions, and provide continuous user support

Requirements

Bachelor's Degree in Computer Science, Data Engineering, relevant STEM disciplines, or equivalent expereince
Proven experience designing and building tools with Python and SQL in large scale/production environments
Strong proficiency in React, TypeScript, and modern JavaScript for building efficient and responsive user-facing tools
Experience with Docker/Kubernetes for containerization and orchestration
Exceptional organizational skills and outstanding written and verbal communication abilities, able to bridge technical and non-technical audiences to resolve issues and improve user experience
Strong ownership mindset, meticulous attention to detail, and a genuine desire to deeply understand systems and processes

Technologies

Python
SQL
React
TypeScript
JavaScript
Docker
Kubernetes

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