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Part Time Nvidia Engineering Jobs in California (NOW HIRING)

Data Engineer

San Diego, CA · On-site

$61K - $141K/yr

Master's degree in Computer Science, Computer Engineering, Mathematics, Data Science, Software ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Master's degree in Computer Science, Computer Engineering, Mathematics, Data Science, Sof tware ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Part Time Nvidia Engineering information

Can you work from home at NVIDIA?

Part Time NVIDIA Engineering roles may offer remote work options depending on the specific position and team requirements. Many engineering jobs at NVIDIA can be performed remotely, especially if they involve software development or design work, but some roles may require on-site presence for collaboration or hardware access. Candidates should review the job listing for remote work policies and requirements.

How much does NVIDIA pay per hour?

NVIDIA engineering roles, including part-time positions, typically pay between $20 and $50 per hour depending on experience, location, and specific job responsibilities. Compensation may also include benefits such as stock options and bonuses for full-time roles, but part-time pay rates are generally lower and vary by region.

How difficult is it to get hired at NVIDIA?

Getting hired for a part-time engineering role at NVIDIA can be competitive, often requiring relevant technical skills, a strong educational background, and experience with tools like CUDA or deep learning frameworks. The application process typically involves multiple interview rounds assessing technical knowledge and problem-solving abilities.

What is the difference between Part Time Nvidia Engineering vs Part Time Nvidia Data Scientist?

AspectPart Time Nvidia EngineeringPart Time Nvidia Data Scientist
Required CredentialsBachelor's in Engineering, Computer Science, or related field; experience with hardware/software developmentBachelor's or Master's in Data Science, Statistics, or related; experience with data analysis and machine learning
Work EnvironmentHardware labs, software development teams, collaborative projectsData analysis teams, research environments, cross-functional collaboration
Employer & Industry UsageTech companies, hardware/software development, AI/ML projectsResearch institutions, tech companies, AI/ML applications

Part Time Nvidia Engineering focuses on hardware and software development, requiring engineering credentials and hands-on technical work. In contrast, Part Time Nvidia Data Scientist emphasizes data analysis and machine learning, requiring expertise in data science. Both roles are common in tech and AI industries but differ in their core skills and work environments.

What are the most commonly searched types of Nvidia Engineering jobs in California? The most popular types of Nvidia Engineering jobs in California are:
What are popular job titles related to Part Time Nvidia Engineering jobs in California? For Part Time Nvidia Engineering jobs in California, the most frequently searched job titles are:
What cities in California are hiring for Part Time Nvidia Engineering jobs? Cities in California with the most Part Time Nvidia Engineering job openings:
Infographic showing various Part Time Nvidia Engineering job openings in California as of June 2026, with employment types broken down into 100% Part Time. Highlights an 100% In-person job distribution.
Data Engineer

$61K - $141K/yr

Full-time, Part-time

Medical, Life, Retirement, PTO

Posted yesterday


Booz Allen Hamilton rating

8.8

Company rating: 8.8 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

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Job description

Job Description
Remote Work:
No
Job Number:
R0235323
Location:
San Diego,CA,US
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Data Engineer
The Opportunity:
Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there's more structured and unstructured data available today than ever before. As a data engineer, you know that organizing data can yield pivotal insights when it's gathered from disparate sources. We need a data professional like you to help our clients find answers in their data to impact important missions-from fraud detection to cancer research to national intelligence.
As a Data Engineer at Booz Allen, you'll use your skills and experience to help build advanced technology solutions and implement data engineering activities on some of the most mission-driven projects in the industry. You'll develop and deploy the pipelines and platforms that organize and make disparate data meaningful.
Here, you'll work with a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment. You'll sharpen your skills in analytical exploration and data examination while you support the assessment, design, development, and maintenance of scalable platforms for your clients.
Work with us to use data for good.
Join us. The world can't wait.
You Have:
  • 2+ years of experience with ETL operations or pipeline development and integration
  • Experience writing software in programming languages, including Python
  • Experience with source control and collaboration software, including GitHub or Atlassian tools
  • Knowledge of relational and non-relational database technologies, including SQL or GraphQL
  • Knowledge of automation and scripting on Linux or Windows operating systems
  • Ability to obtain a Secret clearance
  • Bachelor's degree

Nice If You Have:
  • Experience deploying analytics workloads on a platform as a service (PaaS) and software as a service (SaaS), including AWS EMR, Redshift, SageMaker, Databricks, SQL Data Warehouse, or Machine Learning service
  • Experience with distributed or parallel programming frameworks, including Apache Spark or NVIDIA CUDA
  • Experience with infrastructure as code frameworks and services, including Terraform or CloudFormation
  • Experience developing and presenting complex technical information for technical and non-technical audiences and senior leaders
  • Experience developing and deploying large-scale batch and stream analytics pipelines
  • Experience working with integrated groups comprised of customer success managers, infrastructure engineers, data scientists, and software engineers
  • Experience with DoD information systems
  • Master's degree in Computer Science, Computer Engineering, Mathematics, Data Science, Software Engineering, Electrical Engineering, Physics, or a related field
  • Cloud Development Certification, including AWS Solutions Architect or Azure Certification
  • Information Security Certification, including Security+ or CISSP Certification

Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $61,900.00 to $141,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.
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About Booz Allen Hamilton

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Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914