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Internship Data Validation Jobs in California (NOW HIRING)

About Marvell Marvell's semiconductor solutions are the essential building blocks of the data ... every stage - from internship to retirement and through life's most important moments. Our ...

Accountant - Operations

Los Angeles, CA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Validate data across the general ledger, bank platforms, subledgers, source systems, reconciliation ... relevant internships may be considered. * Working knowledge of U.S. GAAP and core accounting ...

Accountant - Operations

Los Angeles, CA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Validate data across the general ledger, bank platforms, subledgers, source systems, reconciliation ... relevant internships may be considered. * Working knowledge of U.S. GAAP and core accounting ...

Summer Internships at SB Energy! Are you looking for an internship to jumpstart your career? If so ... Coordinate with cross-functional teams across the company for data validation Qualifications ...

Showing results 41-60

Internship Data Validation information

What is an internship data validation?

An Internship Data Validation role involves assisting organizations in ensuring the accuracy and integrity of their data. Interns in this position typically verify data sets, identify inconsistencies, and help correct errors by following established validation processes. They may use various software tools to conduct checks and collaborate with other teams to maintain data quality. This role is ideal for those looking to gain experience in data management and analytics.

What are some common challenges faced during a data validation internship, and how can they be overcome?

A Data Validation internship often involves dealing with large datasets that may contain inconsistencies, missing values, or errors. One common challenge is ensuring data accuracy while working under tight deadlines, which requires strong attention to detail and effective time management. Interns may also need to learn new validation tools or programming languages quickly. Collaborating closely with data analysts and IT teams can help interns understand best practices and find solutions to data issues. Seeking feedback and asking questions early on can also accelerate the learning process and improve data validation outcomes.

What is the difference between Internship Data Validation vs Data Analyst?

AspectInternship Data ValidationData Analyst
Required CredentialsTypically pursuing or recent graduate, basic technical skillsBachelor's degree in related field, some certifications
Work EnvironmentInternship setting, supervised, entry-level tasksFull-time, professional environment, analytical responsibilities
Employer & Industry UsageInternship programs in tech, finance, healthcareCompanies across industries, data-driven roles
Comparison Search IntentUnderstanding entry-level data validation rolesLearning about data analysis careers

Internship Data Validation focuses on entry-level tasks like verifying data accuracy under supervision, often as part of an internship program. Data Analysts perform comprehensive data analysis, interpret trends, and support decision-making. While both roles involve working with data, internships are training positions, whereas Data Analysts are full-time professionals with broader responsibilities.

What are the key skills and qualifications needed to thrive as an internship data validation specialist, and why are they important?

To excel as an Internship Data Validation specialist, you need strong analytical skills, attention to detail, and a foundational understanding of data management, often supported by coursework in statistics or computer science. Familiarity with spreadsheet software (like Excel), database management systems, and data validation tools is usually required. Effective communication, problem-solving abilities, and a proactive attitude are standout soft skills for this role. These skills ensure that data is accurate, reliable, and actionable, which is vital for informed business decision-making.

What are the most commonly searched types of Data Validation jobs in California?

The most popular types of Data Validation jobs in California are:

What cities in California are hiring for Internship Data Validation jobs?

Cities in California with the most Internship Data Validation job openings:

Infographic showing various Internship Data Validation job openings in California as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 2% Temporary, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Sr. Staff Validation Engineer

Marvell

Santa Clara, CA • On-site

Full-time

Life, Retirement

Re-posted 4 days ago


Job description

About Marvell

Marvell's semiconductor solutions are the essential building blocks of the data infrastructure that connects our world. Across enterprise, cloud and AI, and carrier architectures, our innovative technology is enabling new possibilities.

At Marvell, you can affect the arc of individual lives, lift the trajectory of entire industries, and fuel the transformative potential of tomorrow. For those looking to make their mark on purposeful and enduring innovation, above and beyond fleeting trends, Marvell is a place to thrive, learn, and lead.

Your Team, Your Impact

CAI March Req Load

What You Can Expect

  • Execute silicon bring-up and validation test plans for ASIC/SoC products with CXL 3.x, HBM, DDR, PCIe, and high-speed SerDes interfaces.
  • Set up and maintain lab test environments, including boards, power supplies, clocks, resets, and cabling, to ensure stable and repeatable measurements.
  • Operate lab equipment such as oscilloscopes, logic analyzers, protocol analyzers (PCIe/CXL), pattern generators, BERTs, power supplies, and environmental chambers.
  • Develop and use scripts (Python, TCL, shell, MATLAB or similar) for lab automation and data collection/analysis.
  • Run experiments to characterize link and memory behavior (e.g., throughput, latency, BER, margins, power) and summarize results.
  • Assist in debugging issues across silicon, firmware, board, and test setup; capture logs, traces, and measurement data for senior engineers.
  • Document test procedures, lab setups, and results; provide clear, concise updates to the validation lead and cross-functional teams.
  • Contribute feedback to improve test plans, lab infrastructure, and validation processes.

What We're Looking For

  • Bachelor's degree in Electrical Engineering, Computer Engineering, or related field (or equivalent experience).
  • 4+ years of experience in silicon or system validation, hardware test, or related lab-based roles.
  • Working knowledge of high-speed interfaces and memory subsystems (e.g., PCIe, CXL, DDR, HBM, SerDes concepts).
  • Hands-on experience with lab instruments (oscilloscope, logic analyzer, protocol analyzer, power supplies, etc.).
  • Experience with at least one scripting language used in lab environments (e.g., Python, TCL, shell).
  • Strong problem-solving skills and attention to detail in executing tests and recording results.
  • Preferred Qualifications
  • Experience with validation or test of high-speed digital interfaces (PCIe, CXL, DDR, HBM or SerDes-based links).
  • Exposure to first silicon bring-up or early hardware prototyping.
  • Familiarity with version control and issue tracking tools used in engineering

Expected Base Pay Range (USD)

127,630 - 191,200, $ per annum

The successful candidate's starting base pay will be determined based on job-related skills, experience, qualifications, work location and market conditions. The expected base pay range for this role may be modified based on market conditions.

Additional Compensation and Benefit Elements

Marvell is committed to providing exceptional, comprehensive benefits that support our employees at every stage - from internship to retirement and through life's most important moments. Our offerings are built around four key pillars: financial well-being, family support, mental and physical health, and recognition. Highlights include an employee stock purchase plan with a 2-year look back, family support programs to help balance work and home life, robust mental health resources to prioritize emotional well-being, and a recognition and service awards to celebrate contributions and milestones. We look forward to sharing more with you during the interview process.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status.

Any applicant who requires a reasonable accommodation during the selection process should contact Marvell HR Helpdesk at TAOps@marvell.com.

Interview Integrity

To support fair and authentic hiring practices, candidates are not permitted to use AI tools (such as transcription apps, real-time answer generators like ChatGPT or Copilot, or automated note-taking bots) during interviews.

These tools must not be used to record, assist with, or enhance responses in any way. Our interviews are designed to evaluate your individual experience, thought process, and communication skills in real time. Use of AI tools without prior instruction from the interviewer will result in disqualification from the hiring process.

This position may require access to technology and/or software subject to U.S. export control laws and regulations, including the Export Administration Regulations (EAR). As such, applicants must be eligible to access export-controlled information as defined under applicable law. Marvell may be required to obtain export licensing approval from the U.S. Department of Commerce and/or the U.S. Department of State. Except for U.S. citizens, lawful permanent residents, or protected individuals as defined by 8 U.S.C. 1324b(a)(3), all applicants may be subject to an export license review process prior to employment.

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