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Internship Python Pandas Jobs in Houston, TX (NOW HIRING)

Internship Python Pandas information

See Houston, TX salary details

$12

$55

$82

How much do internship python pandas jobs pay per hour?

As of May 30, 2026, the average hourly pay for internship python pandas in Houston, TX is $55.98, according to ZipRecruiter salary data. Most workers in this role earn between $46.15 and $63.61 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Internship Python Pandas, and why are they important?

To thrive in a Python Pandas internship, you need a solid understanding of Python programming, data manipulation, and familiarity with the Pandas library, often supported by coursework or personal projects in data analysis. Experience with tools such as Jupyter Notebook, NumPy, and version control systems like Git is commonly expected. Strong problem-solving skills, attention to detail, and the ability to communicate findings clearly will help you stand out. These skills and qualities are crucial for efficiently handling real-world datasets, contributing to team projects, and delivering actionable insights.

What types of projects and tasks can I expect to work on during a Python Pandas internship?

As a Python Pandas intern, you will typically work on data-driven projects such as data cleaning, transformation, analysis, and visualization. You might assist in preparing datasets for machine learning models, generating reports, or automating data workflows using Pandas and related libraries. Interns often collaborate with data scientists or analysts, gaining hands-on experience with real-world datasets and contributing to team objectives. This role offers a supportive environment to develop technical skills and learn industry best practices while making a meaningful impact.

What are Internship Python Pandas positions?

Internship Python Pandas positions are entry-level roles designed for students or recent graduates to gain hands-on experience working with Python and the Pandas library. These internships typically involve tasks like data cleaning, analysis, and manipulation using Pandas, often within the context of real-world projects. Interns may work on data-driven applications or support teams in preparing datasets for machine learning or business intelligence. These roles help interns build practical skills in data science and software development, and often serve as a stepping stone to more advanced roles in the tech industry.

What is the difference between Internship Python Pandas vs Data Analyst?

AspectInternship Python PandasData Analyst
Required SkillsPython, Pandas, basic data manipulationData analysis, SQL, Excel, visualization
Work EnvironmentInternship, entry-level, training-focusedFull-time, professional setting, project-driven
Industry UsageLearning phase, supporting data tasksInterpreting data, reporting, decision-making

Internship Python Pandas roles focus on learning and supporting data tasks using Python and Pandas, often as entry-level positions. Data Analysts have broader responsibilities, including interpreting data, creating reports, and making data-driven decisions. While both roles require some overlapping skills, Data Analysts typically have more experience and a wider skill set.

What cities near Houston, TX are hiring for Internship Python Pandas jobs? Cities near Houston, TX with the most Internship Python Pandas job openings:
Process QA - Module Testing Engineer

Process QA - Module Testing Engineer

Applied Optoelectronics, Inc.

Sugar Land, TX

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 26 days ago


Job description

Summary

Applied Optoelectronics, Inc. (AOI) is expanding rapidly in the telecommunication, data center, and AI infrastructure markets. We are seeking a Process QA – Module Testing Engineer to join our Quality team and contribute to quality assurance for optical transceiver module testing processes.

This role focuses on ensuring the stability, capability, and compliance of test stations and test processes across production and validation phases. The engineer will report to a team manager and work closely with cross-functional teams on test automation, data analysis, and process quality improvement initiatives.

New graduates and early-career engineers are welcome to apply.


Job Duties

1. Test Station Quality Assurance

  • Participate in QA activities for optical transceiver module test stations, including electrical, optical, and functional test platforms.

  • Verify that test stations and test processes meet product specifications, SOPs, and internal quality requirements.

  • Perform test station qualification and GR&R activities following defined procedures.

  • Support NPI, DVT, and PVT phases through test setup qualification and process validation.

  • Monitor test station performance and contribute to continuous improvement efforts.

2. Programming & Test Automation

  • Develop and maintain Python-based scripts and tools for test execution, data collection, and yield monitoring.

  • Use SQL query, manage, and analyze manufacturing and test databases.

  • Develop or maintain test applications using LabVIEW (preferred).

  • Interface with test equipment using standard communication protocols (e.g., GPIB, USB, Ethernet).

  • Experience using Python to communicate with test equipment is a plus.

3. Vendor Equipment & System Integration

  • Develop or maintain control programs for vendor test equipment (e.g., BERT, OPM, tunable lasers, optical switches, oscilloscopes, etc..).

  • Work with vendors and internal engineering teams to resolve test system issues.

4. Data Analysis & Process Improvement

  • Analyze test data to identify yield trends, process variation, and abnormal behaviors.

  • Participate in root cause analysis and CAPA activities.

  • Contribute to improvements in test efficiency, data integrity, and process robustness.

5. Documentation & Collaboration

  • Create and maintain test-related documentation such as specifications, qualification reports, SOPs, and control plans.

  • Collaborate with Manufacturing, Process Engineering, R&D, and Reliability teams.

  • Support audits related to test process quality and data integrity.

  • Ensure compliance with ISO 9001, TL 9000, and internal quality systems.


Qualifications

Education:

  • Bachelor’s degree or higher in Engineering or related disciplines, including CS, EE, ME, Optical Engineering, Semiconductor, Materials Science, or Physics or similar.


Required:

  • Programming Skills: Python, SQL

  • Understanding of test automation and data analysis

  • Ability to work in a manufacturing or test environment

  • Strong analytical, problem-solving, and documentation skills


New Graduate Friendly:

  • New graduates are welcome to apply
  • Internship, co-op, academic research, or project experience related to one or more of the following is a plus:
    • Quality engineering
    • Test automation
    • Manufacturing processes
    • Data analysis or programming

Preferred:

  • Python Packages: TKinter, Pyserial, Pythonnet, Openpyxl, Sqlalchemy, Pandas, Numpy, Matplotlib, or other equivlent data visualization tools

  • Experience with LabVIEW

  • Experience or exposure to manufacturing industry environments

  • Knowledge of optical transceiver modules, laser diodes, photonics, or optical communication systems

  • Familiarity with test equipment used in manufacturing or validation labs

  • Experience or exposure to SPC charts (e.g., control charts, Cp/Cpk)

  • Knowledge of Six Sigma or continuous improvement methodologies

  • Familiarity with root cause analysis tools (5 Why, Fishbone, Pareto)

  • Understanding of process capability and variation control

  • Experience participating in CAPA or quality improvement activities

  • Bilingual in English and Mandarin preferred

Location

This position is full-time and on-site at our Sugar Land, Texas, headquarters in Houston.

WHY AOI?

In addition to competitive salary, AOI offers

  • Flexible and competitive health (medical, dental, vision) plans offer the employee with the right options to meet individual and family needs
  • Employer matching on 401(k) deferrals
  • Generous PTO policy, with unused PTO payout at end of the year

We do not accept unsolicited proposals from third-party recruiters or agencies. Contacting hiring managers directly may result in disqualification of submissions.