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Part Time Data Jobs in Houston, TX (NOW HIRING)

Part-Time Museum/Depot Clerk

Katy, TX

$15.50 - $20.75/hr

Part-time Museum/Depot Clerk Johnny Nelson Katy Heritage Museum & MKT Depot Museum City of Katy ... Perform light clerical duties, including filing, data entry, and distribution of visitor materials.

Ready to suit up as a Data Center Security Officer? What matters most about this role is your ... Full and Part Time Positions Available), Day and Overnight shifts available, 6 am - 6 pm, 6 pm - 6 ...

Ready to suit up as a Data Center Security Officer? What matters most about this role is your ... Full and Part Time Positions Available), Day and Overnight shifts available, 6 am - 6 pm, 6 pm - 6 ...

Ready to suit up as a Data Center Security Officer. What matters most about this role is your ... Full and Part Time Positions Available), Day and Overnight shifts available, 6 am - 6 pm, 6 pm - 6 ...

Showing results 21-40

Part Time Data information

See Houston, TX salary details

$8

$18

$49

How much do part time data jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for part time data in Houston, TX is $18.99, according to ZipRecruiter salary data. Most workers in this role earn between $12.58 and $18.41 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a part time data entry clerk, and why are they important?

To thrive as a Part Time Data Entry Clerk, you need strong attention to detail, fast and accurate typing skills, and a high school diploma or equivalent. Familiarity with spreadsheet software like Microsoft Excel, data management systems, and sometimes basic database tools is typically required. Reliability, time management, and the ability to work independently are important soft skills for this role. These skills ensure that data is entered accurately and efficiently, supporting overall business operations and data integrity.

What are part time data jobs?

Part-time data jobs are positions where employees work fewer hours than a standard full-time schedule, typically focusing on tasks related to data collection, entry, analysis, or management. These roles may include data entry clerks, data analysts, or research assistants, and are often found in industries like healthcare, finance, marketing, or education. Part-time data jobs are ideal for students, individuals seeking flexible work arrangements, or those looking to gain experience in the data field without committing to a full-time role.

What are some common challenges faced by part time data professionals, and how can they be addressed?

Part-time data professionals often encounter challenges such as managing workload within limited hours, staying updated with evolving data tools, and integrating effectively with full-time team members. To address these, clear communication about project expectations and deadlines is essential. Utilizing collaborative tools and participating in regular team meetings can help part-time staff stay aligned and contribute effectively, while ongoing learning helps bridge any skills gaps. Many organizations also encourage part-time employees to attend training sessions or workshops to stay current.

What is the difference between Part Time Data vs Part Time Data Analyst?

AspectPart Time DataPart Time Data Analyst
Required CredentialsBasic understanding of data concepts, possibly some courseworkRelevant degree or certification in data analysis, statistics, or related field
Work EnvironmentFlexible, often remote or freelance projectsOffice or remote, focused on analyzing data sets
Employer & Industry UsageVarious industries, including tech, marketing, researchBusinesses seeking data insights, analytics firms, research organizations

Part Time Data generally refers to flexible, entry-level data-related tasks, while Part Time Data Analyst involves more specialized analysis work requiring relevant skills and certifications. The analyst role typically demands a deeper understanding of data tools and methodologies, making it more focused on interpreting data to inform decisions.

What are the most commonly searched types of Data jobs in Houston, TX? The most popular types of Data jobs in Houston, TX are:
What are popular job titles related to Part Time Data jobs in Houston, TX? For Part Time Data jobs in Houston, TX, the most frequently searched job titles are:
What cities near Houston, TX are hiring for Part Time Data jobs? Cities near Houston, TX with the most Part Time Data job openings:
Infographic showing various Part Time Data job openings in Houston, TX as of August 2026, with employment types broken down into 100% Part Time. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $39,491 per year, or $19 per hour.

Senior Python Data Scraping Engineer (Freelance)

Mindrift

Houston, TX โ€ข Remote

$45/hr

Part-time

Re-posted 14 days ago


Job description

Mindrift is looking for highly skilled Vibecode specialists to join the Tendem project (https://tendem.ai/) and drive specialized data scraping workflows for real-world use cases. Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world applications. In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, reliable, and high-quality results. This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.

What We Doย 

The Mindrift platform connects specialists with innovative technology projects. Our mission is to help develop high-quality AI technologies by combining real-world expertise from professionals across the globe with advanced AI development efforts.

About the Role

This is a freelance role for a Tendem project. As aย Senior Python Data Scraping Engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing tools such as Apify, OpenRouter, and other technologies, alongside your own technical expertise and approaches.

Key Responsibilities

  • Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.
  • Leverage available tools and custom workflows to accelerate data collection, validation, and task execution while meeting defined requirement.
  • Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.
  • Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.
  • Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.

Educational qualifications

  • At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).
  • Bachelor's or Master's Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.

Academic and/or Professional Experience

Candidates should have a strong technical foundation and practical experience with scripting, automation, and data extraction workflows. We are looking for specialists who can solve non-trivial problems, work confidently with modern development tools and technologies, and systematically collect, structure, and validate data from diverse sources. A methodical, detail-oriented approach and the ability to work independently are essential.

Technical Skills (Essential)

  • Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies
  • Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML)
  • Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets)

Additional requirements

  • Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale
  • Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows
  • Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks
  • Strong attention to detail and commitment to data accuracy
  • Self-directed work ethic with ability to troubleshoot independently
  • A link to GitHub is a plus
  • English proficiency: Upper-intermediate (B2) or above (required)

Project time expectationsย 

For this project, tasks are estimated to require around 10-20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.

Compensationย 

On this project, contributors can earn up toย $45 per hour equivalent, depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.