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Data Specialist Remote Jobs in Spring, TX (NOW HIRING)

GAI Consultants

Data Center Program Manager

Houston, TX · On-site +1

$112K/yr

Collaborate with internal GAI specialists and digital transformation teams to pilot new tools and ... Enjoy flexible work arrangements (remote/hybrid options available). * Access a comprehensive ...

Addison Group

SCADA Specialist

Houston, TX · Remote

$70 - $90/hr

SCADA Specialist Location: Houston, TX Pay: $70 - $90 / hour Benefits: This role is eligible for ... and remote PLCs, RTUs, and other field devices. * Support system interfaces, business data ...

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Troutman Pepper

eBilling Specialist

Houston, TX · Remote

$60K - $95K/yr

Client service orientation #LI-Remote The Firm will comply with any applicable city or state ... If you have questions about our data handling practices, or you are a resident of California, the ...

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Data Specialist Remote information

See Spring, TX salary details

$12

$28

$56

How much do data specialist remote jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for data specialist remote in Spring, TX is $28.66, according to ZipRecruiter salary data. Most workers in this role earn between $18.85 and $35.10 per hour, depending on experience, location, and employer.

What is a data specialist remote?

A Data Specialist Remote job involves managing, analyzing, and maintaining data while working from a remote location. Responsibilities typically include data entry, cleaning, organization, and creating reports to support business decisions. Strong analytical skills, attention to detail, and proficiency in tools like Excel, SQL, or Python are often required. This role is crucial for ensuring data accuracy and accessibility for teams across an organization.

What are the key skills and qualifications needed to thrive as a data specialist remote?

A successful Data Specialist Remote typically needs strong analytical skills, experience with data management, and a relevant degree such as in computer science, statistics, or a related field. Familiarity with data analysis tools like SQL, Python, Excel, and database systems, along with data certification such as Microsoft Certified: Data Analyst Associate, is often required. Exceptional attention to detail, problem-solving, and effective virtual communication are important soft skills. These abilities ensure accurate data handling, deliver actionable insights, and support seamless collaboration in a remote, digital-first environment.

What are some common challenges faced by remote data specialists, and how can they be overcome?

Remote Data Specialists often encounter challenges such as coordinating with distributed teams, maintaining data security, and managing large data sets independently. Effective use of collaboration platforms, like Slack or Microsoft Teams, and adherence to strict data privacy protocols can help address these challenges. Additionally, setting clear communication routines and leveraging project management tools ensure alignment with your team and keeps projects moving smoothly. Proactively seeking feedback and sharing progress regularly can also help maintain productivity and prevent misunderstandings in a remote work environment.

What are popular job titles related to Data Specialist Remote jobs in Spring, TX?

For Data Specialist Remote jobs in Spring, TX, the most frequently searched job titles are:

What job categories do people searching Data Specialist Remote jobs in Spring, TX look for?

The top searched job categories for Data Specialist Remote jobs in Spring, TX are:

What cities near Spring, TX are hiring for Data Specialist Remote jobs?

Cities near Spring, TX with the most Data Specialist Remote job openings:

Data Specialist Remote jobs near you
Infographic showing various Data Specialist Remote job openings in Spring, TX as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $59,610 per year, or $28.7 per hour.

Senior Python Data Scraping Engineer (Freelance)

Mindrift

Houston, TX • Remote

$45/hr

Part-time

Re-posted 27 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 Do 

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 a 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 expectations 

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.

Compensation 

On this project, contributors can earn up to $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.

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