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Remote Teradata Jobs in Texas (NOW HIRING)

ASM Research

Data Engineer Journeyman

San Antonio, TX · On-site +1

$103K - $124K/yr

Willingness and ability to work effectively in a remote, distributed team environment supporting federal or enterprise IT operations. Preferred Qualifications * Experience with one or more major ...

Metro National Corporation

Data Engineer

Houston, TX · On-site +1

$109K - $131K/yr

Remote candidates will not be considered. We do not Sponsor Visa's SUMMARY: MetroNational is modernizing its data and analytics capabilities to foster a data-driven culture. We are seeking a skilled ...

Arva Intelligence

Modeling Scientist

Houston, TX · On-site +1

$100K - $160K/yr

Remote Base Salary Range : $100k - $160k base salary The Modeling Scientist is responsible for improving model traceability, uncertainty quantification, and predictive trustworthiness in Arva ...

Wondr Health

Data Engineer

Dallas, TX · On-site +1

$100K - $120K/yr

General office working conditions can be remote work from home or in the office. Each department head determines if the position is work from home or hybrid meaning works from home and in the office ...

Confie

Data Transformation Engineer

Addison, TX · On-site +1

$130K - $150K/yr

Flexible work options, including remote and hybrid opportunities, if eligible * Retirement Plan (401k) with company-matched contributions * Education Advancement, for employees and qualified ...

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Remote Teradata information

What skills and qualifications are needed to thrive as a remote Teradata professional?

To thrive as a Remote Teradata professional, you need a strong background in database management, SQL programming, and data warehousing concepts, often supported by a degree in computer science or a related field. Familiarity with Teradata tools, data integration platforms, and certifications such as Teradata Certified Professional are commonly required. Excellent problem-solving, communication, and self-motivation are crucial soft skills for effective remote collaboration and troubleshooting. These skills ensure efficient data management, seamless teamwork, and the ability to deliver solutions in distributed work environments.

How do remote Teradata professionals typically collaborate with on-site teams and stakeholders?

Remote Teradata professionals often use a combination of video conferencing, instant messaging, and project management platforms to maintain close communication with on-site teams. They frequently participate in regular meetings to discuss project progress, troubleshoot issues, and align on database management strategies. Collaboration is essential, especially when working on large-scale data warehousing solutions, so remote professionals are expected to be proactive in providing updates and sharing insights. Clear documentation and consistent communication help bridge the gap between remote and on-site teams, ensuring seamless integration and efficient project delivery.

What is the difference between Remote Teradata vs Remote SQL Developer?

AspectRemote TeradataRemote SQL Developer
Required CredentialsTeradata certifications, SQL knowledgeSQL certifications, database knowledge
Work EnvironmentData warehousing, large-scale enterprise systemsApplication development, database management
Industry UsageData analytics, telecom, financeSoftware, finance, healthcare
Common Search/ComparisonYesYes

Remote Teradata professionals focus on managing and optimizing Teradata data warehouses, requiring specific Teradata certifications and experience with large-scale data systems. Remote SQL Developers work across various databases, including SQL Server, MySQL, and PostgreSQL, often with broader application development skills. While both roles involve SQL expertise, Remote Teradata roles are more specialized in data warehousing, whereas Remote SQL Developers have a wider scope in database and application development.

What is a remote Teradata?

Remote Teradata jobs are positions that involve working with Teradata, a leading data warehousing and analytics platform, from a location outside the traditional office environment. These roles typically include responsibilities such as database administration, development, data analysis, and system maintenance, all performed remotely. Remote Teradata professionals use secure connections to access company systems, enabling them to manage large datasets, optimize queries, and support business intelligence initiatives from anywhere. This flexibility allows companies to hire talent from a broader geographic area while also giving employees a better work-life balance.
What are the most commonly searched types of Teradata jobs in Texas? The most popular types of Teradata jobs in Texas are:
What are popular job titles related to Remote Teradata jobs in Texas? For Remote Teradata jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Remote Teradata jobs in Texas look for? The top searched job categories for Remote Teradata jobs in Texas are:
What cities in Texas are hiring for Remote Teradata jobs? Cities in Texas with the most Remote Teradata job openings:
Remote Teradata jobs near you
Infographic showing various Remote Teradata job openings in Texas as of July 2026, with employment types broken down into 86% Full Time, 10% Part Time, and 4% Contract. Highlights an 51% Physical, 4% Hybrid, and 45% Remote job distribution.

Freelance Data Scraping Engineer (Python)

Mindrift

Austin, TX • Remote

$37/hr

Part-time

Re-posted 24 days ago

Job description

Mindrift is looking for highly skilled Web Scraping 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 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 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 requirements.
  • 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 3+ 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 web technologies and data processing tools, 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

  • Hands-on experience with LLMs and AI frameworks to enhance automation and problem-solving
  • 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 $37 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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