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Remote Data Extraction Jobs in Dallas, TX (NOW HIRING)

Data Engineer

Dallas, TX · On-site +1

$113K - $136K/yr

This opportunity is remote with the ideal candidate being located in DFW, Phoenix, Atlanta or ... Create scalable ETL/ELT processes to extract, cleanse, transform, and load data from ERP, CRM, ...

Data Engineer

Dallas, TX · On-site +1

$113K - $136K/yr

This opportunity is remote with the ideal candidate being located in DFW, Phoenix, Atlanta or ... Create scalable ETL/ELT processes to extract, cleanse, transform, and load data from ERP, CRM, ...

Data Engineer

Dallas, TX · On-site +1

$113K - $136K/yr

Design, build, and optimize scalable data pipelines, ETL/ELT workflows, and cloud-based data ... is Hybrid Remote. We offer several comprehensive benefits package including health and life ...

Sr. Data Engineer

Irving, TX · On-site +1

$157K/yr

... Extract/Load/Transform (ETL) workflows to address complex problems and support business ... Hybrid position: remote work permitted but must live within commuting distance of designated office ...

Data Engineer

Carrollton, TX · On-site +1

$120K/yr

Lewisville TX Onsite/ Remote: Day 1 Onsite at customer location Automotive domain Must. Job ... with ETL tools and techniques (Desirable) Basic proficiency with a dialect of ANSI SQL, APIs, and ...

Data Engineer

Roanoke, TX · Remote

$65/hr

Westlake, TX (Hybrid - 2 weeks onsite per month/ alternate weeks, rest remote) Salary: Up to $130 ... ETL development API Development Skills: - Java script - Restful API development - CICD Jenkins ...

Senior Data Engineer

Dallas, TX · Remote

$104K - $142K/yr

Design, develop, and maintain ETL processes and data structures following best practices. * Work ... Prior law firm or professional services experience beneficial. #LI-Remote The Firm will comply with ...

... and remote work on Fridays Who we're looking for: Toyota Financial Services is seeking highly ... Extract, manipulate, and clean data from diverse sources using SQL and Python, preparing it for ...

Sr/Staff Data Scientist (Remote - US)

TX · On-site +1

$165K - $300K/yr

Remote US Anticipated Start Date: 06/01/2026 The US base salary range for this full-time position ... Proficiently extract, aggregate, and transform data from SQL and NoSQL databases, leveraging ...

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Remote Data Extraction information

What are some common challenges faced in a remote data extraction role and how can they be addressed?

One common challenge in remote data extraction is ensuring data accuracy while working independently, especially when dealing with large and diverse datasets. Discrepancies can arise from inconsistent data formats or sources, so developing strong attention to detail and utilizing reliable extraction tools is critical. Another challenge is communication, as collaborating with data analysts or project managers remotely requires proactive updates and clear documentation. To address these issues, it's helpful to establish regular check-ins with your team, use standardized data templates, and stay organized with project management software.

What jobs pay 4000 a week without a degree?

Remote data extraction roles can pay around $4,000 per week for experienced professionals, especially those skilled in data scraping, automation tools, and programming languages like Python or SQL. These positions often require strong technical skills, self-motivation, and the ability to work independently, with some roles offering high pay based on project complexity and volume.

How to make $1000 a week remotely?

Remote data extraction jobs can pay between $10 and $25 per hour, so earning $1000 weekly typically requires working 40 to 50 hours. Developing strong data handling skills, familiarity with tools like Excel or data scraping software, and maintaining consistent productivity can help achieve this income level. Building a reliable client base or working through reputable platforms can also increase earning potential.

What is remote data extraction?

Remote data extraction is the process of retrieving and collecting data from various sources—such as websites, databases, or documents—without being physically present at the source location. This is typically achieved using specialized software, scripts, or tools that can access and gather data over the internet or through remote connections. Professionals in this field often automate data collection tasks to save time and improve accuracy, especially when dealing with large volumes of information. Remote data extraction is commonly used for business intelligence, market research, competitive analysis, and data migration projects.

What are the key skills and qualifications needed to thrive as a Remote Data Extraction Specialist, and why are they important?

To thrive as a Remote Data Extraction Specialist, you need proficiency in data analysis, attention to detail, and experience with data extraction and transformation techniques, often supported by a degree in computer science, information systems, or a related field. Familiarity with tools such as SQL, Python, web scraping frameworks (like BeautifulSoup or Scrapy), and data management platforms is typically required. Strong problem-solving skills, self-motivation, and effective communication are valuable soft skills for excelling in a remote environment. These abilities ensure accurate data collection, efficient workflow, and reliable delivery of insights for business or research needs.

How to become a data extractor?

To become a remote data extractor, you should develop skills in data collection, cleaning, and analysis, often using tools like Excel, SQL, or web scraping software. Relevant experience, attention to detail, and the ability to work independently are important, and some roles may require basic knowledge of programming languages such as Python or JavaScript.

What is the difference between Remote Data Extraction vs Remote Data Entry?

AspectRemote Data ExtractionRemote Data Entry
Primary FocusExtracting data from various sources like websites, PDFs, or imagesInputting data into databases or spreadsheets
Skills RequiredWeb scraping, data analysis, attention to detailTyping speed, accuracy, basic computer skills
Tools UsedWeb scraping software, OCR tools, data management platformsExcel, Google Sheets, data entry software
Work EnvironmentMostly independent, often project-basedConsistent, repetitive tasks

Remote Data Extraction involves retrieving data from various sources, requiring technical skills like web scraping and data analysis. Remote Data Entry focuses on inputting data accurately into systems, emphasizing speed and precision. Both roles are remote-friendly but differ in technical complexity and daily tasks.

Is 40 too late for data science?

Age is not a strict barrier for a remote data extraction or data science role; many professionals transition into the field later in life. Success depends on skills, experience, and continuous learning of tools like Python, SQL, and machine learning concepts, regardless of age.
What are the most commonly searched types of Data Extraction jobs in Dallas, TX? The most popular types of Data Extraction jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for Remote Data Extraction jobs? Cities near Dallas, TX with the most Remote Data Extraction job openings:
Infographic showing various Remote Data Extraction job openings in Dallas, TX as of June 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 100% Remote job distribution.

Data Engineer

XTG

Dallas, TX • On-site, Remote

$113K - $136K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 20 days ago


Job description

The Data Engineer role is responsible for designing, building, and maintaining scalable data pipelines, integrations, and data models that support enterprise reporting, analytics, data migration, and operational decision-making. This role works within established architectural frameworks while contributing to the continued modernization of XTG's data platform. This role plays a key part in supporting the organization's transition to modern cloud-based data platforms, including Microsoft Fabric, Power BI, Azure DevOps, and Dynamics 365 data integration initiatives.
The Exponential Technology Group (XTG) is a specialist in the electronic component distribution and design engineering services industries. XTG is part of the TTI Family of Companies. This opportunity is remote with the ideal candidate being located in DFW, Phoenix, Atlanta or Raleigh-Durham
ACCOUNTABILITIES:
Design, develop, test, and maintain data pipelines, dataflows, notebooks, and integration processes across enterprise systems.
Build and support data ingestion frameworks using Microsoft Fabric, Lakehouse/Warehouse architecture, SQL, and cloud-based data engineering patterns.
Develop and maintain Bronze, Silver, and Gold layer data structures to support reporting, analytics, and downstream business processes.
Create scalable ETL/ELT processes to extract, cleanse, transform, and load data from ERP, CRM, operational, and third-party systems.
Partner with business stakeholders, analysts, and application teams to clarify data requirements and translate them into technical solutions.
Support data migration and integration efforts related to Dynamics 365 and other enterprise platform initiatives.
Develop and maintain SQL queries, stored procedures, views, data models, and transformation logic.
Implement data quality checks, validation rules, logging, error handling, and monitoring within data pipelines.
Troubleshoot and resolve issues related to data accuracy, pipeline failures, source system changes, performance, and integration errors.
Contribute to data architecture, governance, naming standards, documentation, and reusable engineering patterns.
Use Azure DevOps, Git, branching strategies, and CI/CD practices to manage source control and deployment of data engineering assets.
Collaborate with reporting and analytics teams to support Power BI semantic models, dashboards, and enterprise reporting needs.
Provide guidance and support to junior team members, analysts, or business users as needed.
Continuously expand technical knowledge across Microsoft Fabric, Azure, Power BI, Dynamics 365, and modern data engineering practices.
Additional duties as assigned.
EDUCATION & EXPERIENCE
Bachelor's degree in Computer Science, Information Systems, Data Engineering, Software Engineering, or a related field, or equivalent professional experience.
4+ years of professional experience in data engineering, business intelligence, analytics engineering, or enterprise data integration.
Experience building and maintaining data pipelines, ETL/ELT processes, data warehouses, lakehouses, or cloud-based analytics platforms.
Experience working with enterprise systems such as ERP, CRM, financial, operational, or supply chain platforms preferred.
Experience supporting data migration, system integration, or enterprise reporting initiatives preferred.
SKILLS & CERTIFICATIONS
  • Strong SQL development skills, including query optimization, joins, aggregations, views, stored procedures, and data validation logic.
  • Hands-on experience with Microsoft Fabric, Azure Synapse, Azure Data Factory, Databricks, or similar cloud data platforms.
  • Working knowledge of Power BI, semantic models, data modeling, and reporting data structures.
  • Ability to work independently on complex technical tasks while collaborating with business and technical stakeholders.
  • Strong documentation skills, including technical designs, data mappings, source-to-target logic, and operational procedures.
  • Exposure to or interest in AI-assisted development, automation, metadata-driven frameworks, or agentic AI tooling.
  • Microsoft certifications related to Fabric, Azure Data Engineering, Power BI, or Data Fundamentals preferred but not required.

What we offer our team members:
  • A great benefits package that includes (but is not limited to): Medical/ Dental/ Vision, 401(k)/Roth plan with matching, Healthcare Savings Accounts.
    Educational Assistance (Tuition Reimbursement).
  • Ongoing training throughout your employment with opportunities to participate in professional and personal development programs.
  • A strong focus on giving back to our communities through philanthropic opportunities.
  • Great culture and opportunities for growth and advancement.

This is a summary of the primary accountabilities and requirements for this position. The company reserves the right to modify or amend accountabilities and requirements at any time at its sole discretion based on business needs. Any part of this job descriptions is subject to possible modification to reasonably accommodate individuals with disabilities.
This position requires use of information or access to hardware which is subject to the International Traffic in Arms Regulations (ITAR). To perform the position, you must be a U.S. Person as defined by ITAR. ITAR defines a U.S. person as a U.S. Citizen, U.S. Permanent Resident (i.e. 'Green Card Holder'), Political Asylee, or Refugee.
Visa sponsorship is not available for this role. Only candidates authorized to work in the United States will be considered.
XTG is an Equal Opportunity Employer, and we support protected veterans and individuals with disabilities through our affirmative action program.
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.