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Remote Data Extraction Jobs in Memphis, TN (NOW HIRING)

Job Title: IT Solution Architect Data & Analytics Location: Remote Overview We are seeking an ... Trace, extract, and manipulate data across legacy manufacturing and business systems. * Integrate ...

Remote Data Extraction information

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?

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.

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 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.

What are popular job titles related to Remote Data Extraction jobs in Memphis, TN?

For Remote Data Extraction jobs in Memphis, TN, the most frequently searched job titles are:

What cities near Memphis, TN are hiring for Remote Data Extraction jobs?

Cities near Memphis, TN with the most Remote Data Extraction job openings:

Infographic showing various Remote Data Extraction job openings in Memphis, TN as of August 2026, with employment types broken down into 91% Full Time, and 9% Contract. Highlights an 100% Remote job distribution.

IT Solution Architect

Memphis, TN • Remote

Nextech
Software Development • 201 - 500 employees

Full-time

Posted 15 days ago


Key responsibilities

  • Design, maintain, optimize, and support data warehouse solutions used for enterprise reporting.

  • Trace, extract, and manipulate data across legacy manufacturing and business systems, and integrate data from various sources.

  • Monitor batch jobs and data movement, troubleshoot failures, and support data processing during critical reporting periods.


Job description

Job Title: IT Solution Architect Data & Analytics

Location: Remote

Overview

We are seeking an IT Solution Architect to own and evolve the architecture supporting enterprise data warehousing, batch processing, and consolidated reporting. This role combines solution architecture with hands-on troubleshooting, legacy data analysis, and ongoing support of high-visibility data products. The architect will translate business requirements into technical roadmaps and implementation patterns while helping advance data modernization efforts.

Key Responsibilities

  • Design, maintain, optimize, and support data warehouse solutions used for enterprise reporting.
  • Trace, extract, and manipulate data across legacy manufacturing and business systems.
  • Integrate data from ordering, invoicing, production, shipping, accounts receivable, accounts payable, and related sources.
  • Transform data from disparate systems into consistent warehouse structures for downstream reporting and analytics.
  • Support master data systems used for commercial reporting.
  • Monitor batch jobs and data movement, troubleshoot failures, and intervene to maintain timely and accurate processing.
  • Help ensure reliable data processing during critical reporting periods, including financial month-end close.
  • Translate business requirements into solution architectures, technical roadmaps, and implementation patterns.
  • Define technical direction and architectural standards for product, delivery, and managed service provider teams.
  • Collaborate on user stories, solution designs, system integration plans, testing strategies, deployment plans, and release activities.
  • Evaluate technology trends and product performance while managing architectural risk, quality, security, and compliance.
  • Align solutions with enterprise and platform architecture standards.
  • Coach developers and engineers while serving as a technical expert for supported data products.
  • Create and communicate technical specifications, solution design documentation, and stakeholder presentations.

Required Qualifications

  • Degree in Computer Science or a related technical field, or equivalent technical experience.
  • Typically 510 years of IT experience, with most experience concentrated in data platforms, architecture, or a closely related technical area.
  • Strong SQL skills and experience tracing, extracting, transforming, and troubleshooting data across complex or legacy systems.
  • Experience with relational database platforms and SQL-based data extraction.
  • Hands-on knowledge of dimensional modeling, data warehousing, data normalization and denormalization, and schema access.
  • Experience with ETL/ELT orchestration, batch processing, data interfaces, and scheduled processing.
  • Working knowledge of DDL, DML, DQL, and TCL commands.
  • Experience developing or supporting stored procedures and other code-based data-processing components.
  • Ability to independently investigate, diagnose, and resolve complex data problems using fact-based analysis.
  • Experience supporting business-critical data products while contributing to modernization initiatives.
  • Ability to translate business requirements into solution designs, architecture patterns, and technical roadmaps.
  • Experience creating technical specifications, system integration plans, testing and quality plans, deployment plans, and change or release documentation.
  • Knowledge of Agile and waterfall delivery methodologies and related platforms such as Azure DevOps.
  • Strong communication and collaboration skills across business stakeholders, data stewards, architects, developers, engineers, product teams, and external delivery partners.
  • Ability to work effectively in an evolving, unstructured environment and communicate complex technical concepts clearly.
  • Ability to learn and support newer data platforms, including Microsoft Fabric.

Preferred Qualifications

  • Experience working with Oracle databases and Oracle backend environments.
  • Experience with Oracle SQL*Loader, PL/SQL, packages, stored procedures, and triggers.
  • Experience with Microsoft SQL Server and T-SQL extraction sources.
  • Experience with Windows scripting, including VBScript and batch scripts.
  • Experience managing scheduled tasks, file server storage, and server or file-directory processes.

How to Apply

Qualified candidates are encouraged to submit a resume for confidential consideration.