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

Scalepex

AWS Data Engineer - Fully Remote - US Only

Plano, TX · On-site +1

$109K - $131K/yr

Implement ETL/ELT processes using PySpark, Python, and Pandas to clean, transform, and integrate data from multiple sources into unified datasets. * Distributed Systems Expertise : Leverage ...

SmartIPlace

SAP CO Lead-Remote

Irving, TX · Remote

$65 - $70/hr

Collaborate with data migration and technical teams on activities regarding data extraction, transformation, and loading into SAP S/4HANA during build, test and cutover phases of the project.

IT America Inc

Kafka Engineer

Dallas, TX · Remote

$57 - $75.50/hr

Remote Duration: Long term contract Type: Only W2 (No C2C/1099) Job Summary: We are looking for a ... Basic knowledge of data pipelines and ETL processes

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All JobsData Extraction JobsRemote Data Extraction JobsRemote Data Extraction Jobs in Dallas, TX

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 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 are popular job titles related to Remote Data Extraction jobs in Dallas, TX?

For Remote Data Extraction jobs in Dallas, TX, the most frequently searched job titles are:

What job categories do people searching Remote Data Extraction jobs in Dallas, TX look for?

The top searched job categories for Remote 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:

Remote Data Extraction jobs near you
Infographic showing various Remote Data Extraction job openings in Dallas, TX as of August 2026, with employment types broken down into 61% Full Time, 20% Part Time, and 19% Contract. Highlights an 100% Remote job distribution.

MDM ETL Specialist / Developer - W2

Frisco, TX • Remote

CLOUDSCOUTS SOFTWARE SOLUTIONS LLC
See more jobs at CLOUDSCOUTS SOFTWARE SOLUTIONS LLCexternal

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

We are seeking an experienced MDM ETL Specialist / Developer to provide technical development and hands-on delivery and support for Master Data Management services supporting the Health and Human Services Innovation Incubator project. This role will focus on Informatica MDM, Informatica PowerCenter, data integration, data quality, data governance, and analysis capabilities that support a unified cross-agency client/member view across State programs.
Key Responsibilities
·        Use Informatica MDM tool to combine source data from agency sources, applying numerous transformations to the data that are required, applying corrections to the source files, and adding new fields via the change request process.
·        Working knowledge of Informatica MDM and ability to support MDM development and operational activities.
·        Automate the staging of data by scheduling scripts to run at optimal times, enhancing overall system performance and efficiency.
·        Implementing MDM jobs by creating mappings, mapplets, sessions, and workflows.
·        Working with different ETL transformations, including Aggregator, Expression, Filter, Router, Sequence Generator, Update Strategy, Joiner, Rank and Source Qualifier, Lookup, and Sorter.
·        Scheduling and monitoring ETL/Informatica jobs in development, system testing, and production environment.
·        Troubleshoot post-release production support issues and develop solutions.
·        Developing, maintaining, and analyzing complex SQL queries and scripts used to create data marts in Teradata.
·        Work directly with the QA team to support defect resolution, validation, and testing of MDM-related processes.
·        Participating in project discussions to document and recommend alternative technical solutions or requirements.
·        Participating in unit, integration, and system testing.
 Required Qualifications
·        5+ years of experience in MDM, ETL/ELT, data engineering, or data integration development.
·        3+ years of hands-on Informatica MDM implementation experience.
·        Experience developing ETL mappings, mapplets, sessions, workflows, transformations, scheduling, monitoring, and troubleshooting Informatica jobs.
·        SQL experience, with large MDM and DBMS enterprise relational platforms.
·        Experience with data quality, matching, unique client/member identifier, standardization, reconciliation, and data governance concepts.
·        Experience supporting ETL/MDM operations, performance tuning, issue resolution, and SDLC delivery.
·        Experience with Python programming for scripting, automation, testing, or data processing support.
 
·        Bachelor’s degree in computer science, Data Analytics, Information Systems, Engineering, or equivalent experience.
 Preferred Qualifications
·        Experience working in other MDM tools including Cloud-native MDM solutions.
·        Experience working in State Government, public sector, or regulated environments.
·        Experience with Agile/Scrum Sprint development and iterative/incremental delivery.
·        Experience with healthcare, Medicaid, claims, eligibility, provider, or Health and Human Services data.
·        Exposure to interoperability formats such as X12, EDI, XML, JSON, APIs, or HL7/FHIR.
·        Exposure to cloud data platforms or modernization initiatives such as Azure, ADF, Databricks, Snowflake, Data Lake, or comparable technologies is a plus.
·        Experience with on-prem-to-cloud migration, MDM modernization, or EDW / ETL modernization initiatives.
·        Exposure to automation, AI/ML, GenAI, or LLM-assisted engineering for development, testing, documentation, profiling, or data quality is a plus.
·        Ability to operate in a telecommute environment and matrix organization with minimal direction.

This is a remote position.