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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.

Ardurra

Data Analytics Manager

Dallas, TX · On-site +1

... remote applicants, preferably near major Ardurra offices. Ardurra is a multidisciplinary civil ... Build scalable ETL/ELT pipelines that deliver trusted, high-quality data across the organization.

Huntington

Data Engineer

Dallas, TX · On-site +1

$63K - $124K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Ability to engineer data solutions using ETL tools or develop APIs as needed. * Bachelor's Degree ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

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

Dynatron

Sr. Data Engineer

Richardson, TX · On-site +1

$104K - $124K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... directly into the ETL/ELT pipelines. * Enforce strict data contracts and schema evolution ... Remote-first environment offering flexibility, autonomy, and trust.

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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.

Cloud Database Administrator (DBA)/ETL Engineer

CLOUDSCOUTS SOFTWARE SOLUTIONS LLC

Frisco, TX • Remote

Full-time

Re-posted 15 hours ago

Job description

Cloud Data Engineer
100% Remote
Contract: Goes until 6/30 anticipated to renew each fiscal year
Hours: 37.5hrs a week (7.5hrs daily)
 
 
In alignment with state-level technology modernization initiatives, the Education Technology Office has undertaken a multi-year application and platform modernization project. The IT team is seeking a Cloud Database Administrator (DBA)/ETL Engineer to assist in maintaining, optimizing, modernizing, and troubleshooting the organization’s data warehouse, data mart, and overall data portfolio. Under the direction of senior leadership and data engineering team leads, the DBA/ETL/ELT Engineer will manage databases and data services hosted on cloud platforms, ensuring they are secure, performant, highly available, and compliant with governance policies.
 
The Engineer will be hands-on working with a team of cloud Engineers, ETL developers, technical leads, DBAs, project managers and analysts to design and implement the Education portfolio data, data pipelines, and transformations in a more stream-lined, scalable and cost-effective set of solutions.
 
Mandatory requirements
• Experience working with Oracle RDS
• Experience working with one or more AWS Cloud services such as S3 storage, Managed Airflow (MWAA),      Data Migration Service (DMS) in support of building data pipelines
• Experience working with a variety of backend data sources (e.g. SQL Server, Oracle, Postgres, DynamoDB,
Snowflake)
• Advanced SQL coding skills and ability to translate Oracle PL SQL and Stored Procedure code to alternative SQLplatforms such as Snowflake
• Familiarity with data warehouse and data mart concepts such as normalization, facts, dimensions, slowly
changing dimensions
• Familiarity with Change Data Capture (CDC) concepts and implementations. Knowledge of Kafka or similar
replication tools is a plus
• Understanding of common file formats such as JSON, XML, CSV
• Basic experience using scripting tools to automate tasks (e.g.: Python, Windows PowerShell, bash)
• Ability to write unit test scripts and be able to validate migrated ELT/ETL code
 
 
Preferred
• Experience configuring, managing, and troubleshooting Airflow tool. Knowledge of Airflow DAGs and concepts
for managing dependent graphs and complex steps
• Knowledge of Snowflake data warehouse features such as Snowpipe streaming, cloning, time travel, role-basedaccess control
• Prior experience working at other large organizations, preferably state or federal government
• Business domain knowledge in the Education and Student data management area.
• Experience working with software development tools such as GitHub, Jir
 
 
Regular responsibilities include:
• Create and manage cloud-native databases and services (e.g., RDS Oracle, Aurora, Postgres, Snowflake).
• Track and tune query execution, compute scaling, and storage performance.
• Define policies for snapshots, PITR (point-in-time recovery), and cross-region replication.
• Implement encryption, access policies, masking, and auditing to meet FERPA/PII standards.
• Manage schema migrations, data pipelines, and versioned deployments.
• Hands-on discovery, solution designing, re-platforming and troubleshooting to migrate the EOE Legacy SSIS
ETL code to a SQL based solution with Apache Airflow for scheduling and dependency management.
• Tasks may include re-Engineering overall solution approach, constructing code packages, bug
fixing, unit testing code and using GitHub code repository
• Develop and guide implementation of Apache Airflow Scheduling and Dependency Framework
• Performance tuning and optimizing solution implementation, benchmark the new solution against the on-prem
solution to ensure that it performs comparably or better
• Using Jira to review and work through assigned tasks
• Using GitHub to check in and manage code, code reviews, pull requests
 

This is a remote position.