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Remote Data Extraction Jobs (NOW HIRING)

Bayforce

ADP Data Extraction Consultant

Manhattan, NY · Remote

United States - Remote About the Role We are seeking an ADP Data Extraction Consultant to support a large-scale Workday migration and historical data initiatives. This role will focus on extracting ...

OAG Worldwide

Our Data Extraction team is growing - and we want you to be part of it. We're a large ... that allow remote work or office attendance An attractive compensation and benefits package ...

AceStack LLC

$59 - $76/hr

Role-Data Migration Specialist Location-Remote Contract Responsibilities * 12+ years of Data ... Able to lead team of data architect, data analyst and data engineer to develop data extraction ...

3B Staffing LLC

$47.25 - $61.75/hr

Remote Job Type: Contract ETL Developer / Data Integration Professional * Develop and optimize complex SQL queries for data extraction, transformation, and loading across multiple systems and large ...

INFT Solutions Inc

Remote-Data Engineer- Only W2

Atlanta, GA · Remote

$110.10K - $132.20K/yr

Remote Role Focus: Pipeline Development + Support Key Skills / Responsibilities: Build and maintain ETL pipelines Support batch + CDC ingestion (including mainframe) Data validation, monitoring ...

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Remote Data Extraction information

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.

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 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 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.

More about Remote Data Extraction jobs
What cities are hiring for Remote Data Extraction jobs? Cities with the most Remote Data Extraction job openings:
What are the most commonly searched types of Data Extraction jobs? The most popular types of Data Extraction jobs are:
What states have the most Remote Data Extraction jobs? States with the most job openings for Remote Data Extraction jobs include:
What job categories do people searching Remote Data Extraction jobs look for? The top searched job categories for Remote Data Extraction jobs are:
Remote Data Extraction jobs near you
Infographic showing various Remote Data Extraction job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 59% Physical, and 41% Remote job distribution.
UKG Data Extraction Specialist - Remote

UKG Data Extraction Specialist - Remote

NAVA Software Solutions

Houston, TX • On-site, Remote

Full-time

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

Job description

NAVA Software solutions is looking for a UKG Data Extraction Specialist
Details:
UKG Data Extraction Specialist
Duration: 6 -12 months
Location: Remote Project
The UKG Data Extraction Specialist will play a crucial role in ensuring the success of the Oracle HCM project, contributing to the seamless integration of data and the achievement of project milestones within the specified timelines.
The data will have to be ready for MOCK load in June and then MOCK 2-3 for final load in December
Responsibilities:
  1. Data Extraction from UKG:
  • Utilize expertise in UKG (Ultimate Kronos Group) systems to extract required data accurately and efficiently.
  • Collaborate with stakeholders to understand specific data extraction requirements for the Oracle HCM project.
  • Must understand the table structures for UKG (the payroll/hr software)
  • Employ best practices to ensure data extraction is performed securely and in compliance with relevant regulations (such as GDPR).
  1. Data Transformation:
  • Analyze extracted data to identify any inconsistencies or anomalies that may require transformation.
  • Develop and implement data transformation processes to ensure compatibility with the Oracle HCM dataload requirements.
  • Ensure data integrity and quality are maintained throughout the transformation process.
  1. Oracle HCM Dataload Preparation:
  • Prepare extracted and transformed data for seamless integration into the Oracle HCM system.
  • Work closely with the 3rd party System Integrator team to understand dataload specifications and requirements.
  • Collaborate with cross-functional teams to resolve any issues or discrepancies that may arise during dataload preparation.
  1. Project Timelines and Deliverables:
  • Adhere to strict project timelines, ensuring data is ready for loads in Q2 and end of year .
  • Proactively identify and communicate any potential delays or challenges that may impact project deadlines.
  • Work efficiently to onboard quickly and ramp up productivity to meet project milestones effectively.

  1. Documentation and Reporting:
  • Maintain comprehensive documentation of data extraction and transformation processes, including any modifications or updates made.
  • Generate regular reports on data extraction progress, transformation efforts, and dataload readiness for project stakeholders.
  • Provide insights and recommendations for process improvements based on data analysis and project feedback.
  1. Collaboration and Communication:
  • Collaborate effectively with internal teams, including HR, IT, and project management, to ensure alignment with project goals and objectives.
  • Communicate regularly with stakeholders to provide updates on data extraction, transformation, and dataload preparation activities.
  • Act as a subject matter expert (SME) on UKG data extraction and Oracle HCM integration, offering guidance and support as needed.
  1. Continuous Learning and Development:
  • Stay updated on industry trends and best practices related to UKG systems, data extraction, and HCM integration.
  • Participate in training sessions and workshops to enhance skills and knowledge in relevant technologies and methodologies.
  • Share insights and expertise with the team to foster a culture of continuous learning and improvement.
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About NAVA Software Solutions

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NAVA is a strategic partner for companies seeking to develop or customize software and products. Our team of experts leverages cutting-edge technology and deep industry knowledge to provide customized solutions that drive business success. Whether you're looking to improve your operations, increase efficiency, or bring a new product to market, NAVA has the expertise and resources to help you achieve your goals. Trust us to be your partner in software and product development.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Rocky Hill, CT, US

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