ZipRecruiter

Log In

2

Remote Data Extraction Jobs in Philadelphia, PA (NOW HIRING)

Rhythmedix

Data Manager

Mount Laurel, NJ · Remote

$115K - $130K/yr

NJ preferred Hybrid / Remote (possible) COMPANY OVERVIEW: RMX Holdco, Inc. and Subsidiaries (AKA ... data extraction, modeling, report creation, and Power BI development. The individual will be ...

Troutman Pepper

Senior Data Engineer

Philadelphia, PA · Remote

$107K - $145K/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 ...

Troutman Pepper

Senior Data Engineer

Wilmington, DE · Remote

$102K - $139K/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 ...

QVC

Data Engineer

West Chester, PA · Remote

$108K - $130K/yr

Where You'll Work This role is remote; job seekers must reside in one of the following states to be ... ETL, and database design. * Experience developing data engineering processes and SQL proficiency.

Arctiq

Senior Database Developer

Philadelphia, PA · Remote

This is a remote, contract opportunity for one of Arctiqs clients working EST hours. Position ... Develop, manage, and optimize ETL workflows using SSIS to support data migration, integration, and ...

Arctiq, Inc.

Senior Database Developer

Philadelphia, PA · On-site +1

This is a remote, contract opportunity for one of Arctiq's clients working EST hours. Position ... Develop, manage, and optimize ETL workflows usingSSIS to support data migration, integration, and ...

Arctiq

Senior Database Developer

Philadelphia, PA · Remote

This is a remote, contract opportunity for one of Arctiq's clients working EST hours. Position ... Develop, manage, and optimize ETL workflows using SSIS to support data migration, integration, and ...

next page

Showing results 1-20

All JobsData Extraction JobsRemote Data Extraction JobsRemote Data Extraction Jobs in Philadelphia, PA

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 Philadelphia, PA? The most popular types of Data Extraction jobs in Philadelphia, PA are:
What are popular job titles related to Remote Data Extraction jobs in Philadelphia, PA? For Remote Data Extraction jobs in Philadelphia, PA, the most frequently searched job titles are:
What job categories do people searching Remote Data Extraction jobs in Philadelphia, PA look for? The top searched job categories for Remote Data Extraction jobs in Philadelphia, PA are:
Remote Data Extraction jobs near you
Infographic showing various Remote Data Extraction job openings in Philadelphia, PA as of July 2026, with employment types broken down into 74% Full Time, and 26% Contract. Highlights an 100% Remote job distribution.
JB061757 - HEDIS Data Analyst (SQL)

JB061757 - HEDIS Data Analyst (SQL)

USM

Philadelphia, PA • On-site, Remote

Contractor

This job post has expired today. Applications are no longer accepted.

Job description

  • Start Date: Interview Types
  • Skills Healthcare Effective.. Visa Types US Citizen

    • Job Title: HEDIS Data Analyst (SQL)
    Location: Philadelphia ,PA - Hybrid - 3 Days a week in the office/ Remote
    Duration: Long-Term Contract
    Job Summary
    We are seeking a detail-oriented HEDIS Data Analyst with strong SQL skills to support Healthcare Effectiveness Data and Information Set (HEDIS) reporting, quality improvement initiatives, and healthcare data analysis. The ideal candidate will have experience working with healthcare data, analyzing HEDIS measures, validating data accuracy, and developing SQL queries to support reporting, compliance, and performance improvement.
    Key Responsibilities
    • Analyze and validate HEDIS (Healthcare Effectiveness Data and Information Set) measures to support quality improvement and regulatory reporting.
    • Develop, write, optimize, and maintain complex SQL queries for healthcare data extraction, validation, and reporting.
    • Perform data analysis to identify trends, gaps in care, and opportunities for quality improvement.
    • Validate data accuracy and ensure compliance with HEDIS specifications and organizational standards.
    • Collaborate with quality, clinical, business, and IT teams to support HEDIS reporting initiatives.
    • Perform data reconciliation, quality assurance, and root cause analysis of data discrepancies.
    • Support annual HEDIS submission activities, including data validation and audit preparation.
    • Create reports, dashboards, and data summaries to support leadership decision-making.
    • Monitor data quality and recommend process improvements to improve reporting accuracy.
    • Document SQL queries, data mapping, business rules, and reporting processes.
    • Assist with troubleshooting data issues and resolving reporting discrepancies.
    • Ensure compliance with HIPAA and healthcare data privacy regulations.

    Required Qualifications
    • Bachelor's degree in Computer Science, Information Systems, Healthcare Informatics, Data Analytics, or a related field (or equivalent experience).
    • 3+ years of experience working with HEDIS reporting or healthcare quality data.
    • Strong hands-on experience writing and optimizing SQL queries.
    • Experience analyzing large healthcare datasets.
    • Knowledge of HEDIS measures, quality reporting, and healthcare data standards.
    • Strong analytical, problem-solving, and data validation skills.
    • Excellent communication and documentation skills.

    Preferred Qualifications
    • Experience with managed care, health plans, or payer organizations.
    • Familiarity with NCQA HEDIS specifications and reporting guidelines.
    • Experience with healthcare data warehouses and reporting tools.
    • Knowledge of claims, provider, member, and clinical data.
    • Experience with ETL processes and data integration.
    • Experience with BI tools such as Power BI, Tableau, or SSRS.

    Required Skills
    • HEDIS (Healthcare Effectiveness Data and Information Set)
    • SQL
    • Database Querying
    • Healthcare Data Analysis
    • Data Validation
    • Data Quality
    • Reporting & Analytics
    • Healthcare Quality Measures
    • Claims Data Analysis
    • Clinical Data Analysis
    • NCQA HEDIS Guidelines
    • Data Reconciliation
    • Root Cause Analysis
    • Dashboard Development
    • HIPAA Compliance
    • Microsoft SQL Server / Oracle / PostgreSQL (as applicable)
    • Problem Solving
    • Documentation
    • Healthcare Informatics
    Quality Improvement

    Apply