ZipRecruiter

Log In

2

Remote Data Extraction Jobs in Nottingham, MD (NOW HIRING)

CareFirst

Senior Data Engineer (Remote)

Baltimore, MD · Remote

$105K - $143K/yr

Applies data extraction, transformation and loading techniques in order to connect large data sets from a variety of sources. * Applies and implements best practices for data auditing, scalability ...

CareFirst

Data Associate Engineer (Remote)

Baltimore, MD · Remote

$113K - $136K/yr

Develops and executes ETL code and ensures that the data loading processes are reliable and data quality remains high. ESSENTIAL FUNCTIONS: * Analyzes and validates existing routines and communicates ...

T Rowe Price

Lead Data Engineer

Baltimore, MD · On-site +1

$113K - $136K/yr

Modernize legacy ETL capability to data supply chain solution integrating with Enterprise data ... Work Flexibility This role is eligible for full time remote work.

Booz Allen Hamilton, Inc.

Data Engineer

Aberdeen, MD · On-site +1

$77K - $176K/yr

Remote Work: Yes Job Number: R0243265 Location: Belcamp,MD,US Share job via: Share Additional ... ETL and ELT workflows for reporting and analytics * Experience with PySpark and Spark SQL

Booz Allen Hamilton, Inc.

Data Engineer

Aberdeen, MD · On-site +1

$77K - $176K/yr

Remote Work: Yes Job Number: R0242278 Location: Belcamp,MD,US Share job via: Share Additional ... scalable ETL/ELT workflows for reporting and analytics * Experience with PySpark and Spark SQL

Booz Allen Hamilton, Inc.

Data Engineer

Aberdeen, MD · On-site +1

$77K - $176K/yr

Remote Work: Yes Job Number: R0241931 Location: Belcamp,MD,US Share job via: Share Additional ... scalable ETL/ELT workflows for reporting and analytics * Experience with PySpark and Spark SQL

Elder Research

Senior Data Scientist

Fort George G Meade, MD · On-site +1

$150K - $220K/yr

Meade Posting Date 07/24/2026 Security Clearance Required - TS/SCI + Poly Remote Type N/A Time Type ... Oracle, SQL, and ETL tools. Salary and Benefit Information: The likely salary range for this ...

New

next page

Showing results 1-20

All JobsData Extraction JobsRemote Data Extraction JobsRemote Data Extraction Jobs in Nottingham, MD

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 job categories do people searching Remote Data Extraction jobs in Nottingham, MD look for? The top searched job categories for Remote Data Extraction jobs in Nottingham, MD are:
What cities near Nottingham, MD are hiring for Remote Data Extraction jobs? Cities near Nottingham, MD with the most Remote Data Extraction job openings:
Remote Data Extraction jobs near you
Data Business Analyst - Migration and Integration Analyst (Remote)

Data Business Analyst - Migration and Integration Analyst (Remote)

FEI Systems

Columbia, MD • On-site, Remote

Full-time

Posted 18 days ago

Job description

At FEI Systems, we create innovative technology solutions to improve the delivery of health and human services because we know when cumbersome administrative processes stand in the way, those who need services most are often left without access to proper care and support. From comprehensive case management software to disaster recovery services and content management information systems used in delivering foreign aid, our solutions are improving the lives of millions of people. We're seeking a skilled and detail-oriented Data Business Analyst with strong experience in SQL, data mapping, and systems integration to support data migration and integration initiatives across our platforms. This role will contribute directly to both real-time and batch-mode integrations and will play a critical role in validating the accuracy, completeness, and integrity of migrated and integrated data through structured testing and reporting.
All candidates will be required to complete at least one in-person interview as part of our hiring process.
Principle Responsibilities:
  • Facilitate elicitation sessions with diverse stakeholder groups to gather, analyze, and document data migration and integration requirements.
  • Develop, maintain, and review source-to-target data mapping documentation across systems and environments according with customer-defined standards and templates.
  • Support and coordinate data migration activities, including data extraction, transformation, loading (ETL), reconciliation, and validation processes.
  • Analyze large datasets using SQL to identify data quality issues, patterns, trends, and transformation requirements.
  • Perform detailed data validation and testing, including development of test plans, test cases, and reconciliation of source and target system data.
  • Create and deliver post-migration and post-integration reports to confirm data completeness, accuracy, and success metrics for each migration or integration cycle.
  • Design, document, and support real-time (API-based or event-driven) and batch-based (scheduled or ETL) integration workflows.
  • Document integration logic, data flows, business rules, and test results to support the SDLC, operational readiness and compliance or audit requirements.
  • Support customer user acceptance testing (UAT) by assisting with validation of migrated and integrated datasets.
  • Work cross-functionally with developers, data architects, quality analysts, and business owners to ensure successful end-to-end delivery.
  • Communicate requirements development and management processes clearly to project teams and stakeholders.
  • Use development, planning, and execution tools (e.g. Azure DevOps) to manage the lifecycle of data-related requirements and deliverables.
  • Conduct quality review walkthroughs of data migration and integration documentation and associated test results.
  • Act as a liaison between business stakeholders and technical teams to define appropriate data-driven solutions to business needs.
  • Elicit and document existing current-state and future-state business models and data-related workflows in collaboration with customer subject matter experts.
  • Deliver clear and well-organized presentations to technical and non-technical audiences.
  • Provide client consultation and support on data and integration-related IT topics and recommend appropriate solutions.
  • Provide post-implementation support to validate outcomes and resolve data-related issues.
  • Perform other duties as assigned.

Required Skills/Experience:
  • A Bachelor's degree from an accredited college or university with a major in Computer Science, Information Systems, Engineering, Business, or other related scientific or technical discipline or three (3) years of equivalent professional experience.
  • At least three (3) years of experience working within the Software Development Life Cycle (SDLC), with direct focus on:
    • Large-scale system data migration and transformation, including data mapping, ETL processes, and data quality validation
    • Gap analysis and impact assessment
    • Customer-facing requirements elicitation and definition
    • Authoring business rules, use cases, and documentation of data flows or data streams
    • Data models, data diagrams, relational data structures, and SQL
    • Real-time, near real-time, scheduled, and event-driven system integrations
    • Digital document management, identification, retention and data transfer processes
  • Excellent communication, prioritization, self-management, coordination, and organizational skills
  • Demonstrated experience analyzing, developing, and presenting data-driven solutions to business problems

Preferred Experience:
  • Experience working with healthcare or human services information systems.
  • Experience with at least two of the following system types:
    • Document Management Systems
    • Financial Systems
    • Infrastructure or Platform Support Systems
    • Management Reporting or Analytics Systems
    • Procurement Systems
    • Project, Program, or Portfolio Management Systems
  • Experience supporting initiatives delivered using Waterfall, Agile, and Hybrid SDLC methodologies.
  • Solid understanding of current and emerging IT products, services, processes, and methodologies, along with business functions and operational workflows
  • Experience using one or more commercial or open-source data migration tools

Preferred Tools and Technologies:
  • Relational database platforms such as SQL Server, Oracle, or other RDBMS
  • API testing tools and data exchange formats (e.g., Postman, JSON, XML)
  • Reporting and analysis tools (e.g., Power BI, Excel, SSRS)
  • Project, requirements, and test management tools (e.g., Azure DevOps, SharePoint)

Location: Remote
Status: Full-time position with full company benefits
NOTICE: EO/AA/VEVRAA/Disabled Employer - Federal Contractor. FEI Systems participates in E-Verify, a federal program that enables employers to verify the identity and employment eligibility of all persons hired to work in the United States by providing the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS), with information from each new employee's Form I-9 to confirm work authorization. For more information on E-Verify, please contact DHS at (888) 464-4218.
Applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, marital status, political affiliation, disability, or genetic information, except where it relates to a bona fide occupational qualification or requirement. FEI Systems creates an Affirmative Action Plan on an annual basis. Pursuant to federal law, the portions of FEI Systems' Affirmative Action Program that relate to Section 503 (Persons with Disabilities) and/or Section 4212 (Protected Veterans), are available for inspection upon request by applicants and employees during FEI Systems' normal business hours
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

Apply