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Remote Data Extraction Jobs in Arkansas (NOW HIRING)

Remote Reporting Relationships: This position reports to CareAbout Health's SVP Medical Economics ... Solid understanding of data warehousing, ETL / ELT processes, SQL, data lineage, metadata, master ...

Sr. Data Engineer

Bentonville, AR · Remote

$120K - $150K/yr

As a remote-first company, most of our positions can be remote in the US, except for key roles ... In depth knowledge of multiple data sources, data design patterns, ETL transformation, SQL and ...

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 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 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 job categories do people searching Remote Data Extraction jobs in Arkansas look for? The top searched job categories for Remote Data Extraction jobs in Arkansas are:
Infographic showing various Remote Data Extraction job openings in Arkansas as of July 2026, with employment types broken down into 1% As Needed, 87% Full Time, 9% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago


Job description

New York, New York 10036

Company Description

CareAbout Health is a managed services organization (MSO) that provides expert advice, resources, tools, and other support to its portfolio of medical groups and healthcare focused companies. CareAbout Health is helping align incentives to create a world where patients, providers, and payers work together in a seamless, coordinated manner toward common goals: higher quality, lower cost, better outcomes.

Role Title: Data Steward

FLSA Category: Exempt Role

Role Location: Remote

Reporting Relationships:

This position reports to CareAbout Health's SVP Medical Economics.

Role Summary and Responsibilities:

The Data Steward will lead CareAbout Health's data stewardship and data governance efforts, bridging technical execution and business utility across Data Engineering, Medical Economics, Clinical, Quality, and Operations teams.

  • Establish and maintain the enterprise data catalog and define standard operating procedures that support high-quality, well-documented, and usable healthcare data.
  • Lead a small team, ensuring inbound data is handled diligently, issues are identified and resolved timely, and work is aligned to business priorities.
  • Document and map the current state of the data ecosystem, design a pragmatic future state, and manage the phased transition plan between the two.

Key Responsibilities / Essential Functions:

  • Manage the work of outsourced data ingestion resources, including intake prioritization, quality review, issue escalation, timely follow-up, and coordination with internal stakeholders.
  • Establish and manage a transparent framework to balance competing data requests, cataloging priorities, and governance needs across Engineering, Medical Economics, Clinical, Quality, and Operations teams.
  • Act as a translator and point of alignment between technical teams and business / operational stakeholders to ensure data governance practices support usability, compliance, and business decision-making.
  • Partner with Data Engineering to oversee governance of data ingestion pipelines, ensuring data quality, lineage, metadata, and ownership are captured at the point of entry.
  • Lead the selection, implementation, rollout, and adoption of an enterprise data catalog tool, prioritizing critical data assets used by Medical Economics, Clinical, Quality, and Operations teams.
  • Author, implement, and maintain standard operating procedures for data ingestion governance, metadata standards, access control, master data management, and issue triage.
  • Design and maintain a data quality / governance incident reporting process to capture, track, resolve, and trend data anomalies identified by downstream users.
  • Create reporting structures and metrics that track data quality over time, identify recurring problem areas, and support continuous improvement.
  • Build strong working relationships with key leads and users across Engineering, Medical Economics, Clinical, Quality, and Operations to support adoption of data governance standards.
  • Support governance of healthcare data sets, including claims data, EHR / clinical data, risk adjustment, utilization, quality metrics, and other data used in value-based care and medical economics analyses.
  • Train and support cross-functional teams on new data governance SOPs, catalog workflows, escalation pathways, and data quality expectations.
  • Perform additional duties as assigned.

Qualifications

  • BA/BS required in Data Management, Information Systems, Business Analytics, Healthcare, Computer Science, Statistics, or a related discipline; master's degree preferred.
  • 5+ years of dedicated experience in data management, data stewardship, data governance, data engineering, analytics, or related healthcare data functions required.
  • Experience leading, coordinating, or managing the work of small teams, contractors, or outsourced resources required.
  • Strong background working with healthcare data, including claims data, EHR / clinical data, risk adjustment, utilization, quality metrics, or value-based care data required.
  • Hands-on experience with modern data catalog or metadata management tools such as Collibra, Alation, Atlan, or similar platforms preferred.
  • Solid understanding of data warehousing, ETL / ELT processes, SQL, data lineage, metadata, master data management, and data quality controls required.
  • Experience developing and implementing SOPs, governance workflows, metadata standards, access controls, data quality standards, or stewardship procedures required.
  • Strong project management skills, including structured thinking, documentation, prioritization, issue tracking, milestone management, and stakeholder follow-up.
  • Proven ability to take complex, ambiguous current-state environments and build toward a defined, scalable future state.
  • High attention to detail and ability to identify, document, investigate, and resolve data quality issues through disciplined processes.
  • Strong communication and interpersonal skills, with the ability to build consensus and manage competing priorities across technical, clinical, operational, and leadership stakeholders.
  • High level of proficiency with MS Office, with an emphasis on Excel and PowerPoint, required.
  • Adaptable to change in the organizational environment and comfortable operating in a developing data governance function.

Physical Requirements

  • Mainly sedentary.
  • Sitting at the desk most of the day.
  • Standing or walking less than two hours per day.
  • Lifting no more than ten pounds on rare occasions.
  • Must be able to work at a computer and answer phone calls on a regular basis.

Featured Benefits:

  • Health, dental, and vision insurance.

  • 401K with automatic employer contribution.

  • PTO and Paid Holidays.

  • Company paid Life Insurance.

  • Access to voluntary short and long-term disability insurance.

  • Access to additional life insurance.

  • Access to a variety of Wellness programs.

CareAbout Health is committed to providing an environment of mutual respect where equal opportunities are available to all applicants and employees without regard to actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, related medical conditions and lactation), gender identity or gender expression (including transgender status), sexual orientation, marital status, military service and veteran status, disability, protected medical condition as defined by applicable state or local law, genetic information, or any other characteristic protected by applicable federal, state, or local laws and ordinances (referred to as "protected characteristics").

We are interested in every qualified candidate who is legally able to work in the United States without sponsorship. We cannot offer any visa sponsorship now at this time.

Compensation is based on the level and requirements of the role.

Salary within our ranges may also be determined by your education, experience, knowledge, skills, abilities, and location, as required by the role, as well as internal equity and alignment with market data.