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Remote Data Quality Jobs in Greer, SC (NOW HIRING)

GDCC West

Data Collection Specialist

Greenville, SC · Remote

$10.50/hr

... quality data collection services for the market research industry. With offices and remote teams ... around the world, GDCC partners with major research firms to deliver reliable insights through ...

Mondo

ETL Lead

Greenville, SC · Remote

$60 - $64/hr

Remote (Greenville, SC preferred; onsite required first week for training) Start Date: ASAP ... Familiarity with data governance frameworks, data quality observability tools, and enterprise data ...

JLL

Project Manager - Construction

Greenville, SC · Remote

... data quality, and stay within budget. This position offers the opportunity to work directly with ... Location: Remote (North Carolina or South Carolina residents only) with regular travel required ...

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All JobsData Quality JobsRemote Data Quality JobsRemote Data Quality Jobs in Greer, SC

Remote Data Quality information

See Greer, SC salary details

$15

$39

$68

How much do remote data quality jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for remote data quality in Greer, SC is $39.84, according to ZipRecruiter salary data. Most workers in this role earn between $26.83 and $52.21 per hour, depending on experience, location, and employer.

What is the difference between Remote Data Quality vs Remote Data Analyst?

AspectRemote Data QualityRemote Data Analyst
Required CredentialsData quality certifications, SQL, data management skillsData analysis certifications, SQL, statistical skills
Work EnvironmentFocus on data accuracy, validation, and cleansingFocus on data interpretation, reporting, and insights
Employer & Industry UsageUsed in data governance, compliance, and database managementUsed in business intelligence, marketing, and operations

Remote Data Quality specialists primarily focus on ensuring data accuracy, consistency, and integrity within databases, often working on data validation and cleansing. Remote Data Analysts interpret data sets to generate reports and insights for decision-making. While both roles require strong SQL and data management skills, Data Quality roles emphasize data validation processes, whereas Data Analysts focus on analysis and visualization.

What cities near Greer, SC are hiring for Remote Data Quality jobs?

Cities near Greer, SC with the most Remote Data Quality job openings:

Remote Data Quality jobs near you
Infographic showing various Remote Data Quality job openings in Greer, SC as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, 3% Contract, and 1% Nights. Highlights an 88% Physical, 1% Hybrid, and 11% Remote job distribution, with an average salary of $82,869 per year, or $39.8 per hour.

Clinical Data Scientist

RedSail Technologies, LLC

Spartanburg, SC • On-site, Remote

$140K - $145K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 3 hours ago

Key responsibilities

  • Gather and preprocess data from various sources to ensure data quality and reliability.

  • Analyze data through exploration, visualization, and statistical methods to identify patterns and insights.

  • Present findings and insights to stakeholders and collaborate with domain experts to align data analysis with business goals.

Job description

Clinical Data ScientistJob Summary

The RedSail Advantage Solutions has the primary mission to create incremental value streams for RedSail through the development and activation of Clinical, Financial, & Operational Programs that leverage our uniquely integrated technology platforms as well as our associated reach within the targeted market segments. The Clinical Data Scientist, will participate in the making use of RedSail’s data to evaluate and establish various impactful programs to accomplish and assist with the measurement of program effectiveness against the department objectives.

Key Duties
  • Data Collection: Gathering data from various sources, such as databases, APIs, web scraping, and more. This can involve collecting structured and unstructured data.
  • Data Cleaning: Preprocessing the collected data to handle missing values, remove duplicates, correct inconsistencies, and address outliers. This step ensures data quality and reliability.
  • Data Exploration (Exploratory Data Analysis, EDA): Analyzing the main characteristics of the data often through visualization and summary statistics. This helps in understanding data distributions, relationships between variables, and identifying patterns or anomalies.
  • Data Transformation: Modifying data into a suitable format for analysis, such as normalization, standardization, or creating new features (feature engineering).
  • Data Visualization: Creating visual representations of data, such as graphs, charts, and dashboards, to communicate findings effectively. Tools like Matplotlib, Seaborn, and Tableau are commonly used.
  • Statistical Analysis: Applying statistical methods to understand data distributions, test hypotheses, and infer relationships. This can include t-tests, chi-square tests, ANOVA, and regression analysis.
  • Data Communication: Presenting findings, insights, and recommendations to stakeholders through reports, presentations, and storytelling. Effective communication is crucial for decision-making.
  • Collaboration with Domain Experts: Working with professionals from various fields to ensure that the data science approach aligns with business goals and that the results are meaningful and actionable.
  • Keeping Up with Industry Trends: Continuously learning and adapting to new tools, technologies, and methodologies in data science to stay current and effective in the field.
  • Ethical Considerations and Compliance: Ensuring that data usage complies with ethical standards and legal regulations, such as data privacy laws (e.g., HIPAA)
Education/Training
  • Bachelor’s degree in Data Science, Data Engineering, or similar data relevant computer science/software development degree. Doctor of Pharmacy with data credentials or extensive data experience may substitute for formal education in Data Science.
Required Work Skills/Experience
  • Pharma/Pharmacy/Healthcare experience.
  • Experience programming with SQL scripting.
  • Experience with data analytics visualization tools such as PowerBI and Tableau.
  • Ability to transform complex data across multiple platforms into concise datasets.
  • Ability to visualize data in the most effective way possible for a given project or study.
  • Strong analytical and problem-solving skills; inquisitive.
  • Ability to work independently and with team members from different backgrounds and collaborative styles.
  • Excellent attention to detail with critical thinking skills.
Preferred Work Skills/Experience
  • A combination of both Doctor of Pharmacy and degree in Data Science, Data Engineering, or similar data relevant computer science/software development degree (i.e. Pharmacist Data Scientist) strongly preferred.
  • 2 years of experience as a Data Analyst, Data Scientist or Data Engineer.
  • Experience with Pharma/Pharmacy transactions.
  • Experience programming with Python or Go Lang.
Discretionary Judgement
  • Uses independent judgment and discretion based upon the employee’s experience in the position and knowledge of the products, equipment, and services.
  • Uses good judgment and possesses ethical work values.
Physical Demands/Working Conditions/General Employment
  • Moderate or high stress levels may be experienced in the job performance.
  • Position is performed in a general office environment, home office, or approved remote workspace where physical work includes, but is not limited to, sitting, standing, reaching, kneeling, bending, and lifting to 25 lbs.
Equipment
  • Daily use of Microsoft Teams (phone), computer, printer, and other routine office equipment.
  • Must have reliable and consistent internet access.
Safety to Self and Others
  • Little responsibility for the safety of others. Job is performed in an office setting where there are no hazardous materials or equipment.
Working Conditions/Hazards
  • Position is performed in an open office environment or approved remote work location.
Compensation & Total Rewards
  • The anticipated base salary range for this position is $140,000-$145,000 annually. This position is also eligible for an annual target bonus of 4%. Actual compensation will be determined based on factors including relevant experience, skills, qualifications, and geographic location.
  • Benefits include paid time off, medical, dental, and vision insurance, a 401(k) with a 5% company match, a fitness bonus, professional development opportunities, and programs that support overall well-being.
Work Location
  • Hybrid at a RedSail Office
    • Spartanburg, SC
    • Irving, TX
    • Shreveport, LA
    • Oak Brook, IL
    • Cranberry Township, PA
    • Long Island, NY

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