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Remote Data Quality Jobs in Fort Mill, SC (NOW HIRING)

1 point system

QA Engineer (Data)

Fort Mill, SC · Remote

$30/hr

Requirement - QA Engineer (Data) Location- 100% Remote Contract W2 Rate- $30/hr on W2 we are looking for someone who has tested data pipelines and worked with platforms like Databricks, AWS EMR, or ...

Wells Fargo

Lead Data Engineer

Charlotte, NC · On-site +1

$111K - $134K/yr

Enforce data quality, lineage, and observability using standardized metrics, validation rules, and ... Hybrid schedule (3 days in office, 2 days remote) * Work Transparently: You always deal in an ...

1 point system

Data Engineer

Rock Hill, SC · Remote

$117K - $140K/yr

Requirement - Data Engineer Location- USA Remote Contract W2 Assessment test required Assessment ... Monitor data workflows and ensure data quality, consistency, and reliability. Design and implement ...

USAA

Senior Auditor - Data Management

Charlotte, NC · On-site +1

$79K - $97K/yr

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... What you'll do: * Independently execute audit test work with a high level of quality and ...

IQVIA

Senior Data Team Lead (Remote)

Charlotte, NC · Remote

$86K - $217K/yr

You'll ensure quality, accuracy, and compliance while leading cross-functional teams that help ... This is a remote/WFH position with all necessary equipment provided. What You'll Do * Lead data ...

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Remote Data Quality information

See Fort Mill, SC salary details

$14

$36

$62

How much do remote data quality jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for remote data quality in Fort Mill, SC is $36.41, according to ZipRecruiter salary data. Most workers in this role earn between $24.52 and $47.74 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 job categories do people searching Remote Data Quality jobs in Fort Mill, SC look for? The top searched job categories for Remote Data Quality jobs in Fort Mill, SC are:
What cities near Fort Mill, SC are hiring for Remote Data Quality jobs? Cities near Fort Mill, SC with the most Remote Data Quality job openings:
Remote Data Quality jobs near you
Infographic showing various Remote Data Quality job openings in Fort Mill, SC as of August 2026, with employment types broken down into 68% Full Time, 16% Part Time, and 16% Contract. Highlights an 100% Remote job distribution, with an average salary of $75,738 per year, or $36.4 per hour.

QA Engineer (Data)

1 point system

Fort Mill, SC • Remote

$30/hr

Contractor

Posted 25 days ago

Job description

Requirement - QA Engineer (Data)

Location- 100% Remote

Contract W2

Rate- $30/hr on W2

we are looking for someone who has tested data pipelines and worked with platforms like Databricks, AWS EMR, or Spark. Some background in PySpark or Hadoop based data testing would be a big plus for us.
A background mostly on the web and mobile automation side, won't be a great right fit for this role.
If you can find someone with It would be great to see candidates with exposure to areas such as Apache Spark testing, EMR/Databricks/Hadoop-based environments, data validation, and other related Big Data testing activities.

Results-driven Senior QA Engineer with 6 to 8+ years of experience specializing in ETL testing, Big Data validation, Apache Spark testing, and Hadoop ecosystem-based quality engineering. Proven expertise in validating large-scale data pipelines across EMR, Databricks, and distributed data processing environments. Strong background in automation testing (UI, API), database testing, and data integrity validation within enterprise applications. Adept at working in Agile environments, collaborating with cross-functional teams, and ensuring high-quality data-driven systems in production. 
Required Skills -

  • 6+ years of software testing experience in quality engineering, quality assurance or a similar role.
  • Bamboo, and Github experience required
  • Cucumber-TestNG framework using JAVA, Selenium, RestAssured, Maven for UI and API Automation Testing experience preferred.
  • Nunit Framework using C#, Selenium, RestAssured, Nugut for UI and API testing experience preferred.
  • Excellent analytical skills with ability to troubleshoot problems and find root causes.
  • It would be great to see candidates with exposure to areas such as Apache Spark testing, EMR/Hadoop-based environments, data validation, and other related Big Data testing activities.
  • Good hands on experience with quality engineering and strategies.
  • Good experience with test automation, database testing, API testing and Java application testing.
  • Experience with use of AI technologies within testing is preferred.


Core Skills

  • Big Data Testing: Apache Spark, Hadoop, EMR, Databricks
  • ETL Testing & Data Validation: Data pipeline validation, transformation testing, reconciliation
  • Automation: Selenium, Cucumber, TestNG, RestAssured, NUnit
  • API Testing: REST APIs, Postman, RestAssured
  • Database Testing: SQL Server, Oracle, Data validation queries
  • Programming: Java, C#, SQL
  • CI/CD: Bamboo, GitHub
  • Frameworks: BDD (Cucumber), TDD
  • Tools: Maven, Jenkins, JIRA


Job Requirements -

  • 6+ years of software testing experience in quality engineering, quality assurance or a similar role mainly in ETL, Data and Hadoop testing.
  • Bamboo, and Github experience required.
  • Good experience with test automation, API testing and Java application testing.
  • Experience with use of AI technologies within testing is preferred.
  • Cucumber-TestNG framework using JAVA, Selenium, RestAssured, Maven for UI and API Automation Testing experience preferred.
  • Nunit Framework using C#, Selenium, RestAssured, Nugut for UI and API testing experience preferred.
  • Excellent analytical skills with ability to troubleshoot problems and find root causes.
  • HealthCare experience pertaining to Medical Claims processing is preferred.
  • Ability to think “outside of the box”.
  • Flexible in thought and creative in approach to testing.
  • Perform end-to-end ETL testing validating large-scale data pipelines across distributed systems.
  • Design and execute Apache Spark testing strategies to validate transformations, aggregations, and streaming pipelines.
  • Conduct data validation and reconciliation testing between source systems, staging layers, and target data warehouses.
  • Work with the Hadoop ecosystem (HDFS, Hive, Spark) for validating batch and real-time data processing.
  • Validate data pipelines deployed on AWS EMR and Databricks environments ensuring data accuracy and completeness.
  • Develop SQL-based validation frameworks to verify data integrity, consistency, and transformation correctness.
  • 4 Year Degree in Computer Science or Management Information Systems or equivalent
  • Perform complex SQL validation for large datasets.
  • Validate data migration and transformation logic across multiple systems.
  • Ensured data quality, completeness, and accuracy through validation rules and checks.