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Remote Data Quality Jobs in Spring, TX (NOW HIRING)

Data Engineer

Houston, TX ยท On-site +1

$95K - $130K/yr

Remote Base Salary Range: $95k - $130k General Position Description The Data Engineer is ... The role plays a critical part in ensuring data quality, reproducibility, and traceability so that ...

Data Engineer

Houston, TX ยท On-site +1

$95K - $130K/yr

Remote Base Salary Range: $95k - $130k General Position Description The Data Engineer is ... The role plays a critical part in ensuring data quality, reproducibility, and traceability so that ...

Remote 100% within Texas only Why Us. UT MD Anderson offers the opportunity to lead transformative ... quality and data integrity throughout the Context Engine environment Incorporate metadata ...

BA

Houston, TX ยท Remote

$44 - $68/hr

Hybrid (4 days onsite / Fridays remote) Start Date: ASAP - targeting August 3 Duration: 12-month ... data quality and business outcomes. Day-to-Day Responsibilities: * Lead deployment of new reports ...

Detail-oriented with a strong commitment to data accuracy and quality. * Reliable organizational habits and ability to manage multiple tasks independently. * Ability to work independently in a remote ...

... data quality, development, and effective application of data to drive consistency and efficiency ... Ability to travel up to 25% #LI-JB1 #LI-REMOTE This amount is what we reasonably believe we will ...

Data Analyst

Houston, TX ยท Remote

$40 - $45/hr

NationMind LLC is a technology consulting firm focused on software development and QA testing ... Houston, TX or US Remote Duration: 6-12 months Skills: Data Analytics & Insights : ignio AIOps ...

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Remote Data Quality information

See Spring, TX salary details

$14

$36

$63

How much do remote data quality jobs pay per hour?

As of Aug 2, 2026, the average hourly pay for remote data quality in Spring, TX is $36.87, according to ZipRecruiter salary data. Most workers in this role earn between $24.81 and $48.37 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 are popular job titles related to Remote Data Quality jobs in Spring, TX? For Remote Data Quality jobs in Spring, TX, the most frequently searched job titles are:
What job categories do people searching Remote Data Quality jobs in Spring, TX look for? The top searched job categories for Remote Data Quality jobs in Spring, TX are:
What cities near Spring, TX are hiring for Remote Data Quality jobs? Cities near Spring, TX with the most Remote Data Quality job openings:
Infographic showing various Remote Data Quality job openings in Spring, TX as of July 2026, with employment types broken down into 71% Full Time, 16% Part Time, and 13% Contract. Highlights an 100% Remote job distribution, with an average salary of $76,698 per year, or $36.9 per hour.

Data Engineer

Arva Intelligence

Houston, TX โ€ข On-site, Remote

$95K - $130K/yr

Full-time

Re-posted 16 days ago


Job description

Job Title:                          Data Engineer 

Department:                     Modeling & Analytics

Reports to:                       Lead Modeling Scientist

Location:                          Remote

Base Salary Range:        $95k - $130k

General Position Description

The Data Engineer is responsible for building and scaling the data and computational backbone that supports Arvaโ€™s ecosystem modeling and measurement, reporting, and verification platforms. This role sits within a multidisciplinary Data Science team and focuses on designing reliable, auditable, and scalable data systems that enable biogeochemical modeling and optimization at production scale.

In this role, the Data Engineer will design and maintain production-grade data pipelines that integrate diverse datasets including field measurements, management practices, soils, and weather with process-based ecosystem models. The role plays a critical part in ensuring data quality, reproducibility, and traceability so that scientific outputs can be translated into trusted, credit-grade results with real-world impact.

Primary Job Responsibilities

Data Pipeline and Workflow Development

  • Design, implement, and maintain scalable data pipelines supporting ecosystem and biogeochemical modeling
  • Build reproducible workflows that generate standardized model inputs and manage outputs across space, time, and scenario analysis
  • Integrate heterogeneous datasets, including field data, management data, soil data, and weather data, into modeling pipelines

Cloud Infrastructure and Data Systems

  • Develop and maintain cloud-based infrastructure to support modeling pipelines and optimization workflows
  • Implement data storage solutions using relational, spatial, and object-based databases
  • Support efficient data access and processing using platforms such as PostgreSQL, PostGIS, and cloud object storage

Data Quality, Governance, and Auditability

  • Ensure data quality, versioning, traceability, and auditability to support measurement, reporting, and verification requirements
  • Implement validation and monitoring processes to ensure reliability of model inputs and outputs
  • Support transparent, repeatable workflows suitable for regulatory and credit market review

Software Engineering and Collaboration

  • Write clean, modular, and well-documented production code that supports maintainable and scalable data systems
  • Apply software engineering best practices including testing, version control, and documentation
  • Collaborate closely with Data Science and Technology teams to align data infrastructure with modeling, analytics, and production needs

Key Competencies / Requirements

  • 3+ years demonstrated experience building and maintaining data pipelines for large, complex, and heterogeneous datasets
  • Strong proficiency in Python and modern data engineering tools, with experience writing production-grade, testable code
  • Experience working with cloud platforms, with AWS strongly preferred
  • Familiarity with containerization tools such as Docker and version control systems such as GitHub
  • Experience with relational and spatial databases, including PostgreSQL and PostGIS
  • Experience working with geospatial data formats and spatial data processing
  • Experience supporting scientific or ecosystem modeling workflows preferred
  • Familiarity with workflow orchestration tools such as Airflow or Prefect preferred
  • Bachelorโ€™s or Masterโ€™s degree or equivalent experience in Data Engineering, Computer Science, Environmental Informatics, or a related field