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Data Quality Jobs in Spring, TX (NOW HIRING)

Arva Intelligence

Data Engineer

Houston, TX · On-site +1

$95K - $130K/yr

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.

Baths of America

Product Data Manager

Houston, TX · On-site

Establish minimum data quality thresholds for product pages to remain published on the website * Own the translation of business and operational needs into structured data specifications. * Document ...

Baths of America

Product Data Manager

Houston, TX · On-site

Establish minimum data quality thresholds for product pages to remain published on the website * Own the translation of business and operational needs into structured data specifications. * Document ...

NAVA Software Solutions

QA Engineer

Houston, TX · On-site

Focused on Data Validation * Strong SQL skills * Any tools for data quality/ validation ... Experience with data visualization tools helpful but not required: PowerBI, Tableau, & Cognos

swipejobs LLC

Data Engineer

Houston, TX · On-site

$80/hr

Implement ETL processes, optimize database performance, and ensure data quality and accessibility for analytics and machine learning applications. $80.00 / hr LI23 LILive24 Company Description ...

Saransh Inc

Data Governance Lead

Houston, TX · On-site

... data quality monitoring, and issue remediation workflows. • Ability to assess and improve AI/analytics tool interoperability, prioritize integrations, and establish standards aligned access and ...

Rysun Labs Inc

Data Engineer

Houston, TX · On-site

$60/hr

Rysun believes in quality-first and is CMMI Level 5, ISO 9001 & 27001 certified. The team has a ... Data Engineer Location: Houston Tx Experience: 47 Years Mandatory Certification: * Databricks ...

McKesson

Lead Data Architect

The Woodlands, TX · Remote

Familiarity with data governance frameworks, data quality management, and * master data management (MDM) principles. * Integration of external data sources, SFTP-based ETL, and real-time pipelines.

McKesson

Lead Data Architect

The Woodlands, TX · Remote

Familiarity with data governance frameworks, data quality management, and * master data management (MDM) principles. * Integration of external data sources, SFTP-based ETL, and real-time pipelines.

Bray Architects

Master Data Management Architect

Houston, TX · On-site

$60.75 - $78.25/hr

Ensure high data quality, usability, and accessibility across integrated enterprise platforms. * Collaborate with IT and business teams to translate data requirements into technical designs and ...

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All JobsData Quality JobsData Quality Jobs in Spring, TX

Data Quality information

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How much do data quality jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for 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.

Is data quality a good career?

Data quality is a valuable career path involving ensuring the accuracy, consistency, and reliability of data within organizations. Professionals in this field often work with data management tools, perform audits, and may pursue certifications like Certified Data Management Professional (CDMP). It offers opportunities across industries such as finance, healthcare, and technology with steady demand for skilled data quality specialists.

Is 40 too late for data science?

Data science is a field open to professionals of all ages, and starting at 40 is not too late. Success depends on acquiring relevant skills such as programming, statistics, and tools like Python or R, along with practical experience. Many individuals transition into data science later in their careers and find opportunities based on their expertise and continuous learning.

What is the highest paying data job?

The highest paying data jobs often include Data Science Director, Chief Data Officer, or Data Engineering Manager roles, which can earn six-figure salaries or higher depending on experience, industry, and location. These positions typically require advanced skills in data analysis, machine learning, and leadership, along with relevant certifications or degrees.

What are the key skills and qualifications needed to thrive in the Data Quality position, and why are they important?

To thrive in a Data Quality role, you need expertise in data analysis, attention to detail, knowledge of data governance, and often a bachelor's degree in a related field such as computer science or information systems. Familiarity with tools like SQL, data profiling software, and data quality management platforms, as well as certifications like CDMP (Certified Data Management Professional), is highly valued. Strong problem-solving abilities, effective communication, and a collaborative mindset help professionals excel in this position. These skills are crucial for ensuring accurate, reliable data that supports business decision-making and overall organizational efficiency.

What is a Data Quality job?

A Data Quality job involves ensuring that data is accurate, consistent, and reliable for business use. Professionals in this role develop and enforce data quality standards, identify and resolve data discrepancies, and implement processes for data validation and cleansing. They often work with databases, data governance frameworks, and analytics teams to maintain high-quality data. This role is essential for organizations relying on data-driven decisions, as poor data quality can lead to incorrect insights and inefficiencies.

What are the typical challenges faced by someone working in a Data Quality role?

Professionals in Data Quality roles often encounter challenges such as identifying inconsistent data sources, addressing missing or inaccurate data, and maintaining data standards as systems and business requirements evolve. Working closely with IT, data analysts, and business stakeholders, Data Quality specialists must resolve data discrepancies while balancing the need for accuracy with project deadlines. These challenges require excellent analytical and troubleshooting skills, as well as the ability to communicate data issues clearly across teams. Overcoming these hurdles is key to ensuring data-driven decisions are based on trustworthy information.

What is a data quality job?

A data quality job involves ensuring the accuracy, completeness, consistency, and reliability of data within an organization. Professionals in this role often use tools like data profiling and validation software, and may hold certifications such as Certified Data Management Professional (CDMP). The work typically requires attention to detail and understanding of data governance standards.
What are the most commonly searched types of Data Quality jobs in Spring, TX? The most popular types of Data Quality jobs in Spring, TX are:
What are popular job titles related to Data Quality jobs in Spring, TX? For Data Quality jobs in Spring, TX, the most frequently searched job titles are:
What job categories do people searching Data Quality jobs in Spring, TX look for? The top searched job categories for Data Quality jobs in Spring, TX are:
What cities near Spring, TX are hiring for Data Quality jobs? Cities near Spring, TX with the most Data Quality job openings:
Data Quality jobs near you
Infographic showing various Data Quality job openings in Spring, TX as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $76,698 per year, or $36.9 per hour.

Data Engineer

Arva Intelligence

Houston, TX • On-site, Remote

$95K - $130K/yr

Other

Posted 25 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 Arva'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
  • Bachelor's or Master's degree or equivalent experience in Data Engineering, Computer Science, Environmental Informatics, or a related field

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