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Data Processing Jobs in Spring, TX (NOW HIRING)

Wesco

Data platform Manager - IT

Houston, TX · Remote

Lead Change Management processes for platform releases, upgrades, and incidents. * Establish and ... Contribute to long-term data and analytics strategy. Qualifications: * Bachelors degree required ...

Pwc

Data Engineer - Senior Associate

Houston, TX

$77K - $202K/yr

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

Corva

Senior Data Scientist

Houston, TX · On-site

Experience working with large-scale data processing frameworks (e.g., Spark) * Strong SQL and database experience Modern ML & Data Practices * Experience with MLOps practices (model versioning ...

NAVA Software Solutions

Lead Data Scientist

Houston, TX · On-site

Lead Data Scientist Location: Houston TX - 4 days onsite Duration: Full time /Direct Hire The Lead ... Ensure analytical insights and products are embedded into business processes. * Ensure use case ...

BlueSprig

Senior Data Engineer

Houston, TX · On-site

$98.90K - $134.30K/yr

Maintain clear technical documentation for data models, pipelines, and processes. * Collaboration : Work directly with clinical operations, finance, and business stakeholders to understand ...

BlueSprig

Senior Data Engineer

Houston, TX

$98.90K - $134.30K/yr

Maintain clear technical documentation for data models, pipelines, and processes. * Collaboration : Work directly with clinical operations, finance, and business stakeholders to understand ...

Deloitte

AI Data Engineer - Manager

Houston, TX · On-site

$109.30K - $131.30K/yr

AI Data Engineer - Manager Our Human Capital practice is at the forefront of transforming the ... Lead the development of AI models (e.g., machine learning, natural language processing, computer ...

Cantor Fitzgerald Securities

Data Analyst

Houston, TX · On-site

Your role will involve maintaining and enhancing our LNG and shipping databases, automating data processes, and providing analytical support. With a focus on global LNG and energy markets, this ...

BlueSprig

Senior Data Engineer

Houston, TX

$98.90K - $134.30K/yr

Maintain clear technical documentation for data models, pipelines, and processes. * Collaboration : Work directly with clinical operations, finance, and business stakeholders to understand ...

Cantor Fitzgerald Securities

Data Analyst

Houston, TX · On-site

Your role will involve maintaining and enhancing our LNG and shipping databases, automating data processes, and providing analytical support. With a focus on global LNG and energy markets, this ...

Phillips 66

Senior Advisor II, Data Architect

Houston, TX · On-site

$65.25 - $87.25/hr

Advanced proficiency in distributed data systems, Spark optimization, and big data processing * Advanced proficiency in data modeling, ETL/ELT design, and performance optimization * Advanced ...

Deloitte

AI Data Engineer - Manager

Houston, TX · On-site

... processing, computer vision) and implement scalable AI solutions. • Collaborate with Enterprise, Application, Data & DevOps teams, Data scientists, Machine Learning & GenAI Engineers, and Business ...

Deloitte

Lead AI and Data Science Engineer - Manager

Houston, TX · On-site

$97.80K - $128.90K/yr

... processing, computer vision) and implement scalable AI solutions. • Collaborate with Enterprise, Application, Data & DevOps teams, Data scientists, Machine Learning & GenAI Engineers, and Business ...

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How much do data processing jobs pay per hour?

As of May 30, 2026, the average hourly pay for data processing in Spring, TX is $18.03, according to ZipRecruiter salary data. Most workers in this role earn between $14.33 and $19.90 per hour, depending on experience, location, and employer.

What is a Data Processing job?

A Data Processing job involves collecting, organizing, and managing data to ensure accuracy and accessibility. Professionals in this role use software tools to input, clean, analyze, and process data for businesses or organizations. They may also generate reports and automate workflows to streamline data handling. Strong attention to detail and proficiency in data management tools are essential for success in this field.

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

To thrive in Data Processing, you need strong analytical abilities, attention to detail, and proficiency with spreadsheets and database management, often supported by an associate's degree or relevant experience. Familiarity with tools like Microsoft Excel, SQL, or data entry software, as well as certifications such as Certified Data Processor (CDP), are frequently expected. Strong organizational skills, time management, and the ability to troubleshoot problems efficiently are valued soft skills. These competencies are crucial for ensuring data accuracy, meeting deadlines, and supporting smooth information operations within an organization.

What are the typical daily responsibilities of someone working in Data Processing?

A typical day for a Data Processing professional involves entering, validating, and updating records in databases or spreadsheets to ensure data integrity. You may also be responsible for generating reports, cleaning large data sets, and identifying discrepancies or errors for correction. Collaboration with team members or departments is common to clarify data requirements and resolve issues. Staying organized and attentive to detail is essential because the quality of processed data can impact decision-making across the organization.

What job makes $10,000 a month without a degree?

In data processing, high-paying roles such as data analysts or data engineers can earn around $10,000 per month, especially with specialized skills in programming, database management, and data analysis tools. These positions often require experience and proficiency in software like SQL, Python, or cloud platforms, but may not always require a formal degree if skills are demonstrated through certifications or a strong portfolio.
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Data Processing jobs near you
Infographic showing various Data Processing job openings in Spring, TX as of May 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $37,512 per year, or $18 per hour.
Sr. Denodo Data Lead / Architect

Sr. Denodo Data Lead / Architect

NAVA Software Solutions

Houston, TX • On-site

Full-time

Posted 13 days ago

Job description

NAVA Software solutions is looking for a Sr. Denodo Lead / Architect
Details:
Sr. Denodo Data Lead / Architect
Location: Houston TX - Onsite
Job Type: Full time /Direct Hire
The Sr. Data Lead / Architect oversees the execution of GST's data delivery strategy utilizing Denodo. They are involved in all phases of the analytic projects, from requirements gathering, data architecture, integration guidance and developing support artifacts. This Sr. Architect demonstrates senior-level leadership skills and experience in guiding the team to build a self-sustainable BI platform. They will create best practices, define and govern data architecture standards, lead and support development efforts, manage BI demand, coordinate resource capacity, prioritize and lead the scoping effort. The ideal candidate has the ability to mentor others in maintainable development practices and code reviews and ensures correct capitalization / expense activities of the project team and can provide business insight across multiple domains. This Sr. Architect will demonstrate an ability to manage complex, high-quantity and potentially contradictory information to effectively solve problems, applies knowledge of the business to advance organizational goals, and intuitively navigates complex policy, people and process-related organizational dynamics.
Essential Functions
Engagement
  • Collect feedback and influence users and stakeholders to prioritize and develop data-centric work products and support requests.
  • Work with internal (IT technical and functional) and external (vendor) partners to source, review, and deliver data-related solutions for projects.
  • Create and track KPIs for enterprise data virtualization service capability to share with management and user community.
  • Ability to drive the architecture, design along with experience in leading the team technically

Architecture
  • Refine the current Denodo deployment with sound data architecture that delivers data for Analytics, BI and Applications via services
  • Ensure data security is maintained throughout the user, application, platform, and data layers.
  • Design integration with front-end tools (Tableau, custom apps) and back-end applications and data (e.g. SAP).

Process
  • Establishes process for Architecture review, code review and development process for the Denodo engineers.
  • Continuously refines the processes by measuring process related KPIs.

Development
  • Maintain and extend agile data development methodology in support of both self-service and full-service models.
  • Create reusable semantic and report-specific data layers that are secure and performant.
  • Develop techniques for optimizing solutions, including caching, refactoring, performance, and testing.
  • Define data catalogues.

Admin/Support
  • Troubleshoot issues that may occur within the data platform or in consuming apps/tools and data sources.
  • Ensure SLAs are developed and met for response and resolution times for business-critical data platform.
  • Establish and implement operations (e.g. monitoring and logging) to keep platform (multiple Windows servers) stable and up-to-date (i.e. quarterly updates and periodic upgrades).

Works under minimal supervision
  • Other duties as assigned.
  • Responsibly receive, transmit, and handle consumer and customer data per applicable policies and procedures.
  • Review and follow data privacy practices, policies, and guidelines.

Supervisory Responsibilities
Directly supervises one or more employees. Carries out responsibilities in accordance with the organization's policies and applicable laws. Responsibilities include interviewing, hiring, and training employees, planning, assigning, and directing work, appraising performance, rewarding and disciplining employees, addressing complaints and resolving problems.
Qualifications
A bachelor's degree in Computer Science, Information Systems, or a related field is preferred. Equivalent work experience may be considered in lieu of a degree.
  • 8+ years of hands-on experience in data modeling and SQL, with a strong emphasis on designing and implementing data architectures.
  • 3+ years of experience working with Denodo or similar data virtualization platforms is highly desirable.
  • Experience with AWS and Databricks or similar data engineering platforms is a plus, particularly in the context of large-scale data processing and analytics.
  • Experience with other data integration technologies or platforms is a plus, particularly in complex, enterprise-level environments.

Technical Experience
  • Strong understanding of Data Virtualization principles with 3+ years of hands-on experience in Denodo administration and development, including installation, configuration, security, and cache management in a highly available enterprise environment.
  • Expertise in Denodo-specific features, including Data Catalog for metadata management, Data Movement for efficient data replication and distribution, and Resource Manager for optimizing resource allocation and ensuring high performance.
  • Comprehensive experience in data modeling, including business, logical, conceptual, and physical models, with 3+ years of hands-on practice in designing and implementing these models across various data environments.
  • 6+ years of SQL experience with demonstrated ability to optimize queries and manage large-scale data processing.
  • Familiarity with LDAP, SSL, and other security protocols to ensure secure data access.
  • Experience with JDBC, XML, and Web Services APIs, with a focus on integrating diverse data sources.
  • Basic understanding of SAP apps, including CDS views, BW queries, and HANA databases, with the ability to integrate these into broader data architectures.
  • Working knowledge of cloud-based data solutions, particularly in hybrid environments integrating on-premise systems (e.g., HANA, SQL Server). Experience with AWS cloud services (e.g., S3, RDS, Redshift, Lambda) is a plus.
  • Exposure to Databricks or similar data engineering platforms is a plus, especially in the context of data processing and analytics.
  • Experience in query optimization, including analysis of SQL execution plans, particularly in heterogeneous environments.
  • Familiarity with version control systems like GIT is a plus.

Soft Skills
  • Problem-Solving and Complexity Management: Effectively manages complexity and ambiguity to find innovative solutions and solve problems.
  • Results-Oriented: Drives results by consistently achieving task completion and project closure, even in the face of challenges.
  • Adaptability: Thrives in a fast-paced environment, demonstrating flexibility and the ability to adjust to varying timelines and priorities.
  • Attention to Detail and Prioritization: Exhibits strong attention to detail while maintaining the ability to prioritize tasks effectively in alignment with business goals.
  • Interpersonal and Team Skills: Promotes healthy relationships and positive team dynamics through strong interpersonal skills.
  • Strategic Planning and Alignment: Demonstrates the ability to plan and align work with organizational priorities, emphasizing a sense of urgency where needed.
  • Business Insight and Influence: Leverages business knowledge to provide valuable insights and influence stakeholders effectively.
  • Leadership and Mentorship: Capable of mentoring team members and guiding them through complex technical challenges.

CERTIFICATES, LICENSES, REGISTRATIONS
  • Desirable: Denodo Platform Certification (Architect level) or equivalent experience with demonstrated proficiency in Denodo administration and development.
  • Desirable: Certification in data architecture, Databricks (e.g., Databricks Certified Data Engineer), or other relevant data virtualization platforms.
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About NAVA Software Solutions

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NAVA is a strategic partner for companies seeking to develop or customize software and products. Our team of experts leverages cutting-edge technology and deep industry knowledge to provide customized solutions that drive business success. Whether you're looking to improve your operations, increase efficiency, or bring a new product to market, NAVA has the expertise and resources to help you achieve your goals. Trust us to be your partner in software and product development.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Rocky Hill, CT, US

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