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Data Processing Jobs in Spring, TX (NOW HIRING)

Architect and optimize ETL/ELT pipelines for batch and real-time processing. * Collaborate with business stakeholders and technical teams to define data strategies and solutions. * Ensure data ...

Within our Technology Consulting practice, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for ...

Azure Data Engineer (Houston, TX)

Houston, TX · On-site

$109K - $131K/yr

Python, NoSQL, SQL, R, and competent in source code management Build processes supporting data transformation, data structures, metadata, dependency, and workload management Create data validation ...

Data Engineer

Houston, TX · On-site

$110K - $133K/yr

Experience with Spark, PySpark, or similar distributed data processing frameworks. * Databricks or cloud data engineering certification (or equivalent hands-on experience). * Experience working with ...

Azure Data Engineer (Houston, TX)

Houston, TX · On-site

$109K - $131K/yr

Automate data processing of data from multiple data sources * Develop, deploy and version control code for data consumption, reuse for APIs * Employ machine learning techniques to create and sustain ...

Data Engineer

Houston, TX · On-site

$110K - $133K/yr

Experience with Spark, PySpark, or similar distributed data processing frameworks. * Databricks or cloud data engineering certification (or equivalent hands-on experience). * Experience working with ...

Data Engineer

Houston, TX · On-site

$110K - $133K/yr

Experience with Spark, PySpark, or similar distributed data processing frameworks. * Databricks or cloud data engineering certification (or equivalent hands-on experience). * Experience working with ...

Lead Data Engineer

Houston, TX · On-site

$97K - $128K/yr

Strong experience working with Databricks for large-scale data processing and analytics. * Experience developing and maintaining ETL/ELT pipelines that support enterprise reporting and analytics.

New

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Designs and builds data pipelines and ETL processes to deliver reliable, scalable data solutions. Collaborates with Data Analysts, developers, and business stakeholders to ensure high-quality data ...

Data Engineer

Houston, TX

$109K - $131K/yr

Designs and builds data pipelines and ETL processes to deliver reliable, scalable data solutions. Collaborates with Data Analysts, developers, and business stakeholders to ensure high-quality data ...

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Designs and builds data pipelines and ETL processes to deliver reliable, scalable data solutions. Collaborates with Data Analysts, developers, and business stakeholders to ensure high-quality data ...

Responsibilities - Designing and implementing data infrastructure and systems to facilitate efficient data processing and analysis - Developing and maintaining data pipelines, integration, and ...

Data Architect

Bellaire, TX · On-site

$57.25 - $73.75/hr

Familiarity with various operating systems and data processing techniques. A working knowledge of diverse hardware and software environments is necessary, along with an understanding of architecting ...

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Data Processing information

See Spring, TX salary details

$10

$18

$31

How much do data processing jobs pay per hour?

As of Jul 14, 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 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 is a data processing job role?

A data processing job involves collecting, organizing, and converting raw data into a usable format for analysis or reporting. It often requires skills in data management tools, attention to detail, and knowledge of data formats and software such as Excel, SQL, or specialized processing programs.

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 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.

Is AI replacing data entry jobs?

AI is automating many data entry tasks by using machine learning and optical character recognition, which can increase efficiency and reduce manual labor. However, data processing jobs still require human oversight for complex or unstructured data, and roles involving data validation, analysis, and management remain essential. Professionals in data processing should develop skills in AI tools and data management to stay relevant.

What is the highest paying job in data?

In data-related fields, roles such as Data Science Director, Chief Data Officer, or Senior Data Architect tend to have the highest salaries, often exceeding six figures annually. These positions typically require advanced skills in data analysis, machine learning, and leadership, along with extensive experience and relevant certifications.
What are popular job titles related to Data Processing jobs in Spring, TX? For Data Processing jobs in Spring, TX, the most frequently searched job titles are:
What cities near Spring, TX are hiring for Data Processing jobs? Cities near Spring, TX with the most Data Processing job openings:
Infographic showing various Data Processing 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 $37,512 per year, or $18 per hour.

Data Technical Architect

Rysun Labs Inc

Houston, TX • On-site

$70/hr

Full-time

Medical, Dental, Vision, PTO

Posted 19 days ago


Job description

Benefits:
  • Dental insurance
  • Health insurance
  • Paid time off
  • Training & development
  • Vision insurance

Rysun Labs (formerly KCS Krish Compusoft Services) is an AI, Data & Digital innovation partner of choice for enterprises. Rysun guides and accelerates the AI & Data strategy and Digital Transformation programs for Fortune 2000 enterprises and product startups to shape remarkable customer experiences and intelligent operations. The team delivers innovative, specialized solutions that help High-tech, Retail & Ecommerce, and Energy companies to outperform competition and lead the change in their industry. Rysun partners with Microsoft, Google and AWS to bring the best of enterprise technology to its customers. Rysun believes in quality-first and is CMMI Level 5, ISO 9001 & 27001 certified. The team has a growth mindset fueled by a strong culture of collaboration that unifies its global teams across US, UK, India & South Africa (a proud Level 2 B-BBEE Contributor).
We are looking for an experienced Data Technical Architect to design and implement scalable data platforms, modern data architectures, and cloud-based analytics solutions. The ideal candidate should have strong expertise in Databricks, Data Engineering, Big Data technologies, and cloud platforms.
Job Title: Data Technical Architect
Location: Houston Tx
Experience: 6+ Years
Mandatory Certification:
  • Databricks Certified Data Engineer Associate OR
  • Databricks Certified Data Engineer Professional

Key Responsibilities:
  • Design and implement enterprise-scale data architectures and Lakehouse solutions.
  • Lead Databricks-based data engineering initiatives.
  • Architect and optimize ETL/ELT pipelines for batch and real-time processing.
  • Collaborate with business stakeholders and technical teams to define data strategies and solutions.
  • Ensure data governance, security, quality, and performance best practices.
  • Mentor data engineering teams and provide architectural guidance.

Required Skills
  • Databricks (Delta Lake, Unity Catalog, Workflows, Databricks SQL)
  • Apache Spark / PySpark
  • Python & SQL
  • Data Warehousing and Data Modeling
  • ETL/ELT Architecture
  • Cloud Platform: Azure / AWS / GCP
  • Real-time and Batch Data Processing
  • Data Lakehouse Architecture

Preferred Skills
  • Snowflake, Synapse, Kafka
  • CI/CD and DevOps practices
  • Exposure to AI/ML and MLOps platforms
  • Client-facing architecture and consulting experience
Qualifications
  • Bachelor's or Master's degree in Computer Science, IT, Data Science, or related field.

Preferred Profile
  • A hands-on Data Architect with strong Databricks expertise, capable of leading enterprise data transformation initiatives, driving architecture decisions, and mentoring engineering teams while working closely with clients and stakeholders.