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Data Processing Jobs in Houston, TX (NOW HIRING)

Strategic Staffing Solutions

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

S3 never asks for money during its onboarding process. Job Title: Data Engineer Location: Houston, TX Contract Length: 12+ Months Pay: 80-90 per hr on W2 Job ref# 247245 Seeking a Senior Data ...

Foxconn Industrial Internet - FII

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Responsibilities : • Analyzes user needs, system requirements and business processes. • ETL/ manage data pipelines using Cicada. • Processing real-time and batch Big Data. • Design, create ...

Pwc

Data Engineer - Manager

Houston, TX · On-site

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 ...

Rysun Labs Inc

Data Technical Architect

Houston, TX · On-site

$70/hr

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 ...

Cedent

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 ...

CEDENT

Azure Data Engineer (Houston, TX)

Houston, TX

$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 ...

Expand Energy

Data Architect

Spring, TX · On-site

$58.75 - $75.50/hr

The Data Architect defines and evolves platform capabilities that support analytics, data ... Recommend tools, technologies, and process improvements to enhance delivery and platform ...

Tailored Brands

Sr Data Engineer

Houston, TX · On-site

$118K - $142K/yr

They also play a crucial role in identifying opportunities for automation, streamlining processes, and implementing cutting-edge technologies to drive innovation in data-driven decision-making.

Solomon Page

Manager Data Engineering

Houston, TX · On-site

$80/hr

Proficiency in Python and data processing libraries such as Pandas, NumPy, or PySpark. * Strong understanding of data governance, metadata management, data quality, and compliance best practices.

ExxonMobil

Data Engineer

Spring, TX · On-site

$105K - $126K/yr

Develop ETL processes and maintain application integrations across multiple systems and data sources * Prepare technical data for interpretation, conduct analyses and routine computer processing of ...

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Showing results 21-40

All JobsData Processing JobsData Processing Jobs in Houston, TX

Data Processing information

See Houston, TX salary details

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$19

$33

How much do data processing jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for data processing in Houston, TX is $19.35, according to ZipRecruiter salary data. Most workers in this role earn between $15.38 and $21.35 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in data processing, 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 data processing?

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 do you do as a data processing?

A data processing professional manages the collection, organization, and transformation of raw data into usable formats. This involves tasks such as data entry, cleaning, validation, and using tools like spreadsheets or specialized software to ensure data accuracy and readiness for analysis or reporting.

How do I get into data processing?

To enter data processing, develop skills in data management, programming languages like Python or SQL, and familiarity with data tools such as Excel or database systems. A relevant degree in computer science, information technology, or related fields can be helpful, and gaining experience through internships or entry-level positions can improve job prospects.
What are the most commonly searched types of Data Processing jobs in Houston, TX? The most popular types of Data Processing jobs in Houston, TX are:
What are popular job titles related to Data Processing jobs in Houston, TX? For Data Processing jobs in Houston, TX, the most frequently searched job titles are:
What job categories do people searching Data Processing jobs in Houston, TX look for? The top searched job categories for Data Processing jobs in Houston, TX are:
What cities near Houston, TX are hiring for Data Processing jobs? Cities near Houston, TX with the most Data Processing job openings:
Data Processing jobs near you
Infographic showing various Data Processing job openings in Houston, TX as of August 2026, with employment types broken down into 74% Full Time, 17% Part Time, and 9% Temporary. Highlights an 91% In-person, and 9% Remote job distribution, with an average salary of $40,255 per year, or $19.4 per hour.

Data Engineer

Strategic Staffing Solutions

Houston, TX • On-site

$109K - $131K/yr

Other

Posted 28 days ago

Job description

STRATEGIC STAFFING SOLUTIONS HAS AN OPENING!

This is a Contract Opportunity with our company that MUST be worked on a W2 Only. No C2C eligibility for this position. Visa Sponsorship is Available! The details are below.

Beware of scams. S3 never asks for money during its onboarding process.

Job Title: Data Engineer
Location: Houston, TX
Contract Length: 12+ Months
Pay: 80-90 per hr on W2

Job ref# 247245

Seeking a Senior Data Engineer to support Enterprise AI initiatives within the Shale & Tight business. This is a senior, hands-on engineering role responsible for designing, developing, and optimizing scalable cloud-based data platforms and pipelines that enable AI, analytics, and machine learning solutions.

The ideal candidate can work independently, solve complex technical problems, provide technical leadership, mentor engineers, and partner with Software Engineers, AI Engineers, Data Scientists, and business stakeholders to deliver enterprise-scale data solutions.

Required Qualifications


  • Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field (or equivalent experience)
  • 10+ years of Data Engineering experience
  • Expert-level Python and SQL development
  • Experience designing and building scalable ETL/ELT data pipelines
  • Strong experience with AWS, Azure, or Google Cloud Platform
  • Experience with distributed data processing technologies such as Spark or Databricks
  • Experience with data modeling, data architecture, and data integration
  • Experience with orchestration tools such as Airflow, Azure Data Factory (ADF), or AWS Glue
  • Experience working with both structured and unstructured data
  • Experience with CI/CD, Git, and DevOps best practices
  • Proven experience designing enterprise-scale data platforms and pipelines
  • Experience building data solutions supporting analytics, AI, or machine learning workloads
  • Strong troubleshooting and root cause analysis skills
  • Demonstrated experience providing technical leadership and mentoring Data Engineers
  • Excellent verbal and written communication skills
  • Ability to work independently, prioritize competing initiatives, and thrive in ambiguous environments

Key Responsibilities


  • Design, develop, and optimize scalable cloud-based data pipelines and platforms
  • Translate complex business requirements into technical solutions
  • Partner with Software Engineers, AI Engineers, Data Scientists, and business stakeholders to deliver enterprise AI data solutions
  • Lead the design and implementation of scalable, secure, and maintainable data architectures
  • Improve existing data infrastructure through automation and engineering best practices
  • Ensure data quality, governance, reliability, and platform performance
  • Troubleshoot production issues and perform root cause analysis
  • Mentor junior and mid-level Data Engineers while providing technical leadership
  • Drive engineering standards, documentation, and code quality

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