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Data Processing Jobs in Spring, TX (NOW HIRING)

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Responsibilities: * 10%, Analyzes user needs, system requirements and business processes. * 40%, ETL/ manage data pipelines using Cicada. * 40%, Processing real-time and batch Big Data. * 10%, Design ...

Data Engineer

Houston, TX

$109K - $131K/yr

S3 never asks for money during its onboarding process." Job Title: Data Engineer Location: Houston, TX Contract Length: 12+ Months Job ref# 247245 Seeking a Senior Data Engineer to support Enterprise ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 Architect

Spring, TX

$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 ...

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.

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

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.

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 ...

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 ...

Showing results 21-40

Data Processing information

See Spring, TX salary details

$10

$18

$31

How much do data processing jobs pay per hour?

As of Aug 8, 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 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 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 August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 14% Part Time, and 5% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $37,512 per year, or $18 per hour.

Data Engineer

Foxconn Industrial Internet - FII

Houston, TX • On-site

$109K - $131K/yr

Full-time

Re-posted 24 days ago


Job description

Job Summary:

Foxconn Houston has several Lighthouse Factory plants manufacturing servers and server cabinets. The company is hiring dedicated data engineers to ensure its data is accessible, secure, and efficient. This role collaborates with data analysts to create data pipelines for data from all kinds of sources within the manufacturing factory setting. The data engineer will create, maintain, and optimize ETL pipelines using Apache or other Big Data tools and Cicada, an internal ETL tool. This role will manage big data that are cross-factory, cross-business-units and cross-systems.

Responsibilities:

  • 10%, Analyzes user needs, system requirements and business processes.
  • 40%, ETL/ manage data pipelines using Cicada.
  • 40%, Processing real-time and batch Big Data.
  • 10%, Design, create, maintain, update, manage and present Tableau Dashboards.

Skills/Qualifications:

  • Native speaking in Chinese Mandarin with ability to read the language and work in a professional setting.
  • 3+ years of experience in data engineering, such as data warehousing and ETL pipeline design, development, and maintenance and optimization.
  • Proficiency in ETL tool programing, debugging, maintenance, and monitoring to ensure data ingestion, cleansing, and loading.
  • Experience with data warehouse modeling and standardization.
  • Experience with backend API integration.
  • Experience with system automated code CI/CD.
  • Experience with system performance tuning and monitoring.
  • Proficiency in SQL and Python.
  • Proficiency in Hadoop, Kudu, Hive, Kafka, Spark and/or Flink.
  • Proficiency in real-time and batch data processing on Big Data platforms
  • Database development using Kudu 1.10.0 and higher, or Hive 2.1.1 and higher.
  • RESTful API’s programming, at least 1 year of development experience.
  • Advanced knowledge and experience with Linux (CentOS, RedHat, Ubuntu).
  • Excellent communication, organization, and interpersonal skills.
  • Experience leading data development projects.
  • Excellent problem-solving skills with extreme attention to detail.
  • Outstanding work ethic and commitment to individual and organizational success.
  • Excellent analytical and advanced troubleshooting skills with end-users/clients.
  • Ability to manage multiple tasks and projects, both independently and as part of a team.
  • Demonstrated ability to learn new things and continuously drive process improvement.

Plus/Desired:

  • Familiar with electronics manufacturing industry domain know-how.
  • Experience with Git Repositories (GITLAB) or JIRA.
  • Experience with HTML5, CSS3, JavaScript and use front-end code debugging tools such as Chrome.
  • Proficiency in Tableau or other data visualization tools.

Educational Requirements:

  • Bachelor’s degree in Data Engineering, Data Science, Data Management, Information Systems or related fields.
  • Any software programming certifications are a plus.

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