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Data Processing Jobs in Texas (NOW HIRING)

Tata Consultancy Services

AWS Data Engineer

Irving, TX · On-site

$125K - $140K/yr

The ideal candidate will have strong expertise in big data processing using PySpark and a deep understanding of data warehousing concepts, including Hive and modern table formats like Iceberg. This ...

Tek Ninjas

GCP Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

* Design and implement data pipelines on Google Cloud Platform to support data processing and analytics * Optimize and monitor data pipelines for performance and reliability * Collaborate with data ...

Diverse Lynx

AWS Data Engineer

Irving, TX · On-site

$109K - $132K/yr

Big Data Processing: Develop and optimize big data processing jobs using PySpark on AWS EMR or AWS Glue, handling large datasets efficiently and integrating with Iceberg table formats. * Data ...

Diverse Lynx

PySpark/Python Data Engineer

Irving, TX · On-site

$100K - $120K/yr

Advanced Python programming skills with focus on data processing and performance optimization * Expertise in ETL/ELT design patterns and data pipeline architecture * Strong SQL skills for data ...

Photon

Architect - Data Engineering - Irving

Irving, TX · On-site

$61.25 - $78.75/hr

Develop, test, and deploy data processing applications using Apache Spark and Scala. * Optimize and tune Spark applications for better performance on large-scale data sets. * Work with the Cloudera ...

Programmers.io

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

Role - Data Engineer • 2-3 years of hands-on experience in Data Engineering • Strong experience in Python and PySpark/Spark for large-scale data processing • Experience working with Databricks ...

Futran Tech Solutions Pvt. Ltd.

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

JD: • 2-3 years of hands-on experience in Data Engineering • Strong experience in Python and PySpark/Spark for large-scale data processing • Experience working with Databricks and Delta Lake ...

Qode

Data Engineer

Irving, TX · On-site

$110K - $133K/yr

Design, develop, and maintain scalable data pipelines and ETL processes * Work extensively with MEM SQL (SingleStore) for real-time and large-scale data processing * Optimize database performance ...

Xforia, Inc.

Sr. Data Engineer

Dallas, TX · On-site

$105K - $126K/yr

... ETL processes, and data modeling. • Proven experience as a Technical Lead with a focus on Databricks and big data technologies on Azure Cloud Platform. • Design and implement scalable and ...

Kasmo Global

Microsoft Fabric Data Architect

Plano, TX · On-site

$61.25 - $78.75/hr

Own the design and implementation of Microsoft Fabric architectures to support sophisticated analytics and data processing requirements * Be responsible for the development and optimization of MS ...

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Data Processing information

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How much do data processing jobs pay per hour?

As of Jun 29, 2026, the average hourly pay for data processing in Texas is $18.88, according to ZipRecruiter salary data. Most workers in this role earn between $15.00 and $20.82 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.

Is a data processor a good job?

A data processing job involves organizing, inputting, and managing data using tools like spreadsheets and database software. It can offer steady employment and requires attention to detail, but may have repetitive tasks and limited advancement opportunities depending on the organization. Overall, it can be a suitable entry-level role for those interested in data management.

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.

How can I make 2000 a week working from home?

Data processing jobs can pay varying rates depending on experience, complexity, and workload, with some freelancers earning $2000 or more weekly by taking on multiple projects or clients. To reach this income level, strong skills in data entry, analysis, or software tools are essential, along with efficient time management and possibly certification. Building a reliable client base and working consistently are key factors in achieving higher weekly earnings from home.

How much does data processing make?

Data processing jobs typically pay between $35,000 and $70,000 annually, depending on experience, location, and industry. Entry-level roles may start lower, while experienced professionals with skills in data management and software tools can earn higher salaries.
What are the most commonly searched types of Data Processing jobs in Texas? The most popular types of Data Processing jobs in Texas are:
What are popular job titles related to Data Processing jobs in Texas? For Data Processing jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Data Processing jobs in Texas look for? The top searched job categories for Data Processing jobs in Texas are:
What cities in Texas are hiring for Data Processing jobs? Cities in Texas with the most Data Processing job openings:
Data Processing jobs near you
Infographic showing various Data Processing job openings in Texas as of June 2026, with employment types broken down into 55% Full Time, 8% Part Time, 4% Temporary, and 33% Contract. Highlights an 100% In-person job distribution, with an average salary of $39,272 per year, or $18.9 per hour.

Specialist - Data Engineering

Futran Tech Solutions Pvt. Ltd.

Irving, TX • On-site

$109K - $132K/yr

Full-time

Posted 12 days ago

Job description

Job Title Azure Data Engineer
Irving TX Onsite
Desired Skills
1Possess a minimum of 5 years of experience in data engineering and development
2Strong experience in designing and implementing data solutions using Azure data services Azure Databricks Azure Data Lake Azure Synapse Analytics Azure Data Factory
3Have a strong background in Retail CPG domain
4Proficiency in SQL TSQL and data modelling techniques
5Experience with PySpark and orchestration tools like Apache Airflow are highly desirable
6Hands on experience with scripting languages such as Python for data processing and manipulation
7Strong analytical and problemsolving skills
8Excellent communication and interpersonal skills with ability to work effectively in a collaborative team environment
9Knowledge on Databricks Unity Catalog and visualization tools like Power BI is a plus
Roles and responsibilities
1Develop and optimize data workflows using PySpark ADLS and Databricks workflows to support business objectives
2Implement and maintain data pipelines to ensure efficient data processing and storage
3Collaborate with crossfunctional teams to gather requirements and deliver data solutions that meet business needs
4Provide technical expertise in the design and implementation of data solutions ensuring scalability and performance
5Monitor and troubleshoot data workflows to ensure reliability and accuracy of data processing
6Apply Spark in Python for advanced data processing and analytics
7Build automation solutions and utilities to eliminate manual efforts and repetitive tasks
8Utilize Databricks SQL for effective data management and querying
9Implement monitoring solutions in Azure to track resource utilization performance and health of data workflows
10Manage and organize data assets using Databricks Unity Catalog
11Leverage Azure DevOps for continuous integration and deployment of data solutions
12Secure data workflows using Azure Key Vault and ensure compliance with data security standards

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