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Data Processing Jobs in Irving, TX (NOW HIRING)

Photon

SPARK Data Onboarding Engineer- NJ

Addison, TX · On-site

We are seeking a skilled PySpark Data Engineer to join our team and drive the development of robust data processing and transformation solutions within our data platform. You will be responsible for ...

Photon

SPARK Data Onboarding Engineer- NJ

Addison, TX · On-site

We are seeking a skilled PySpark Data Engineer to join our team and drive the development of robust data processing and transformation solutions within our data platform. You will be responsible for ...

Synergie Systems

Entry Level Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

Use Python to automate data-processing and engineering tasks. Perform data validation, quality checks, and troubleshooting. Work with relational and cloud databases. Assist in building and ...

New

Alpha Consulting Corp.

Data Engineer

Plano, TX · On-site

$110K - $132K/yr

The ideal candidate will have experience in the banking sector and possess a strong technical background in data engineering, cloud storage, and data processing technologies. Responsibilities : • ...

eFulgent

Data Modeler

Richardson, TX · On-site

$49.75 - $64.50/hr

... processing scripts - Familiarity with big data technologies - Use of data modeling tools (e.g., Erwin, PowerDesigner) - Domain Experience: - Deep understanding of healthcare data (claims, EMR/EHR ...

Ventechsoft Inc

Data Engineer

Plano, TX · On-site

$110K - $132K/yr

Data Engineer Location : Plano, TX (Onsite - Hybrid, 3 days Onsite/Week) Duration : 24+ Months ... is plus Distributing processing - Knowledge/Exp is good to have Snowflake - Good to have not ...

Sarian, Inc.

Sr. Pyspark Data Engineer

Irving, TX · On-site

$109K - $132K/yr

The ideal candidate will have expertise in big data processing, ETL pipeline development, and cloud-based data engineering solutions. You will work closely with data analysts, data scientists, and ...

Smash CR

Data Analyst (P-174)

Dallas, TX · On-site

Use Python and PySpark for data processing, transformation, automation, and analysis. * Work with Apache Spark and Spark SQL to process and analyze large datasets efficiently. * Support data analysis ...

Smash CR

Data Analyst (P-174)

Dallas, TX · On-site

Use Python and PySpark for data processing, transformation, automation, and analysis. * Work with Apache Spark and Spark SQL to process and analyze large datasets efficiently. * Support data analysis ...

New

ClifyX

Junior Data Engineer

Plano, TX · On-site

$110K - $132K/yr

Responsibilities : • Design, develop, and maintain scalable ETL/ELT pipelines to process structured and unstructured data • Design, develop, and maintain data pipelines using Snowflake and dbt ...

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All JobsData Processing JobsData Processing Jobs in Irving, TX

Data Processing information

See Irving, TX salary details

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How much do data processing jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for data processing in Irving, TX is $19.46, according to ZipRecruiter salary data. Most workers in this role earn between $15.48 and $21.49 per hour, depending on experience, location, and employer.

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 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 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 do you do as a data processing?

A data processing professional collects, organizes, and analyzes data to ensure accuracy and usability. They use tools like spreadsheets, databases, and data management software to clean, transform, and prepare data for reporting or decision-making. Attention to detail and knowledge of data handling techniques are essential in this role.

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 most commonly searched types of Data Processing jobs in Irving, TX?

The most popular types of Data Processing jobs in Irving, TX are:

What are popular job titles related to Data Processing jobs in Irving, TX?

For Data Processing jobs in Irving, TX, the most frequently searched job titles are:

What job categories do people searching Data Processing jobs in Irving, TX look for?

The top searched job categories for Data Processing jobs in Irving, TX are:

What cities near Irving, TX are hiring for Data Processing jobs?

Cities near Irving, TX with the most Data Processing job openings:

Data Processing jobs near you
Infographic showing various Data Processing job openings in Irving, TX as of August 2026, with employment types broken down into 72% Full Time, and 28% Contract. Highlights an 100% In-person job distribution, with an average salary of $40,477 per year, or $19.5 per hour.

SPARK Data Onboarding Engineer- NJ

Photon

Addison, TX • On-site

Full-time

Re-posted 14 days ago

Job description

Job Title: PySpark Data Engineer

Summary:

We are seeking a skilled PySpark Data Engineer to join our team and drive the development of robust data processing and transformation solutions within our data platform. You will be responsible for designing, implementing, and maintaining PySpark-based applications to handle complex data processing tasks, ensure data quality, and integrate with diverse data sources. The ideal candidate possesses strong PySpark development skills, experience with big data technologies, and the ability to work in a fast-paced, data-driven environment.

Key Responsibilities: Data Engineering Development:
  • Design, develop, and test PySpark-based applications to process, transform, and analyze large-scale datasets from various sources, including relational databases, NoSQL databases, batch files, and real-time data streams.
  • Implement efficient data transformation and aggregation using PySpark and relevant big data frameworks.
  • Develop robust error handling and exception management mechanisms to ensure data integrity and system resilience within Spark jobs.
  • Optimize PySpark jobs for performance, including partitioning, caching, and tuning of Spark configurations.
Data Analysis and Transformation:
  • Collaborate with data analysts, data scientists, and data architects to understand data processing requirements and deliver high-quality data solutions.
  • Analyze and interpret data structures, formats, and relationships to implement effective data transformations using PySpark.
  • Work with distributed datasets in Spark, ensuring optimal performance for large-scale data processing and analytics.
Data Integration and ETL:
  • Design and implement ETL (Extract, Transform, Load) processes to ingest and integrate data from various sources, ensuring consistency, accuracy, and performance.
  • Integrate PySpark applications with data sources such as SQL databases, NoSQL databases, data lakes, and streaming platforms
Qualifications and Skills:
  • Bachelor's degree in Computer Science, Information Technology, or a related field.
  • 5+ years of hands-on experience in big data development, preferably with exposure to data-intensive applications.
  • Strong understanding of data processing principles, techniques, and best practices in a big data environment.
  • Proficiency in PySpark, Apache Spark, and related big data technologies for data processing, analysis, and integration.
  • Experience with ETL development and data pipeline orchestration tools (e.g., Apache Airflow, Luigi).
  • Strong analytical and problem-solving skills, with the ability to translate business requirements into technical solutions.
  • Excellent communication and collaboration skills to work effectively with data analysts, data architects, and other team members.

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