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Data Processor Jobs in Irving, TX (NOW HIRING)

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

Strong experience in Python and PySpark/Spark for large-scale data processing * Experience working with Databricks and Delta Lake architecture * Good understanding of SQL (PostgreSQL) and NoSQL ...

Data Engineer

Plano, TX · On-site

$110K - $132K/yr

Responsibilities : • Design, build, and maintain scalable ETL/ELT pipelines for processing large volumes of structured and unstructured data • Develop high-performance data processing solutions ...

Data Engineer

Plano, TX · On-site

$109K - $131K/yr

Develop high-performance data processing solutions using PySpark and distributed computing frameworks * Build, optimize, and manage data platforms on Databricks and/or Snowflake * Write clean ...

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 ...

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 : • ...

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 ...

Medical Claim Processor

Plano, TX · On-site

$18.50 - $21/hr

Stay abreast of fee schedule states that are not up to date in the data processing system * Understand the guidelines and differences between types of carriers/clients, which include workers ...

JD: Responsibilities: • Understand the current data processing and logic applied across multiple stages of the data flow. • Work on the data issues identified for Business and Technology ...

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 ...

Strong expertise in geospatial analytics and LiDAR data processing. * Hands-on experience with ArcGIS, PostGIS, GeoPandas, GDAL/OGR, PDAL, and related geospatial libraries. * Experience working with ...

New

Strong expertise in geospatial analytics and LiDAR data processing. * Hands-on experience with ArcGIS, PostGIS, GeoPandas, GDAL/OGR, PDAL, and related geospatial libraries. * Experience working with ...

New

Strong expertise in geospatial analytics and LiDAR data processing. * Hands-on experience with ArcGIS, PostGIS, GeoPandas, GDAL/OGR, PDAL, and related geospatial libraries. * Experience working with ...

New

Showing results 21-40

Data Processor information

See Irving, TX salary details

$11

$19

$33

How much do data processor jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for data processor 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 the difference between Data Processor vs Data Entry Clerk?

AspectData ProcessorData Entry Clerk
Required CredentialsHigh school diploma; some roles may require basic certificationsHigh school diploma; no specialized certifications typically needed
Work EnvironmentOffice settings, data centers, or remote workOffice environments, often in administrative settings
Employer & Industry UsageBusinesses, government agencies, financial institutionsCorporations, healthcare, retail, administrative offices
Common Search & ComparisonOften compared for data handling and processing tasksCompared for data input and administrative support roles

While both roles involve handling data, Data Processors typically perform more complex data management and validation tasks, often requiring some technical skills. Data Entry Clerks focus on inputting data accurately and efficiently. Understanding these differences helps in choosing the right role based on skills and career goals.

What are some common challenges faced by data processors and how can they be addressed?

Data Processors often encounter challenges such as managing large volumes of data accurately and efficiently, dealing with inconsistent or incomplete data, and ensuring data privacy and compliance. To address these, it's important to develop strong attention to detail, become proficient with data processing software, and stay updated on relevant data protection regulations. Collaborating closely with data analysts and IT teams can also help resolve data issues and improve workflow efficiency.

What is a data processor?

A data processor transfers, organizes, and processes personal data for a company. It is typically an entry-level job that serves as a starting point for a career as a data controller. As a data processor, your duties involve processing incoming documents, transferring analog documents into digital data, verifying the information in all documents, updating document formats, and creating detailed reports on company data use and management. Qualifications for this career include excellent computer skills and a bachelor’s degree in computer science or data management.

What are the key skills and qualifications needed to thrive as a data processor, and why are they important?

To thrive as a Data Processor, you need strong attention to detail, accuracy in data entry, and a high school diploma or equivalent. Familiarity with spreadsheet software (such as Microsoft Excel), database management systems, and sometimes data processing software is typically required. Excellent organizational skills, the ability to follow procedures, and effective time management make someone stand out in this role. These skills ensure data integrity, minimize errors, and support efficient information management within an organization.

How much does a data processor earn?

The average salary for a data processor in the United States ranges from $30,000 to $50,000 per year, depending on experience, location, and industry. Entry-level positions may start lower, while experienced data processors with specialized skills or certifications can earn higher wages. Salaries are often complemented by benefits such as health insurance and paid time off.

What do you do as a data processor?

A data processor collects, organizes, and manages data to ensure accuracy and accessibility. They often use software tools like spreadsheets or databases and may perform tasks such as data entry, validation, and updating to support business operations.
What are popular job titles related to Data Processor jobs in Irving, TX? For Data Processor jobs in Irving, TX, the most frequently searched job titles are:
What cities near Irving, TX are hiring for Data Processor jobs? Cities near Irving, TX with the most Data Processor job openings:
Infographic showing various Data Processor job openings in Irving, TX as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 11% Part Time, and 6% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $40,477 per year, or $19.5 per hour.

Data Engineer

Programmers.io

Dallas, TX • On-site

$113K - $136K/yr

Full-time

Re-posted 22 days ago


Job description

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 and Delta Lake architecture
• Good understanding of SQL (PostgreSQL) and NoSQL databases (MongoDB, Redis)
• Exposure to Kafka Streaming or real-time data processing frameworks
• Experience with Azure or AWS cloud platforms
• Understanding of data partitioning, performance tuning, and in-memory optimizations
• Experience working in Linux/Unix environments
• Knowledge of CI/CD pipelines and production deployment practices
• Familiarity with REST APIs and application development concepts
• Understanding of software design patterns and system architecture
• Exposure to multi-user data platforms and access management
• GenAI exposure (preferred): understanding of LLM workflows, prompt versioning, evaluation frameworks