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Data Processor Jobs in Allen, TX (NOW HIRING)

Data Engineer

Plano, TX · On-site

$110K - $132K/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 ...

Data Architect

Dallas, TX · On-site

$63.25 - $81.50/hr

Develop and optimize data pipelines and ETL/ELT processes. * Work with cloud data platforms such as AWS, Azure, or Google Cloud Platform . * Design solutions using platforms such as Snowflake ...

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 ...

EIM Senior Data Engineer

Irving, TX · On-site

$109K - $132K/yr

6+ years of experience in Developing and maintaining scalable software applications using Python and PySpark for large-scale data processing and analytics. Design and implement efficient Big Data ...

EIM Senior Data Engineer

Irving, TX · On-site

$109K - $132K/yr

6+ years of experience in Developing and maintaining scalable software applications using Python and PySpark for large-scale data processing and analytics. Design and implement efficient Big Data ...

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 ...

New

Medical Claim Processor

Plano, TX · On-site

$18.50 - $21/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

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 ...

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 ...

Data Architect

Dallas, TX

$140/hr

  • Medical

  • Life

  • Retirement

  • PTO

Implement scalable data processing frameworks capable of supporting growing dataset volumes. * Improve indexing and metadata strategies that support dataset search and discovery. * Enable advanced ...

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 ...

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 ...

Showing results 21-40

Data Processor information

See Allen, TX salary details

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How much do data processor jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for data processor in Allen, TX is $18.85, 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 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.

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 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.

How much does a data processor earn?

The average salary for a data processor typically ranges from $30,000 to $45,000 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. Many roles also offer 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 consistency. They often use software tools like spreadsheets or databases and may perform tasks such as data entry, validation, and updating records to support business operations.

What are popular job titles related to Data Processor jobs in Allen, TX?

For Data Processor jobs in Allen, TX, the most frequently searched job titles are:

What job categories do people searching Data Processor jobs in Allen, TX look for?

The top searched job categories for Data Processor jobs in Allen, TX are:

What cities near Allen, TX are hiring for Data Processor jobs?

Cities near Allen, TX with the most Data Processor job openings:

Infographic showing various Data Processor job openings in Allen, TX as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $39,210 per year, or $18.9 per hour.

$110K - $132K/yr

Other

Posted 4 days ago


Job description

Ascentt is transforming the future of manufacturing through advanced Data Analytics, AI/ML, and Generative AI solutions. We partner with global manufacturing enterprises to convert complex industrial data into actionable, real-time business insights. Our teams work on scalable, high-impact engineering challenges across cloud, data, and intelligent automation ecosystems. If you are passionate about innovation, solving complex problems, and building next-generation data platforms, Ascentt offers an exciting opportunity to create real-world impact at scale.
We are looking for a passionate and highly motivated Data Engineer to join our growing data team. In this role, you will work on building scalable data platforms, optimizing large-scale data pipelines, and enabling data-driven decision-making across the organization. You will collaborate closely with Data Scientists, Analysts, and business stakeholders to develop modern cloud-based data solutions using technologies such as Databricks, Snowflake, PySpark, SQL, and Python. If you enjoy solving complex data challenges and working in a fast-paced, innovative environment, we'd love to connect with you.
Key Responsibilities:
  • Design, build, and maintain scalable ETL/ELT pipelines for processing large volumes of structured and unstructured data
  • 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, efficient, and production-ready SQL queries and Python code for data transformation, automation, and analytics
  • Collaborate with cross-functional teams including Data Analysts, Data Scientists, Product teams, and Business stakeholders to deliver data-driven solutions
  • Ensure data quality, governance, integrity, scalability, and reliability across enterprise data systems
  • Monitor, troubleshoot, and optimize existing pipelines, workflows, and database performance
  • Implement best practices around coding standards, testing, CI/CD, version control, and technical documentation

Required Skills & Qualifications:
  • 2-5 years of experience in Data Engineering or related roles
  • Strong hands-on experience with Databricks and/or Snowflake
  • Proficiency in SQL and Python programming
  • Practical experience with PySpark and distributed data processing
  • Solid understanding of Data Warehousing, ETL/ELT concepts, and Data Modeling
  • Experience working with large-scale datasets in cloud-based environments
  • Bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical field

Preferred Skills:
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform
  • Familiarity with orchestration and transformation tools such as Airflow, dbt, or Azure Data Factory (ADF)
  • Knowledge of Git, CI/CD pipelines, and DevOps best practices
  • Exposure to Delta Lake, Lakehouse architecture, Kafka, Spark Streaming, or real-time data processing
  • Experience working in Agile/Scrum environments is a plus