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Data Processing Jobs in Dallas, TX (NOW HIRING)

Programmers.io

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 ...

Ascentt

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 ...

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 ...

Ascentt

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 ...

Ascentt

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 ...

TEKEngineersInc

Data engineer / Data Brick

Dallas, TX · On-site

$113K - $136K/yr

Optimize workloads, monitoring, and operational processes to ensure scalability, security, and cost ... ETL/ELT data pipelines using Apache Spark. 8 Years of Experience in data warehousing and ...

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 ...

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 ...

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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Showing results 21-40

All JobsData Processing JobsData Processing Jobs in Dallas, TX

Data Processing information

See Dallas, TX salary details

$12

$20

$34

How much do data processing jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for data processing in Dallas, TX is $20.04, according to ZipRecruiter salary data. Most workers in this role earn between $15.91 and $22.12 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 the most commonly searched types of Data Processing jobs in Dallas, TX? The most popular types of Data Processing jobs in Dallas, TX are:
What are popular job titles related to Data Processing jobs in Dallas, TX? For Data Processing jobs in Dallas, TX, the most frequently searched job titles are:
What job categories do people searching Data Processing jobs in Dallas, TX look for? The top searched job categories for Data Processing jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for Data Processing jobs? Cities near Dallas, TX with the most Data Processing job openings:
Data Processing jobs near you
Infographic showing various Data Processing job openings in Dallas, TX as of August 2026, with employment types broken down into 87% Full Time, and 13% Contract. Highlights an 87% In-person, and 13% Remote job distribution, with an average salary of $41,692 per year, or $20 per hour.

Pyspark/Python Data Engineer

Tata Consultancy Service Limited

Irving, TX • On-site

$100K - $120K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Must Have Technical/Functional Skills
We are looking for a skilled PySpark Data Engineer with strong hands-on experience in PySpark and Python to design, build, and optimize scalable data processing pipelines. The ideal candidate will have practical experience working with distributed data processing and a solid foundation in writing efficient, production-grade Python code
Required Technical Skills
- Strong hands-on experience in PySpark (Spark SQL, DataFrame API)
- Advanced proficiency in Python (data processing, performance tuning, modular coding)
- Solid understanding of ETL design patterns and data pipeline architecture
- Good working knowledge of SQL for data transformation and analysis
- Experience with data processing in distributed environments
Preferred Skills (Good to Have)
- Experience with cloud platforms (AWS preferred S3, Glue, EMR or equivalent services)
- Familiarity with workflow orchestration tools such as Airflow or similar schedulers
- Exposure to data warehousing concepts (e.g., Snowflake or similar platforms)
- Knowledge of code versioning (Git) and CI/CD practices
Experience
• 38 years of experience in Data Engineering / PySpark development
• Proven hands-on project experience in PySpark + Python
Roles & Responsibilities
• Design, develop, and maintain ETL/ELT pipelines using PySpark
• Write optimized and scalable PySpark transformations using DataFrames and Spark SQL
• Develop reusable and efficient Python-based data processing components
• Ensure data quality, integrity, and performance across pipelines
• Perform debugging, performance tuning, and optimization of PySpark jobs
• Collaborate with cross-functional teams (Data Analysts, Architects, DevOps)
• Contribute to CI/CD pipelines and deployment workflows for data applications
• Monitor and troubleshoot data workloads in production environments
Salary Range: $100,000 to $120,000 per year

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