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Data Processing Jobs in Texas (NOW HIRING)

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 ...

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 ...

Compunnel

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

The role requires strong expertise in Guidewire PolicyCenter and BillingCenter, cloud-based data solutions, and large-scale data processing, along with a solid understanding of insurance policy and ...

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 ...

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 ...

Seismic Works

Data QC - Data Processor

Houston, TX · On-site

As Data QC/Data Processor you will be responsible in inspecting the quality of raw data by ... processing requirements of individual datasets with teams and advisers. You will monitor the ...

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All JobsData Processing JobsData Processing Jobs in Texas

Data Processing information

See Texas salary details

$11

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$32

How much do data processing jobs pay per hour?

As of Aug 12, 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 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 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 August 2026, with employment types broken down into 73% Full Time, 7% Part Time, and 20% Contract. Highlights an 87% In-person, 3% Hybrid, and 10% Remote job distribution, with an average salary of $39,272 per year, or $18.9 per hour.

Data Engineer & Big Data ML Engineer

Argyllinfotech

Plano, TX • On-site

$65/hr

Contractor

Posted 14 days ago

Job description

 
Hiring: Data Engineer / Big Data ML Engineer | Plano, TX (100% Onsite) | Capital One

Location: Plano, TX (100% Onsite)
End Client: Capital One Financial Corporation
Employment Type: Contract (09/08/2026 – 03/31/2027)
Our Rate: $65/hr C2C | $61/hr W2
‍ Experience: 8+ Years

We are looking for an experienced Data Engineer / Big Data ML Engineer to build scalable, high-performance data platforms supporting enterprise analytics and Machine Learning initiatives. If you're passionate about Big Data, distributed computing, cloud technologies, and real-time data engineering, we'd love to hear from you!

Key Responsibilities

✅ Design, build, and maintain scalable batch and real-time data pipelines.
✅ Develop distributed data processing solutions using Apache Spark, Kafka, Hadoop, and Amazon EMR.
✅ Build robust ETL/ELT frameworks for enterprise-scale data processing.
✅ Design cloud-native data solutions on AWS, Azure, or GCP.
✅ Develop data engineering solutions using Java, Python, and SQL.
✅ Implement event-driven architectures and real-time data processing.
✅ Build workflow orchestration solutions using Airflow, AWS Step Functions, Azure Data Factory, or Prefect.
✅ Optimize pipeline performance, scalability, monitoring, and data quality.
✅ Collaborate with Data Scientists, ML Engineers, DevOps, and Product Teams.
✅ Support production environments, troubleshoot pipeline issues, and drive continuous improvements.

Required Skills

✔️ 8+ years of Data Engineering / Big Data experience.
✔️ Strong expertise in Java, Python, and SQL.
✔️ Hands-on experience with Apache Spark, Apache Kafka, Hadoop, and Amazon EMR.
✔️ Strong knowledge of ETL/ELT, Data Pipelines, and Distributed Computing.
✔️ Experience building Real-Time Data Processing and Event-Driven Architectures.
✔️ Experience with AWS, Azure, or Google Cloud Platform (GCP).
✔️ Knowledge of Snowflake, Redshift, BigQuery, Azure Synapse, or similar cloud data warehouses.
✔️ Experience with Agile, Git, CI/CD, and DevOps collaboration.

⭐ Preferred Skills

✅ Machine Learning data pipelines & Feature Engineering.
✅ Airflow, Prefect, AWS Step Functions, or Azure Data Factory.
✅ Data Lake / Lakehouse technologies (Delta Lake, Apache Iceberg, Apache Hudi).
✅ Data Quality Frameworks and Monitoring/Observability tools.
✅ Financial Services or other regulated industry experience.

Interested candidates, please share your updated resume